{"id":"https://openalex.org/W2400874299","doi":"https://doi.org/10.3233/978-1-60750-928-8-543","title":"A New Prognosis Factor Analysis Based on Nonhomogeneous Markov Description","display_name":"A New Prognosis Factor Analysis Based on Nonhomogeneous Markov Description","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W2400874299","doi":"https://doi.org/10.3233/978-1-60750-928-8-543","mag":"2400874299","pmid":"https://pubmed.ncbi.nlm.nih.gov/11604799"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-60750-928-8-543","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-928-8-543","pdf_url":null,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021999113","display_name":"Takeo Shibata","orcid":"https://orcid.org/0000-0002-5569-9301"},"institutions":[{"id":"https://openalex.org/I125602781","display_name":"Tokyo Medical and Dental University","ror":"https://ror.org/051k3eh31","country_code":"JP","type":"education","lineage":["https://openalex.org/I125602781"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shibata Takeo","raw_affiliation_strings":["Department of Information Medicine, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, 113-8510, Japan. shicom@mri.tmd.ac.jp"],"affiliations":[{"raw_affiliation_string":"Department of Information Medicine, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, 113-8510, Japan. shicom@mri.tmd.ac.jp","institution_ids":["https://openalex.org/I125602781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101700468","display_name":"Hiroshi Tanaka","orcid":"https://orcid.org/0000-0002-8003-7326"},"institutions":[{"id":"https://openalex.org/I125602781","display_name":"Tokyo Medical and Dental University","ror":"https://ror.org/051k3eh31","country_code":"JP","type":"education","lineage":["https://openalex.org/I125602781"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tanaka Hiroshi","raw_affiliation_strings":["Tokyo Medical and Dental\u00a0University"],"affiliations":[{"raw_affiliation_string":"Tokyo Medical and Dental\u00a0University","institution_ids":["https://openalex.org/I125602781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080050579","display_name":"Yoshihiro Tsujimoto","orcid":"https://orcid.org/0000-0003-2140-3362"},"institutions":[{"id":"https://openalex.org/I125602781","display_name":"Tokyo Medical and Dental University","ror":"https://ror.org/051k3eh31","country_code":"JP","type":"education","lineage":["https://openalex.org/I125602781"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsujimoto Yoshihiro","raw_affiliation_strings":["Tokyo Medical and Dental\u00a0University"],"affiliations":[{"raw_affiliation_string":"Tokyo Medical and Dental\u00a0University","institution_ids":["https://openalex.org/I125602781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110003854","display_name":"Kimio Yoshimura","orcid":null},"institutions":[{"id":"https://openalex.org/I125602781","display_name":"Tokyo Medical and Dental University","ror":"https://ror.org/051k3eh31","country_code":"JP","type":"education","lineage":["https://openalex.org/I125602781"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshimura Kimio","raw_affiliation_strings":["Tokyo Medical and Dental\u00a0University"],"affiliations":[{"raw_affiliation_string":"Tokyo Medical and Dental\u00a0University","institution_ids":["https://openalex.org/I125602781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016171700","display_name":"Takashi Fukutomi","orcid":null},"institutions":[{"id":"https://openalex.org/I125602781","display_name":"Tokyo Medical and Dental University","ror":"https://ror.org/051k3eh31","country_code":"JP","type":"education","lineage":["https://openalex.org/I125602781"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fukutomi Takashi","raw_affiliation_strings":["Tokyo Medical and Dental\u00a0University"],"affiliations":[{"raw_affiliation_string":"Tokyo Medical and Dental\u00a0University","institution_ids":["https://openalex.org/I125602781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073918335","display_name":"Takeshi Nanasawa","orcid":null},"institutions":[{"id":"https://openalex.org/I125602781","display_name":"Tokyo Medical and Dental University","ror":"https://ror.org/051k3eh31","country_code":"JP","type":"education","lineage":["https://openalex.org/I125602781"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nanasawa Takeshi","raw_affiliation_strings":["Tokyo Medical and Dental\u00a0University"],"affiliations":[{"raw_affiliation_string":"Tokyo Medical and Dental\u00a0University","institution_ids":["https://openalex.org/I125602781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108268006","display_name":"Naohito Yamaguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I125602781","display_name":"Tokyo Medical and Dental University","ror":"https://ror.org/051k3eh31","country_code":"JP","type":"education","lineage":["https://openalex.org/I125602781"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yamaguchi Naohito","raw_affiliation_strings":["Tokyo Medical and Dental\u00a0University"],"affiliations":[{"raw_affiliation_string":"Tokyo Medical and