{"id":"https://openalex.org/W4307502000","doi":"https://doi.org/10.3233/shti220949","title":"Temporal Phenomics \u2013 A Powerful Approach Using AI to Achieve \u201cEarlier Medicine\u201d","display_name":"Temporal Phenomics \u2013 A Powerful Approach Using AI to Achieve \u201cEarlier Medicine\u201d","publication_year":2022,"publication_date":"2022-10-26","ids":{"openalex":"https://openalex.org/W4307502000","doi":"https://doi.org/10.3233/shti220949","pmid":"https://pubmed.ncbi.nlm.nih.gov/36300410"},"language":"en","primary_location":{"id":"doi:10.3233/shti220949","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti220949","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI220949","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI220949","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112623798","display_name":"Yu\u2010Chuan Li","orcid":"https://orcid.org/0000-0001-6497-4232"},"institutions":[{"id":"https://openalex.org/I47519274","display_name":"Taipei Medical University","ror":"https://ror.org/05031qk94","country_code":"TW","type":"education","lineage":["https://openalex.org/I47519274"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Chuan (Jack) Li","raw_affiliation_strings":["Graduate Institute of Biomedical Informatics, Taipei Medical University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Biomedical Informatics, Taipei Medical University, Taiwan","institution_ids":["https://openalex.org/I47519274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112623798"],"corresponding_institution_ids":["https://openalex.org/I47519274"],"apc_list":null,"apc_paid":null,"fwci":0.3304,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60709586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"300","issue":null,"first_page":"177","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.7807000279426575,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.7807000279426575,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/phenomics","display_name":"Phenomics","score":0.9836570024490356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6370036602020264},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5366935133934021},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5184702277183533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5064829587936401},{"id":"https://openalex.org/keywords/period","display_name":"Period (music)","score":0.44229960441589355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4152669906616211},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4050915539264679},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28510481119155884},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07326406240463257}],"concepts":[{"id":"https://openalex.org/C98108635","wikidata":"https://www.wikidata.org/wiki/Q6497275","display_name":"Phenomics","level":5,"score":0.9836570024490356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6370036602020264},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5366935133934021},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5184702277183533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5064829587936401},{"id":"https://openalex.org/C2781291010","wikidata":"https://www.wikidata.org/wiki/Q178580","display_name":"Period (music)","level":2,"score":0.44229960441589355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4152669906616211},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4050915539264679},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28510481119155884},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07326406240463257},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":"D000077558","descriptor_name":"Big Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000080444","descriptor_name":"Phenomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080444","descriptor_name":"Phenomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080444","descriptor_name":"Phenomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.3233/shti220949","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti220949","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI220949","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:36300410","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36300410","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":{"id":"doi:10.3233/shti220949","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti220949","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI220949","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307502000.pdf","grobid_xml":"https://content.openalex.org/works/W4307502000.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2025516544","https://openalex.org/W2060427373","https://openalex.org/W2129781472","https://openalex.org/W2972268072","https://openalex.org/W3037551964","https://openalex.org/W3207043172","https://openalex.org/W3211038758","https://openalex.org/W6679238976"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2961085424","https://openalex.org/W2808989540","https://openalex.org/W2617449561","https://openalex.org/W2397053934","https://openalex.org/W4306674287","https://openalex.org/W4380686159","https://openalex.org/W1039292361","https://openalex.org/W3014300295","https://openalex.org/W4313033600"],"abstract_inverted_index":{"The":[0,60],"resurgence":[1],"of":[2,10,19,32,38,79,84],"machine":[3],"learning":[4],"AI":[5],"has":[6,40],"triggered":[7],"the":[8,43,77,82],"importance":[9],"collecting":[11],"\"personal":[12],"big":[13],"data\"":[14],"over":[15,34],"a":[16,35,51,63],"long":[17],"period":[18,37],"time":[20,39,85],"from":[21,28],"wearable":[22],"devices":[23],"and":[24,57,72,81],"EHRs.":[25],"Collecting":[26],"data":[27],"this":[29],"large":[30],"number":[31,78],"variables":[33,80],"significant":[36],"further":[41],"induced":[42],"study":[44],"on":[45,76],"\"Temporal":[46,68],"Phenomics\",":[47],"which":[48],"can":[49],"be":[50],"powerful":[52],"approach":[53],"to":[54,65],"achieve":[55],"pre-emptive":[56],"\"earlier":[58],"medicine\".":[59],"paper":[61],"presents":[62],"methodology":[64],"make":[66],"studying":[67],"Phenomics\"":[69],"more":[70],"feasible":[71],"convenient":[73],"without":[74],"limitations":[75],"length":[83],"periods.":[86]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
