{"id":"https://openalex.org/W2034448355","doi":"https://doi.org/10.1109/jbhi.2013.2274733","title":"Data Mining in Bone Marrow Transplant Records to Identify Patients With High Odds of Survival","display_name":"Data Mining in Bone Marrow Transplant Records to Identify Patients With High Odds of Survival","publication_year":2013,"publication_date":"2013-07-24","ids":{"openalex":"https://openalex.org/W2034448355","doi":"https://doi.org/10.1109/jbhi.2013.2274733","mag":"2034448355","pmid":"https://pubmed.ncbi.nlm.nih.gov/24403400"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2013.2274733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2013.2274733","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011257199","display_name":"Babak Taati","orcid":"https://orcid.org/0000-0001-9763-4293"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I2799838188","display_name":"Toronto Rehabilitation Institute","ror":"https://ror.org/00mxe0976","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441","https://openalex.org/I2799838188"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Babak Taati","raw_affiliation_strings":["Department of Computer Science, University of Toronto, Toronto, ON, Canada","Toronto Rehabilitation Institute -University Health Network, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Toronto Rehabilitation Institute -University Health Network, Toronto, ON, Canada","institution_ids":["https://openalex.org/I2799838188"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112347601","display_name":"Jasper Snoek","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jasper Snoek","raw_affiliation_strings":["Intelligent Assistive Technology and Systems Lab and the Department of Computer Science, University of Toronto, Toronto, ON, Canada","DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF TORONTO, TORONTO, ON, CANADA"],"affiliations":[{"raw_affiliation_string":"Intelligent Assistive Technology and Systems Lab and the Department of Computer Science, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF TORONTO, TORONTO, ON, CANADA","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024163805","display_name":"Dionne M. Aleman","orcid":"https://orcid.org/0000-0001-8326-8544"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dionne Aleman","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada","Dept. of Mech. & Ind. Eng., Univ. of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Dept. of Mech. & Ind. Eng., Univ. of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086980259","display_name":"Ardeshir Ghavamzadeh","orcid":"https://orcid.org/0000-0001-5587-0191"},"institutions":[{"id":"https://openalex.org/I4210128240","display_name":"Stem Cell Technology Research Center","ror":"https://ror.org/034akh239","country_code":"IR","type":"facility","lineage":["https://openalex.org/I194604659","https://openalex.org/I4210128240"]},{"id":"https://openalex.org/I70640408","display_name":"Tehran University of Medical Sciences","ror":"https://ror.org/01c4pz451","country_code":"IR","type":"education","lineage":["https://openalex.org/I70640408"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ardeshir Ghavamzadeh","raw_affiliation_strings":["Tehran University of Medical Sciences, Tehran, Iran","Hematology-Oncology & Stem Cell Transplantation Res. Center (HORSCT), Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Tehran University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I70640408"]},{"raw_affiliation_string":"Hematology-Oncology & Stem Cell Transplantation Res. Center (HORSCT), Tehran, Iran","institution_ids":["https://openalex.org/I4210128240"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011257199"],"corresponding_institution_ids":["https://openalex.org/I185261750","https://openalex.org/I2799838188"],"apc_list":null,"apc_paid":null,"fwci":4.2899,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93755523,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"18","issue":"1","first_page":"21","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.973800003528595,"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/medicine","display_name":"Medicine","score":0.6402596235275269},{"id":"https://openalex.org/keywords/odds","display_name":"Odds","score":0.6252913475036621},{"id":"https://openalex.org/keywords/odds-ratio","display_name":"Odds ratio","score":0.6189867258071899},{"id":"https://openalex.org/keywords/prioritization","display_name":"Prioritization","score":0.5396037697792053},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.535731315612793},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4952000677585602},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4897441864013672},{"id":"https://openalex.org/keywords/bone-marrow-transplant","display_name":"Bone marrow transplant","score":0.4479510188102722},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3942793011665344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3873431086540222},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.37515032291412354},{"id":"https://openalex.org/keywords/bone-marrow","display_name":"Bone marrow","score":0.3519997000694275},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.32151949405670166},{"id":"https://openalex.org/keywords/bone-marrow-transplantation","display_name":"Bone marrow transplantation","score":0.2534167170524597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20180585980415344},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.16497784852981567},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.12823784351348877}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6402596235275269},{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.6252913475036621},{"id":"https://openalex.org/C156957248","wikidata":"https://www.wikidata.org/wiki/Q1862216","display_name":"Odds ratio","level":2,"score":0.6189867258071899},{"id":"https://openalex.org/C2777615720","wikidata":"https://www.wikidata.org/wiki/Q11888847","display_name":"Prioritization","level":2,"score":0.5396037697792053},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.535731315612793},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4952000677585602},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4897441864013672},{"id":"https://openalex.org/C3019548648","wikidata":"https://www.wikidata.org/wiki/Q1128050","display_name":"Bone