Dental\u00a0University","institution_ids":["https://openalex.org/I125602781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5021999113"],"corresponding_institution_ids":["https://openalex.org/I125602781"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13612565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"84","issue":"Pt 1","first_page":"543","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.28999999165534973,"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":0.28999999165534973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.6815111041069031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6296892166137695},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5390417575836182},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.42313769459724426},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4144194722175598},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25539353489875793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1920567750930786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1865917444229126},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10508319735527039}],"concepts":[{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.6815111041069031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6296892166137695},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5390417575836182},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.42313769459724426},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4144194722175598},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25539353489875793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1920567750930786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1865917444229126},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10508319735527039}],"mesh":[{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","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":"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":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D009367","descriptor_name":"Neoplasm Staging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009367","descriptor_name":"Neoplasm Staging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009367","descriptor_name":"Neoplasm Staging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012008","descriptor_name":"Recurrence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012008","descriptor_name":"Recurrence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012008","descriptor_name":"Recurrence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-60750-928-8-543","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-928-8-543","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:11604799","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/11604799","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":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2084326697","https://openalex.org/W2027903142","https://openalex.org/W2354322608","https://openalex.org/W2804608325","https://openalex.org/W2077211377","https://openalex.org/W2413828414","https://openalex.org/W2186675474"],"abstract_inverted_index":{"To":[0],"evaluate":[1],"prognosis":[2,41,116,154,173],"factors,":[3],"Cox's":[4],"proportional":[5],"hazard":[6],"model":[7,32,71],"has":[8],"been":[9],"used.":[10],"But":[11],"it":[12,183],"was":[13,19,47,54,72,91,184],"found":[14,185],"that":[15],"the":[16,40,50,76,84,96,104,114,126,132,153,157],"analytical":[17],"ability":[18],"not":[20],"sufficient.":[21],"So":[22],"we":[23],"propose":[24],"a":[25,67,80,101,108,119,166],"new":[26,172],"evaluation":[27],"method":[28],"combining":[29],"Markov":[30,69],"chain":[31,70],"and":[33,107,147],"multiple":[34,85,167],"logistic":[35,168],"regression":[36,169],"analysis":[37,175],"to":[38,74,129,186],"estimate":[39],"factors.":[42],"Stage":[43,161],"II":[44,162],"breast":[45,81,163],"cancer":[46,164],"chosen":[48],"as":[49,113,152],"subject.":[51],"The":[52],"data":[53,56],"retrospective":[55],"gathered":[57],"in":[58,93,160,190],"National":[59],"Cancer":[60],"Center":[61],"Central":[62],"Hospital.":[63],"As":[64,135],"first":[65,105],"step,":[66,137],"simple":[68],"constructed":[73],"describe":[75],"state":[77,89],"transition":[78,90],"of":[79,87,142],"cancer.":[82],"Then":[83],"property":[86],"each":[88],"investigated":[92],"detail.":[94],"And":[95,125],"patients":[97],"who":[98],"had":[99],"gotten":[100],"recurrence":[102],"for":[103,156],"two":[106],"half":[109],"years":[110],"were":[111,150],"discriminated":[112],"poor":[115],"group":[117],"by":[118,165],"nonparametric":[120],"test":[121],"(p":[122],"<":[123],"0.05).":[124],"result":[127],"proved":[128],"corresponding":[130],"with":[131],"clinical":[133],"experience.":[134],"second":[136],"three":[138],"factors":[139,155],"(n":[140],"classification":[141],"pathological":[143],"diagnosis,":[144],"ductal":[145],"spread,":[146],"estrogen":[148],"receptor)":[149],"selected":[151],"early":[158],"death":[159],"analysis.":[170],"This":[171],"factor":[174],"could":[176],"find":[177],"out":[178],"some":[179],"scientific":[180],"evidences.":[181],"Especially,":[182],"be":[187],"remarkable":[188],"efficient":[189],"proving":[191],"clinically":[192],"experienced":[193],"observation.":[194]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}