{"id":"https://openalex.org/W4313598915","doi":"https://doi.org/10.1371/journal.pcbi.1010830","title":"SurvivalPath:A R package for conducting personalized survival path mapping based on time-series survival data","display_name":"SurvivalPath:A R package for conducting personalized survival path mapping based on time-series survival data","publication_year":2023,"publication_date":"2023-01-06","ids":{"openalex":"https://openalex.org/W4313598915","doi":"https://doi.org/10.1371/journal.pcbi.1010830","pmid":"https://pubmed.ncbi.nlm.nih.gov/36608157"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1010830","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010830","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1371/journal.pcbi.1010830","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008020180","display_name":"Lujun Shen","orcid":"https://orcid.org/0000-0002-7936-0206"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210146711","display_name":"Sun Yat-sen University Cancer Center","ror":"https://ror.org/0400g8r85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lujun Shen","raw_affiliation_strings":["Department of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China","State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China","Department of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People\u2019s Republic of China","State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"Department of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011909410","display_name":"Jinqing Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210146711","display_name":"Sun Yat-sen University Cancer Center","ror":"https://ror.org/0400g8r85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinqing Mo","raw_affiliation_strings":["Zhongshan School of Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China","Zhongshan School of Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhongshan School of Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I4210146711","https://openalex.org/I157773358"]},{"raw_affiliation_string":"Zhongshan School of Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021997436","display_name":"Changsheng Yang","orcid":"https://orcid.org/0000-0003-3824-1128"},"institutions":[{"id":"https://openalex.org/I4210088873","display_name":"Third Affiliated Hospital of Southern Medical University","ror":"https://ror.org/0050r1b65","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210088873"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changsheng Yang","raw_affiliation_strings":["Department of Spine Surgery, Third Affiliated Hospital of Southern Medical University, Guangzhou, People's Republic of China","Department of Spine Surgery, Third Affiliated Hospital of Southern Medical University, Guangzhou, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Spine Surgery, Third Affiliated Hospital of Southern Medical University, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I4210088873"]},{"raw_affiliation_string":"Department of Spine Surgery, Third Affiliated Hospital of Southern Medical University, Guangzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I4210088873"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101528371","display_name":"Yiquan Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210146711","display_name":"Sun Yat-sen University Cancer Center","ror":"https://ror.org/0400g8r85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiquan Jiang","raw_affiliation_strings":["Department of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China","State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China","Department of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People\u2019s Republic of China","State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"Department of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109498486","display_name":"Liang\u2010Ru Ke","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210146711","display_name":"Sun Yat-sen University Cancer Center","ror":"https://ror.org/0400g8r85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangru Ke","raw_affiliation_strings":["Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China","State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China","State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People\u2019s Republic of China","Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101538826","display_name":"Dan Hou","orcid":"https://orcid.org/0000-0001-9824-7500"},"institutions":[{"id":"https://openalex.org/I4210103174","display_name":"EA Technology","ror":"https://ror.org/00qwj7906","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210103174"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Dan Hou","raw_affiliation_strings":["Deepaint Intelligence Technology Co., Ltd., Guangzhou, People's Republic of China","Deepaint Intelligence Technology Co., Ltd., Guangzhou, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deepaint Intelligence Technology Co., Ltd., Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I4210103174"]},{"raw_affiliation_string":"Deepaint Intelligence Technology Co., Ltd., Guangzhou, People\u2019s Republic of China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778536","display_name":"Jingdong Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103346","display_name":"Nanfang Hospital","ror":"https://ror.org/01eq10738","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210103346"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingdong Yan","raw_affiliation_strings":["Department of Information, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China","Department of Information, Nanfang Hospital, Southern Medical University, Guangzhou, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I58200834"]},{"raw_affiliation_string":"Department of Information, Nanfang Hospital, Southern Medical University, Guangzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I58200834","https://openalex.org/I4210103346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375867","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-9870-9178"},"institutions":[{"id":"https://openalex.org/I4210103346","display_name":"Nanfang Hospital","ror":"https://ror.org/01eq10738","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210103346"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Department of Information, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China","Department of Information, Nanfang Hospital, Southern Medical University, Guangzhou, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I58200834"]},{"raw_affiliation_string":"Department of Information, Nanfang Hospital, Southern Medical University, Guangzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I58200834","https://openalex.org/I4210103346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072479355","display_name":"Weijun Fan","orcid":"https://orcid.org/0000-0002-8757-647X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210146711","display_name":"Sun Yat-sen University Cancer Center","ror":"https://ror.org/0400g8r85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijun Fan","raw_affiliation_strings":["Department of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China","State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China","State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People\u2019s Republic of China","Department