{"id":"https://openalex.org/W2783129471","doi":"https://doi.org/10.1109/coase.2017.8256106","title":"Genetic algorithm based transition probabilities estimation","display_name":"Genetic algorithm based transition probabilities estimation","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2783129471","doi":"https://doi.org/10.1109/coase.2017.8256106","mag":"2783129471"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2017.8256106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2017.8256106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","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/A5036881843","display_name":"Xiuxian Wang","orcid":"https://orcid.org/0000-0001-6641-022X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiuxian Wang","raw_affiliation_strings":["Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072380471","display_name":"Na Geng","orcid":"https://orcid.org/0000-0001-5389-6072"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Geng","raw_affiliation_strings":["Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011681810","display_name":"Zhibin Jiang","orcid":"https://orcid.org/0000-0002-9241-0212"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Jiang","raw_affiliation_strings":["Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101782459","display_name":"Liping Zhou","orcid":"https://orcid.org/0009-0000-1725-8671"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Zhou","raw_affiliation_strings":["Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036881843"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26815213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"213","last_page":"218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10373","display_name":"Renal Transplantation Outcomes and Treatments","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2747","display_name":"Transplantation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10373","display_name":"Renal Transplantation Outcomes and Treatments","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2747","display_name":"Transplantation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10999","display_name":"Organ Transplantation Techniques and Outcomes","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11189","display_name":"Transplantation: Methods and Outcomes","score":0.9318000078201294,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/genetic-algorithm","display_name":"Genetic algorithm","score":0.6234059929847717},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5868010520935059},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5626724362373352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5504199862480164},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4798383414745331},{"id":"https://openalex.org/keywords/cost-effectiveness-analysis","display_name":"Cost-effectiveness analysis","score":0.45676493644714355},{"id":"https://openalex.org/keywords/transplantation","display_name":"Transplantation","score":0.4487362504005432},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.442790150642395},{"id":"https://openalex.org/keywords/tacrolimus","display_name":"Tacrolimus","score":0.4375390410423279},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4198516607284546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4002435803413391},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4001263678073883},{"id":"https://openalex.org/keywords/cost-effectiveness","display_name":"Cost effectiveness","score":0.35571300983428955},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3106674551963806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25260400772094727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2448604702949524},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2178651988506317},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.1749303638935089},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10997000336647034},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09484326839447021}],"concepts":[{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6234059929847717},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5868010520935059},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5626724362373352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5504199862480164},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4798383414745331},{"id":"https://openalex.org/C515549039","wikidata":"https://www.wikidata.org/wiki/Q1754768","display_name":"Cost-effectiveness analysis","level":3,"score":0.45676493644714355},{"id":"https://openalex.org/C2911091166","wikidata":"https://www.wikidata.org/wiki/Q106419912","display_name":"Transplantation","level":2,"score":0.4487362504005432},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.442790150642395},{"id":"https://openalex.org/C2909675724","wikidata":"https://www.wikidata.org/wiki/Q411648","display_name":"Tacrolimus","level":3,"score":0.4375390410423279},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4198516607284546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4002435803413391},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4001263678073883},{"id":"https://openalex.org/C3019080777","wikidata":"https://www.wikidata.org/wiki/Q1754768","display_name":"Cost effectiveness","level":2,"score":0.35571300983428955},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3106674551963806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25260400772094727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2448604702949524},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2178651988506317},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.1749303638935089},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10997000336647034},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09484326839447021},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2017.8256106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2017.8256106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5199999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1982898339","https://openalex.org/W2025000283","https://openalex.org/W2036515416","https://openalex.org/W2044600432","https://openalex.org/W2059496327","https://openalex.org/W2102472721","https://openalex.org/W2129238157","https://openalex.org/W2129696609","https://openalex.org/W2207724612","https://openalex.org/W2367071574","https://openalex.org/W2372710436","https://openalex.org/W2408410815","https://openalex.org/W2793717112","https://openalex.org/W3143265745","https://openalex.org/W6713566388"],"related_works":["https://openalex.org/W2001644930","https://openalex.org/W2598700445","https://openalex.org/W2057711323","https://openalex.org/W1967727682","https://openalex.org/W4394716816","https://openalex.org/W4388942467","https://openalex.org/W3006266640","https://openalex.org/W2107924944","https://openalex.org/W2572359438","https://openalex.org/W4210378545"],"abstract_inverted_index":{"Renal":[0],"transplantation":[1],"is":[2,27,33,52,79,87,132],"the":[3,22,100,109,116,119],"best":[4],"treatment":[5],"for":[6,46,134],"end-stage":[7],"renal":[8],"disease.":[9],"Transplanted":[10],"patients":[11],"need":[12],"to":[13,17,35,43,61],"take":[14],"immunosuppressant":[15,25,41],"drugs":[16,26,42],"keep":[18],"long-term":[19],"survival.":[20],"However,":[21],"cost":[23,135],"of":[24,40,65,95,102,118],"high":[28],"in":[29,56,81,89,108,142],"China,":[30],"so":[31],"it":[32],"necessary":[34],"conduct":[36],"a":[37,53,71,90],"cost-effectiveness":[38,57,144],"analysis":[39,137,145],"provide":[44],"guidance":[45],"medical":[47],"decision.":[48],"Transition":[49],"probabilities":[50,67],"estimation":[51],"key":[54],"step":[55],"analysis.":[58],"In":[59],"order":[60],"obtain":[62],"accurate":[63],"estimations":[64],"transition":[66],"from":[68],"small":[69],"sample,":[70],"Markov":[72,125],"model":[73,126],"and":[74,104,127,138],"genetic":[75,128],"algorithm":[76,129],"based":[77,130],"method":[78,86,131],"proposed":[80],"this":[82,85],"paper.":[83],"Then,":[84],"applied":[88],"case":[91,96,120],"study.":[92],"The":[93],"results":[94,117],"study":[97,121],"show":[98,123],"that":[99,124],"effectiveness":[101,136],"cyclosporine":[103],"tacrolimus":[105],"are":[106],"comparable":[107],"following":[110],"five":[111],"years":[112],"after":[113],"transplantation.":[114],"Meanwhile,":[115],"also":[122],"effective":[133],"can":[139],"be":[140],"used":[141],"other":[143],"studies.":[146]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
