{"id":"https://openalex.org/W4407407417","doi":"https://doi.org/10.1186/s12911-025-02899-8","title":"Haematology dimension reduction, a large scale application to regular care haematology data","display_name":"Haematology dimension reduction, a large scale application to regular care haematology data","publication_year":2025,"publication_date":"2025-02-12","ids":{"openalex":"https://openalex.org/W4407407417","doi":"https://doi.org/10.1186/s12911-025-02899-8","pmid":"https://pubmed.ncbi.nlm.nih.gov/39939843"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-025-02899-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02899-8","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02899-8","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02899-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085001866","display_name":"Huibert-Jan Joosse","orcid":"https://orcid.org/0000-0002-2898-6954"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]},{"id":"https://openalex.org/I2802164966","display_name":"University Hospital Heidelberg","ror":"https://ror.org/013czdx64","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2802164966"]},{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Huibert-Jan Joosse","raw_affiliation_strings":["Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands","institution_ids":["https://openalex.org/I223822909","https://openalex.org/I2802164966","https://openalex.org/I3018483916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106838900","display_name":"Chontira Chumsaeng-Reijers","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]},{"id":"https://openalex.org/I2802164966","display_name":"University Hospital Heidelberg","ror":"https://ror.org/013czdx64","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2802164966"]},{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Chontira Chumsaeng-Reijers","raw_affiliation_strings":["Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands","institution_ids":["https://openalex.org/I223822909","https://openalex.org/I2802164966","https://openalex.org/I3018483916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012927400","display_name":"Albert Huisman","orcid":"https://orcid.org/0000-0002-2291-2487"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]},{"id":"https://openalex.org/I2802164966","display_name":"University Hospital Heidelberg","ror":"https://ror.org/013czdx64","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2802164966"]},{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Albert Huisman","raw_affiliation_strings":["Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands","institution_ids":["https://openalex.org/I223822909","https://openalex.org/I2802164966","https://openalex.org/I3018483916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067234996","display_name":"Imo E. Hoefer","orcid":"https://orcid.org/0000-0002-8379-7814"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]},{"id":"https://openalex.org/I2802164966","display_name":"University Hospital Heidelberg","ror":"https://ror.org/013czdx64","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2802164966"]},{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Imo E. Hoefer","raw_affiliation_strings":["Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands","institution_ids":["https://openalex.org/I223822909","https://openalex.org/I2802164966","https://openalex.org/I3018483916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059747918","display_name":"Wouter W. van Solinge","orcid":"https://orcid.org/0000-0003-2867-2581"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]},{"id":"https://openalex.org/I2802164966","display_name":"University Hospital Heidelberg","ror":"https://ror.org/013czdx64","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2802164966"]},{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Wouter W. van Solinge","raw_affiliation_strings":["Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands","institution_ids":["https://openalex.org/I223822909","https://openalex.org/I2802164966","https://openalex.org/I3018483916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011080885","display_name":"Saskia Haitjema","orcid":"https://orcid.org/0000-0001-5465-4868"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]},{"id":"https://openalex.org/I2802164966","display_name":"University Hospital Heidelberg","ror":"https://ror.org/013czdx64","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2802164966"]},{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Saskia Haitjema","raw_affiliation_strings":["Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands","institution_ids":["https://openalex.org/I223822909","https://openalex.org/I2802164966","https://openalex.org/I3018483916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113051775","display_name":"Bram van Es","orcid":null},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]},{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]},{"id":"https://openalex.org/I2802164966","display_name":"University Hospital Heidelberg","ror":"https://ror.org/013czdx64","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2802164966"]},{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["DE","NL"],"is_corresponding":true,"raw_author_name":"Bram van Es","raw_affiliation_strings":["Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands. b.vanes-3@umcutrecht.nl","Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands. b.vanes-3@umcutrecht.nl","institution_ids":["https://openalex.org/I193662353","https://openalex.org/I223822909","https://openalex.org/I2802164966","https://openalex.org/I3018483916"]},{"raw_affiliation_string":"Central