of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People\u2019s Republic of China"],"raw_orcid":"https://orcid.org/0000-0002-8757-647X","affiliations":[{"raw_affiliation_string":"Department of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]},{"raw_affiliation_string":"Department of Minimally Invasive Interventional Therapy, Sun Yat-sen University Cancer Center, Guangzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5008020180","https://openalex.org/A5011909410","https://openalex.org/A5021997436","https://openalex.org/A5072479355","https://openalex.org/A5100375867","https://openalex.org/A5100778536","https://openalex.org/A5101528371","https://openalex.org/A5101538826","https://openalex.org/A5109498486"],"corresponding_institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210088873","https://openalex.org/I4210103174","https://openalex.org/I4210103346","https://openalex.org/I4210146711","https://openalex.org/I58200834"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":1.9881,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88599952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"19","issue":"1","first_page":"e1010830","last_page":"e1010830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9894000291824341,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/computer-science","display_name":"Computer science","score":0.6767738461494446},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.6612502932548523},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5611974000930786},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5117692947387695},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49289417266845703},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.48837989568710327},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.45848602056503296},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.44174522161483765},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.435351699590683},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13810020685195923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13634538650512695},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.1258876919746399},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09738141298294067}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6767738461494446},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.6612502932548523},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5611974000930786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5117692947387695},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49289417266845703},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.48837989568710327},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.45848602056503296},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.44174522161483765},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.435351699590683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13810020685195923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13634538650512695},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.1258876919746399},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09738141298294067},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006528","descriptor_name":"Carcinoma, Hepatocellular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006528","descriptor_name":"Carcinoma, Hepatocellular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006528","descriptor_name":"Carcinoma, Hepatocellular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D008113","descriptor_name":"Liver Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008113","descriptor_name":"Liver Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008113","descriptor_name":"Liver Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1371/journal.pcbi.1010830","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010830","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:36608157","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36608157","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9851545","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9851545","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9851545/pdf/pcbi.1010830.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:95d9e7d9e5d3492ebb27a10824cdc6cf","is_oa":true,"landing_page_url":"https://doaj.org/article/95d9e7d9e5d3492ebb27a10824cdc6cf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 19, Iss 1, p e1010830 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1010830","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010830","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2050418356","https://openalex.org/W2109242212","https://openalex.org/W2141444851","https://openalex.org/W2607113351","https://openalex.org/W2805089815","https://openalex.org/W2806442883","https://openalex.org/W2952098834","https://openalex.org/W2956087440","https://openalex.org/W3082078093","https://openalex.org/W4242769447"],"related_works":["https://openalex.org/W2754214645","https://openalex.org/W4389426664","https://openalex.org/W4225126530","https://openalex.org/W4362511788","https://openalex.org/W4214589041","https://openalex.org/W2791348740","https://openalex.org/W1741429903","https://openalex.org/W4316464002","https://openalex.org/W2997146908","https://openalex.org/W1985727224"],"abstract_inverted_index":{"The":[0,18,31,98,154],"survival":[1,16,28,77],"path":[2,29],"mapping":[3],"approach":[4],"has":[5],"been":[6],"proposed":[7],"for":[8,75,103,114,125],"dynamic":[9],"prognostication":[10],"of":[11,49,56,72,136,143],"cancer":[12],"patients":[13,144],"using":[14,82],"time-series":[15,37],"data.":[17],"SurvivalPath":[19,155],"R":[20,156],"package":[21,32,99,138,157],"was":[22],"developed":[23],"to":[24,35],"facilitate":[25],"building":[26],"personalized":[27],"models.":[30],"contains":[33],"functions":[34],"convert":[36],"data":[38,41],"into":[39],"time-slices":[40],"by":[42],"fixed":[43],"interval":[44],"based":[45],"on":[46,62],"time":[47,73],"information":[48],"input":[50],"medical":[51],"records.":[52],"After":[53],"the":[54,83,105,134,152],"pre-processing":[55],"data,":[57],"under":[58],"a":[59,91,140],"user-defined":[60],"parameters":[61,96],"covariates,":[63],"significance":[64],"level,":[65],"minimum":[66],"bifurcation":[67],"sample":[68],"size":[69],"and":[70,109,112,166],"number":[71],"slices":[74],"analysis,":[76],"paths":[78],"can":[79,87,122],"be":[80,88,123],"computed":[81],"main":[84],"function,":[85],"which":[86,121,148],"visualized":[89],"as":[90],"tree":[92],"diagram,":[93],"with":[94,118,145,163],"important":[95],"annotated.":[97],"also":[100],"includes":[101],"function":[102,113],"analyzing":[104],"connections":[106],"between":[107],"exposure/treatment":[108],"node":[110],"transitions,":[111],"screening":[115],"patient":[116],"subgroup":[117],"specific":[119],"features,":[120],"used":[124],"further":[126],"exploration":[127],"analysis.":[128],"In":[129],"this":[130,137],"study,":[131],"we":[132],"demonstrate":[133],"application":[135],"in":[139,151],"large":[141],"dataset":[142],"hepatocellular":[146],"carcinoma,":[147],"is":[149,158],"embedded":[150],"package.":[153],"freely":[159],"available":[160],"from":[161],"CRAN,":[162],"source":[164],"code":[165],"documentation":[167],"hosted":[168],"at":[169],"https://github.com/zhangt369/SurvivalPath.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}