{"id":"https://openalex.org/W4312924322","doi":"https://doi.org/10.1145/3565291.3565309","title":"Feature selection methods for high-dimensional biomedical time-to-event data: a review","display_name":"Feature selection methods for high-dimensional biomedical time-to-event data: a review","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4312924322","doi":"https://doi.org/10.1145/3565291.3565309"},"language":"en","primary_location":{"id":"doi:10.1145/3565291.3565309","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565291.3565309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Big Data Technologies","raw_type":"proceedings-article"},"type":"review","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/A5023849838","display_name":"Huaning Tan","orcid":"https://orcid.org/0000-0003-0999-2125"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaning Tan","raw_affiliation_strings":["International School, Jinan University, China"],"raw_orcid":"https://orcid.org/0000-0003-0999-2125","affiliations":[{"raw_affiliation_string":"International School, Jinan University, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021738485","display_name":"Chutong Deng","orcid":"https://orcid.org/0000-0002-1987-5574"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chutong Deng","raw_affiliation_strings":["International School, Jinan University, China"],"raw_orcid":"https://orcid.org/0000-0002-1987-5574","affiliations":[{"raw_affiliation_string":"International School, Jinan University, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067031795","display_name":"Shaobo Chen","orcid":"https://orcid.org/0000-0002-6125-8879"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]},{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Chen","raw_affiliation_strings":["College of Information Science and Technology, Jinan University, China"],"raw_orcid":"https://orcid.org/0000-0002-6125-8879","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Jinan University, China","institution_ids":["https://openalex.org/I34949971","https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072611761","display_name":"Qianlin Luo","orcid":"https://orcid.org/0000-0001-7417-2954"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianlin Luo","raw_affiliation_strings":["International School, Jinan University, China"],"raw_orcid":"https://orcid.org/0000-0001-7417-2954","affiliations":[{"raw_affiliation_string":"International School, Jinan University, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025777969","display_name":"Guoqiang Hu","orcid":"https://orcid.org/0000-0001-9333-1498"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Hu","raw_affiliation_strings":["International School, Jinan University, China"],"raw_orcid":"https://orcid.org/0000-0001-9333-1498","affiliations":[{"raw_affiliation_string":"International School, Jinan University, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005465995","display_name":"Yujuan Quan","orcid":"https://orcid.org/0000-0001-6206-7022"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]},{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujuan Quan","raw_affiliation_strings":["College of Information Science and Technology, Jinan University, China"],"raw_orcid":"https://orcid.org/0000-0001-6206-7022","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Jinan University, China","institution_ids":["https://openalex.org/I34949971","https://openalex.org/I159948400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023849838"],"corresponding_institution_ids":["https://openalex.org/I159948400"],"apc_list":null,"apc_paid":null,"fwci":0.4932,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68582818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"36","issue":null,"first_page":"113","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9980999827384949,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9980999827384949,"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/T10885","display_name":"Gene expression and cancer classification","score":0.996999979019165,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9919999837875366,"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/feature-selection","display_name":"Feature selection","score":0.8066325783729553},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.7877273559570312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7326252460479736},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6216284036636353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5888011455535889},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5877106189727783},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.5610334873199463},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.542593240737915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5160762667655945},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.491491436958313},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.48041558265686035},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.46801483631134033},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43863677978515625},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43851420283317566}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8066325783729553},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.7877273559570312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7326252460479736},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6216284036636353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5888011455535889},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5877106189727783},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.5610334873199463},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.542593240737915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5160762667655945},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.491491436958313},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.48041558265686035},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.46801483631134033},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43863677978515625},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43851420283317566},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3565291.3565309","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565291.3565309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Big Data Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W29839599","https://openalex.org/W1576218159","https://openalex.org/W1986546598","https://openalex.org/W1993273815","https://openalex.org/W1997413230","https://openalex.org/W2005895632","https://openalex.org/W2020925091","https://openalex.org/W2030678916","https://openalex.org/W2075490785","https://openalex.org/W2097360283","https://openalex.org/W2110992644","https://openalex.org/W2120579447","https://openalex.org/W2122825543","https://openalex.org/W2144603192","https://openalex.org/W2148487094","https://openalex.org/W2149144946","https://openalex.org/W2149407433","https://openalex.org/W2157076315","https://openalex.org/W2236833089","https://openalex.org/W2395048215","https://openalex.org/W2417957642","https://openalex.org/W2743015549","https://openalex.org/W2753919178","https://openalex.org/W2789172526","https://openalex.org/W2797883881","https://openalex.org/W2798250294","https://openalex.org/W2895486342","https://openalex.org/W2922422128","https://openalex.org/W2928673187","https://openalex.org/W2944653470","https://openalex.org/W2962772482","https://openalex.org/W2968494932","https://openalex.org/W2972059645","https://openalex.org/W3001977245","https://openalex.org/W3008867523","https://openalex.org/W3009545736","https://openalex.org/W3093838039","https://openalex.org/W3099478002","https://openalex.org/W3102476541","https://openalex.org/W3108502944","https://openalex.org/W3110813577","https://openalex.org/W3136075083","https://openalex.org/W3154741497","https://openalex.org/W3172776396","https://openalex.org/W4255450006","https://openalex.org/W4289236186","https://openalex.org/W4289282025","https://openalex.org/W4399638758","https://openalex.org/W6702329101","https://openalex.org/W6903655558","https://openalex.org/W6959938968"],"related_works":["https://openalex.org/W2468272465","https://openalex.org/W2429564919","https://openalex.org/W757986597","https://openalex.org/W4212910148","https://openalex.org/W4210804200","https://openalex.org/W4213314600","https://openalex.org/W4285814086","https://openalex.org/W3123944750","https://openalex.org/W2787225985","https://openalex.org/W2999956516"],"abstract_inverted_index":{"In":[0],"digital":[1],"era,":[2],"time-to-event":[3,55],"data":[4,34],"collected":[5],"from":[6],"biomedical":[7],"studies":[8],"and":[9,49,71,83,101],"healthcare":[10],"are":[11],"often":[12],"of":[13,27,89],"high":[14],"dimensionality,":[15],"presenting":[16],"computational":[17],"challenges":[18,100],"for":[19,37,54],"traditional":[20],"survival":[21,69],"models.":[22],"To":[23],"make":[24],"full":[25],"use":[26],"these":[28],"data,":[29,56],"feature":[30],"selection":[31],"(FS),":[32],"a":[33,103],"processing":[35],"technique":[36],"dimensionality":[38],"reduction,":[39],"shows":[40],"great":[41],"significance.":[42],"This":[43],"work":[44],"introduces":[45],"statistical,":[46],"machine":[47],"learning,":[48],"deep":[50],"learning":[51],"FS":[52,78,92],"methods":[53,79,93],"mainly":[57],"focusing":[58],"on":[59],"lasso,":[60,64],"elastic":[61,66],"net,":[62,67],"adaptive":[63,65],"random":[68],"forest,":[70],"XGBoost.":[72],"We":[73],"also":[74],"describe":[75],"three":[76],"state-of-art":[77],"\u2013":[80],"BASIL,":[81],"FilterDeepHit+,":[82],"SparseDeepHit+.":[84],"Then,":[85],"we":[86,97],"compare":[87],"C-Index":[88],"4":[90],"basic":[91],"in":[94],"experiment.":[95],"Finally,":[96],"discuss":[98],"future":[99],"draw":[102],"conclusion.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