Diagnostic Laboratory, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands","institution_ids":["https://openalex.org/I223822909","https://openalex.org/I2802164966","https://openalex.org/I3018483916"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113051775"],"corresponding_institution_ids":["https://openalex.org/I193662353","https://openalex.org/I223822909","https://openalex.org/I2802164966","https://openalex.org/I3018483916"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":1.059,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72831221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"25","issue":"1","first_page":"75","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.5909000039100647,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.5909000039100647,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.11140000075101852,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11314","display_name":"Clinical Laboratory Practices and Quality Control","score":0.06080000102519989,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8429053425788879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6001322865486145},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5432953834533691},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5072936415672302},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.46430376172065735},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45985111594200134},{"id":"https://openalex.org/keywords/data-reduction","display_name":"Data reduction","score":0.4258829355239868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34827470779418945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33720332384109497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.239861398935318},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21464255452156067}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8429053425788879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6001322865486145},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5432953834533691},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5072936415672302},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.46430376172065735},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45985111594200134},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.4258829355239868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34827470779418945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33720332384109497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.239861398935318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21464255452156067},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078326","descriptor_name":"Data Visualization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078326","descriptor_name":"Data Visualization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078326","descriptor_name":"Data Visualization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001330","descriptor_name":"Electronic Data Processing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001330","descriptor_name":"Electronic Data Processing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001330","descriptor_name":"Electronic Data Processing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001772","descriptor_name":"Blood Cell Count","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001772","descriptor_name":"Blood Cell Count","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D001772","descriptor_name":"Blood Cell Count","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D001772","descriptor_name":"Blood Cell Count","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D001772","descriptor_name":"Blood Cell Count","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D001772","descriptor_name":"Blood Cell Count","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D001772","descriptor_name":"Blood Cell Count","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006405","descriptor_name":"Hematology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006405","descriptor_name":"Hematology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006405","descriptor_name":"Hematology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006405","descriptor_name":"Hematology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006405","descriptor_name":"Hematology","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D006405","descriptor_name":"Hematology","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D006405","descriptor_name":"Hematology","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D006405","descriptor_name":"Hematology","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006405","descriptor_name":"Hematology","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006405","descriptor_name":"Hematology","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-025-02899-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02899-8","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02899-8","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:39939843","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39939843","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11823074","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11823074","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11823074/pdf/12911_2025_Article_2899.