marrow transplant","level":4,"score":0.4479510188102722},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3942793011665344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3873431086540222},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.37515032291412354},{"id":"https://openalex.org/C2780007613","wikidata":"https://www.wikidata.org/wiki/Q546523","display_name":"Bone marrow","level":2,"score":0.3519997000694275},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.32151949405670166},{"id":"https://openalex.org/C2994180119","wikidata":"https://www.wikidata.org/wiki/Q1128050","display_name":"Bone marrow transplantation","level":3,"score":0.2534167170524597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20180585980415344},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.16497784852981567},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.12823784351348877},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","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":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","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":"D006085","descriptor_name":"Graft Survival","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006085","descriptor_name":"Graft Survival","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006085","descriptor_name":"Graft Survival","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":"D008490","descriptor_name":"Medical Informatics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008490","descriptor_name":"Medical Informatics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008490","descriptor_name":"Medical Informatics","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016026","descriptor_name":"Bone Marrow Transplantation","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D016026","descriptor_name":"Bone Marrow Transplantation","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D016026","descriptor_name":"Bone Marrow Transplantation","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D016026","descriptor_name":"Bone Marrow Transplantation","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D016026","descriptor_name":"Bone Marrow Transplantation","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D016026","descriptor_name":"Bone Marrow Transplantation","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","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":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2013.2274733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2013.2274733","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:24403400","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24403400","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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.44999998807907104,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322670","display_name":"Tehran University of Medical Sciences and Health Services","ror":"https://ror.org/01c4pz451"},{"id":"https://openalex.org/F4320322675","display_name":"Mitacs","ror":"https://ror.org/00cjrc276"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2058625230","https://openalex.org/W2061460268","https://openalex.org/W2103633133","https://openalex.org/W2106411961","https://openalex.org/W2119058682","https://openalex.org/W2131923385","https://openalex.org/W2135744928","https://openalex.org/W2145962650","https://openalex.org/W2164452299","https://openalex.org/W2166064672","https://openalex.org/W2911964244","https://openalex.org/W4312960235","https://openalex.org/W6665252338","https://openalex.org/W6676047094","https://openalex.org/W6676179485"],"related_works":["https://openalex.org/W2156190299","https://openalex.org/W2037611947","https://openalex.org/W2106414694","https://openalex.org/W2006376692","https://openalex.org/W2011313051","https://openalex.org/W4294578992","https://openalex.org/W3139085109","https://openalex.org/W4361242331","https://openalex.org/W2142607390","https://openalex.org/W2126610786"],"abstract_inverted_index":{"Patients":[0],"undergoing":[1,38],"a":[2,149],"bone":[3],"marrow":[4],"stem":[5],"cell":[6],"transplant":[7,33],"(BMT)":[8],"face":[9],"various":[10,67],"risk":[11],"factors.":[12],"Analyzing":[13],"data":[14],"from":[15,35],"past":[16],"transplants":[17],"could":[18],"enhance":[19],"the":[20,23,48,64,73,83,95,120,123,132],"understanding":[21],"of":[22,50,66,98,126,134,169],"factors":[24],"influencing":[25],"success.":[26],"Records":[27],"up":[28],"to":[29,62,102,151],"120":[30],"measurements":[31],"per":[32],"procedure":[34],"1751":[36],"patients":[37,121,141],"BMT":[39],"were":[40,79,100],"collected":[41],"(Shariati":[42],"Hospital).":[43],"Collaborative":[44],"filtering":[45],"techniques":[46],"allowed":[47],"processing":[49],"highly":[51],"sparse":[52],"records":[53],"with":[54,105,122,166],"22.3%":[55],"missing":[56],"values.":[57],"Ten-fold":[58],"cross-validation":[59],"was":[60],"used":[61],"evaluate":[63],"performance":[65],"classification":[68],"algorithms":[69],"trained":[70],"on":[71],"predicting":[72,82],"survival":[74,84,127,153],"status.":[75],"Modest":[76],"accuracy":[77],"levels":[78],"obtained":[80],"in":[81,131,137,158,164],"status":[85],"(AUC":[86],"=":[87],"0.69).":[88],"More":[89],"importantly,":[90],"however,":[91],"operations":[92],"that":[93],"had":[94],"highest":[96,124],"chances":[97,125],"success":[99],"shown":[101],"be":[103],"identifiable":[104],"high":[106],"accuracy,":[107],"e.g.,":[108],"92%":[109],"or":[110,115],"97%":[111],"when":[112],"identifying":[113],"74":[114],"31":[116],"recipients,":[117],"respectively.":[118],"Identifying":[119],"has":[128,155],"direct":[129],"application":[130],"prioritization":[133],"resources":[135],"and":[136,163],"donor":[138],"matching.":[139],"For":[140],"where":[142],"high-confidence":[143],"prediction":[144],"is":[145],"not":[146],"achieved,":[147],"assigning":[148],"probability":[150],"their":[152],"odds":[154],"potential":[156],"applications":[157],"probabilistic":[159],"decision":[160],"support":[161],"systems":[162],"combination":[165],"other":[167],"sources":[168],"information.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}