{"id":"https://openalex.org/W1994893902","doi":"https://doi.org/10.1145/1882992.1883066","title":"Mining personalized medicine algorithms with surrogate algorithm tags","display_name":"Mining personalized medicine algorithms with surrogate algorithm tags","publication_year":2010,"publication_date":"2010-11-11","ids":{"openalex":"https://openalex.org/W1994893902","doi":"https://doi.org/10.1145/1882992.1883066","mag":"1994893902"},"language":"en","primary_location":{"id":"doi:10.1145/1882992.1883066","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1882992.1883066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Health Informatics Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5037575522","display_name":"Chih\u2010Lin Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chih-Lin Chi","raw_affiliation_strings":["Harvard Medical School, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071650598","display_name":"Peter Kos","orcid":null},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter J. Kos","raw_affiliation_strings":["University of Wisconsin-Milwaukee, Milwaukee, WI, USA","University of Wisconsin - Milwaukee, Milwaukee, WI, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Milwaukee, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I43579087"]},{"raw_affiliation_string":"University of Wisconsin - Milwaukee, Milwaukee, WI, USA#TAB#","institution_ids":["https://openalex.org/I43579087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029516911","display_name":"Vincent A. Fusaro","orcid":"https://orcid.org/0000-0002-2238-4434"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincent A. Fusaro","raw_affiliation_strings":["Harvard Medical School, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108076252","display_name":"Rimma Pivovarov","orcid":null},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rimma Pivovarov","raw_affiliation_strings":["Harvard Medical School, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001511264","display_name":"Prasad Patil","orcid":"https://orcid.org/0009-0007-6092-2268"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prasad Patil","raw_affiliation_strings":["Harvard Medical School, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028127888","display_name":"Peter J. Tonellato","orcid":"https://orcid.org/0000-0003-0658-1734"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter J. Tonellato","raw_affiliation_strings":["Harvard Medical School & University of Wisconsin-Milwaukee, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Harvard Medical School & University of Wisconsin-Milwaukee, Boston, MA, USA","institution_ids":["https://openalex.org/I43579087","https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5037575522"],"corresponding_institution_ids":["https://openalex.org/I136199984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08602233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"474","last_page":"478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.7626416683197021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7181915640830994},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5542998909950256},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5443141460418701},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5122005343437195},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45168763399124146},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.43274593353271484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4281010031700134},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4195534288883209},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4132121503353119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3229939937591553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7626416683197021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7181915640830994},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5542998909950256},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5443141460418701},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5122005343437195},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45168763399124146},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43274593353271484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4281010031700134},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4195534288883209},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4132121503353119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3229939937591553},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1882992.1883066","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1882992.1883066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Health Informatics Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1515782956","https://openalex.org/W1608412409","https://openalex.org/W1988911507","https://openalex.org/W1998269707","https://openalex.org/W2000791876","https://openalex.org/W2032289591","https://openalex.org/W2032453708","https://openalex.org/W2034029529","https://openalex.org/W2061430691","https://openalex.org/W2099356722","https://openalex.org/W2101980933","https://openalex.org/W2129859749","https://openalex.org/W2153741671","https://openalex.org/W2157065952","https://openalex.org/W2162823697","https://openalex.org/W2172191903","https://openalex.org/W2271295020","https://openalex.org/W2302433407","https://openalex.org/W2412136890"],"related_works":["https://openalex.org/W4384470695","https://openalex.org/W3134840015","https://openalex.org/W4366979180","https://openalex.org/W4224262160","https://openalex.org/W4205206396","https://openalex.org/W3213683101","https://openalex.org/W3035095237","https://openalex.org/W4200509467","https://openalex.org/W4385770464","https://openalex.org/W2965693718"],"abstract_inverted_index":{"This":[0],"paper":[1],"demonstrates":[2],"a":[3,41],"method":[4],"to":[5,9,45,92,105],"identify":[6],"keyword":[7,52],"strategies":[8],"facilitate":[10],"the":[11,23,59,87,98,107],"search":[12],"for":[13],"articles":[14,57],"containing":[15,58],"decision":[16,31],"support":[17],"and":[18,100,110],"clinical":[19],"algorithms":[20,60],"represented":[21],"in":[22,78],"text":[24,42],"by":[25,89],"complex":[26],"unsearchable":[27],"items":[28],"such":[29],"as":[30],"tree":[32],"figures,":[33],"pseudo":[34],"code,":[35],"or":[36,95],"mathematical":[37],"formulae.":[38],"We":[39],"use":[40],"mining":[43],"approach":[44],"generate":[46],"'Surrogate":[47],"Algorithm":[48],"Tags'":[49],"(SRATs),":[50],"i.e.,":[51],"combinations":[53],"highly":[54],"associated":[55],"with":[56,80],"of":[61,75,97],"interest.":[62],"In":[63],"this":[64],"project,":[65],"we":[66],"obtain":[67,111],"an":[68],"initial":[69],"SRAT":[70],"set":[71],"from":[72],"analyzing":[73],"abstracts":[74],"publications":[76],"available":[77],"PubMed":[79],"known":[81],"warfarin":[82],"dosing":[83],"algorithms,":[84],"gradually":[85],"refine":[86],"SRATs":[88],"iterative":[90],"optimization":[91,108],"improve":[93],"precision":[94],"recall":[96],"search,":[99],"then":[101],"apply":[102],"cut-off":[103],"thresholds":[104],"terminate":[106],"process":[109],"optimal":[112],"SRATs.":[113]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}