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:9c628daed2b448819e27c2e7c6a86dd6","is_oa":true,"landing_page_url":"https://doaj.org/article/9c628daed2b448819e27c2e7c6a86dd6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 25, Iss 1, Pp 1-17 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12911-025-02899-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02899-8","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02899-8","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4407407417.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W151377110","https://openalex.org/W1993835819","https://openalex.org/W1997780235","https://openalex.org/W2027810249","https://openalex.org/W2030197272","https://openalex.org/W2039514112","https://openalex.org/W2064186732","https://openalex.org/W2072443528","https://openalex.org/W2078878423","https://openalex.org/W2082941884","https://openalex.org/W2088658556","https://openalex.org/W2096391232","https://openalex.org/W2100437550","https://openalex.org/W2105234758","https://openalex.org/W2139047213","https://openalex.org/W2150593711","https://openalex.org/W2153591966","https://openalex.org/W2165533158","https://openalex.org/W2508944576","https://openalex.org/W2781628627","https://openalex.org/W2790490197","https://openalex.org/W2889326414","https://openalex.org/W2902652978","https://openalex.org/W2977823614","https://openalex.org/W2993894543","https://openalex.org/W3011249019","https://openalex.org/W3040712465","https://openalex.org/W3097867808","https://openalex.org/W3104164593","https://openalex.org/W3128821036","https://openalex.org/W3132121282","https://openalex.org/W3162048346","https://openalex.org/W3164643943","https://openalex.org/W3183807820","https://openalex.org/W3196204509","https://openalex.org/W3197209004","https://openalex.org/W4221045770","https://openalex.org/W4285794641","https://openalex.org/W4295957850","https://openalex.org/W4298326361","https://openalex.org/W4307911024","https://openalex.org/W4312178116","https://openalex.org/W4366462879","https://openalex.org/W4379058199","https://openalex.org/W4379768101","https://openalex.org/W4385971323"],"related_works":["https://openalex.org/W2029016205","https://openalex.org/W2100576227","https://openalex.org/W2056496840","https://openalex.org/W2355043271","https://openalex.org/W4285783911","https://openalex.org/W2351220851","https://openalex.org/W4311427401","https://openalex.org/W2278271075","https://openalex.org/W2087637582","https://openalex.org/W2984382626"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1],"routine":[2,42,264],"diagnostic":[3,253],"process":[4],"increasingly":[5],"entails":[6],"the":[7,27,69,90,145,169,179,191,207,216,235],"processing":[8,20],"of":[9,29,32,68,83,101,136,147,190,204,224,237,260],"high-volume":[10],"and":[11,58,87,107,110,139,144,165,197],"high-dimensional":[12],"data":[13,33,193,246],"that":[14,25,231],"cannot":[15],"be":[16,243],"directly":[17],"visualised.":[18],"This":[19],"may":[21,255],"provide":[22,56],"scaling":[23],"issues":[24],"limit":[26],"implementation":[28],"these":[30],"types":[31],"into":[34],"research":[35],"as":[36,38,98,112,128,130,199,201,249],"well":[37,129,200],"integrated":[39,261],"diagnostics":[40,262],"in":[41,167,178,187,252,263],"care.":[43,265],"Here,":[44],"we":[45,48,182,211],"investigate":[46],"whether":[47],"can":[49],"use":[50,223,236],"existing":[51],"dimension":[52,104,114,126,239],"reduction":[53,105,115,127,226,240],"techniques":[54,106,241],"to":[55,214,245,257],"visualisations":[57],"analyses":[59],"for":[60,125,154,176,194,219,232],"a":[61,102,185],"complete":[62],"bloodcount":[63],"(CBC)":[64],"while":[65],"maintaining":[66],"representativeness":[67],"original":[70],"data.":[71,171,180,209],"We":[72,95,117,151,229],"considered":[73],"over":[74,80],"3":[75],"million":[76],"CBC":[77],"measurements":[78],"encompassing":[79],"70":[81],"parameters":[82],"cell":[84],"frequency,":[85],"size":[86],"complexity":[88],"from":[89],"UMC":[91],"Utrecht":[92],"UPOD":[93],"database.":[94],"evaluated":[96],"PCA":[97,158],"an":[99,202],"example":[100],"linear":[103],"UMAP,":[108,163],"TriMap":[109,164],"PaCMAP":[111,166],"non-linear":[113],"techniques.":[116],"assessed":[118],"their":[119],"technical":[120],"performance":[121,189],"using":[122],"quality":[123,259],"metrics":[124],"biological":[131],"representation":[132],"by":[133],"evaluating":[134],"preservation":[135,143],"diurnal,":[137],"age":[138,196],"sex":[140],"patterns,":[141],"cluster":[142],"identification":[146],"leukemia":[148,220],"patients.":[149],"RESULTS:":[150],"found":[152],"that,":[153],"clinical":[155],"hematology":[156,233],"data,":[157,234],"performs":[159],"systematically":[160],"better":[161],"than":[162],"representing":[168],"underlying":[170],"Biological":[172],"relevance":[173],"was":[174],"retained":[175],"periodicity":[177],"However,":[181],"also":[183],"observed":[184],"decrease":[186],"predictive":[188],"reduced":[192,208],"both":[195],"sex,":[198],"overestimation":[203],"clusters":[205],"within":[206],"Finally,":[210],"were":[212],"able":[213],"identify":[215],"diverging":[217],"patterns":[218],"patients":[221],"after":[222],"dimensionality":[225],"methods.":[227],"CONCLUSIONS:":[228],"conclude":[230],"unsupervised":[238],"should":[242],"limited":[244],"visualization":[247],"applications,":[248],"implementing":[250],"them":[251],"pipelines":[254],"lead":[256],"decreased":[258]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
