{"id":"https://openalex.org/W4389421417","doi":"https://doi.org/10.48550/arxiv.2312.02441","title":"MedDM:LLM-executable clinical guidance tree for clinical decision-making","display_name":"MedDM:LLM-executable clinical guidance tree for clinical decision-making","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4389421417","doi":"https://doi.org/10.48550/arxiv.2312.02441"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2312.02441","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.02441","pdf_url":"https://arxiv.org/pdf/2312.02441","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2312.02441","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100406162","display_name":"Binbin Li","orcid":"https://orcid.org/0000-0002-1008-6704"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Binbin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114106468","display_name":"Tianxin Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Tianxin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018955823","display_name":"Xiaoming Shi","orcid":"https://orcid.org/0000-0002-7071-571X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Xiaoming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113229320","display_name":"Jie Zhai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhai, Jie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005820786","display_name":"Tong Ruan","orcid":"https://orcid.org/0000-0002-3546-8338"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruan, Tong","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100406162"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9929999709129333,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9929999709129333,"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/T14400","display_name":"Medical Coding and Health Information","score":0.9373999834060669,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9233999848365784,"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/executable","display_name":"Executable","score":0.814035177230835},{"id":"https://openalex.org/keywords/flowchart","display_name":"Flowchart","score":0.6420358419418335},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.6187241673469543},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.587354302406311},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5840990543365479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5521246790885925},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5447704195976257},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.49910926818847656},{"id":"https://openalex.org/keywords/medical-decision-making","display_name":"Medical decision making","score":0.4187872111797333},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.41253894567489624},{"id":"https://openalex.org/keywords/medical-education","display_name":"Medical education","score":0.3294003903865814},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3230454921722412},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3070385456085205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2995908558368683},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.21766555309295654},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13046729564666748},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.10281801223754883}],"concepts":[{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.814035177230835},{"id":"https://openalex.org/C72041958","wikidata":"https://www.wikidata.org/wiki/Q185092","display_name":"Flowchart","level":2,"score":0.6420358419418335},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.6187241673469543},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.587354302406311},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5840990543365479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5521246790885925},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5447704195976257},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.49910926818847656},{"id":"https://openalex.org/C2983241795","wikidata":"https://www.wikidata.org/wiki/Q6806500","display_name":"Medical decision making","level":2,"score":0.4187872111797333},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.41253894567489624},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.3294003903865814},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3230454921722412},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3070385456085205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2995908558368683},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.21766555309295654},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13046729564666748},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.10281801223754883},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2312.02441","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.02441","pdf_url":"https://arxiv.org/pdf/2312.02441","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2312.02441","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2312.02441","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2312.02441","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.02441","pdf_url":"https://arxiv.org/pdf/2312.02441","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2115906794","https://openalex.org/W2109215547","https://openalex.org/W1992202691","https://openalex.org/W2323840003","https://openalex.org/W2188108885","https://openalex.org/W2131878319","https://openalex.org/W2381593765","https://openalex.org/W2350278424","https://openalex.org/W2113221373","https://openalex.org/W1507079426"],"abstract_inverted_index":{"It":[0],"is":[1,40],"becoming":[2],"increasingly":[3],"emphasis":[4],"on":[5,143],"the":[6,16],"importance":[7],"of":[8],"LLM":[9],"participating":[10],"in":[11,84],"clinical":[12,43,63,85],"diagnosis":[13],"decision-making.":[14],"However,":[15],"low":[17],"specialization":[18],"refers":[19],"to":[20,92],"that":[21,48],"current":[22],"medical":[23,29,36,77,96,121],"LLMs":[24],"can":[25,49,67],"not":[26],"provide":[27],"specific":[28],"advice,":[30],"which":[31,66,117],"are":[32],"more":[33],"like":[34],"a":[35,110,139,147],"Q\\&amp;A.":[37],"And":[38],"there":[39],"no":[41],"suitable":[42],"guidance":[44,64],"tree":[45],"data":[46],"set":[47],"be":[50,68],"used":[51,70],"directly":[52,69],"with":[53,113],"LLM.":[54],"To":[55],"address":[56],"this":[57],"issue,":[58],"we":[59,137],"first":[60],"propose":[61,89,138],"LLM-executavle":[62],"tree(CGT),":[65],"by":[71,99],"large":[72],"language":[73],"models,":[74],"and":[75,102,123,133,146],"construct":[76],"diagnostic":[78,106],"decision-making":[79],"dataset":[80],"(MedDM),":[81],"from":[82,95,119],"flowcharts":[83,94],"practice":[86],"guidelines.":[87],"We":[88],"an":[90],"approach":[91],"screen":[93],"literature,":[97],"followed":[98],"their":[100],"identification":[101],"conversion":[103],"into":[104],"standardized":[105],"decision":[107,115],"trees.":[108],"Constructed":[109],"knowledge":[111],"base":[112],"1202":[114],"trees,":[116],"came":[118],"5000":[120],"literature":[122],"covered":[124],"12":[125],"hospital":[126],"departments,":[127],"including":[128],"internal":[129],"medicine,":[130],"surgery,":[131],"psychiatry,":[132],"over":[134],"500":[135],"diseases.Moreover,":[136],"method":[140],"for":[141],"reasoning":[142],"LLM-executable":[144],"CGT":[145],"Patient-LLM":[148],"multi-turn":[149],"dialogue":[150],"framework.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
