{"id":"https://openalex.org/W2752336652","doi":"https://doi.org/10.1109/lra.2017.2746918","title":"Improving Colorectal Polyp Classification Based on Physical Examination Data\u2014An Ensemble Learning Approach","display_name":"Improving Colorectal Polyp Classification Based on Physical Examination Data\u2014An Ensemble Learning Approach","publication_year":2017,"publication_date":"2017-08-30","ids":{"openalex":"https://openalex.org/W2752336652","doi":"https://doi.org/10.1109/lra.2017.2746918","mag":"2752336652"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2017.2746918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2017.2746918","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-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/A5002391709","display_name":"Xiaolei Xie","orcid":"https://orcid.org/0000-0002-5133-9712"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolei Xie","raw_affiliation_strings":["Department of Industrial Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077877130","display_name":"Jie Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I4210147433","display_name":"Beijing Friendship Hospital","ror":"https://ror.org/053qy4437","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210147433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xing","raw_affiliation_strings":["Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I4210147433","https://openalex.org/I183519381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049992511","display_name":"Nan Kong","orcid":"https://orcid.org/0000-0002-4047-3414"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Kong","raw_affiliation_strings":["Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101997494","display_name":"Chong Li","orcid":"https://orcid.org/0000-0003-1599-0273"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Li","raw_affiliation_strings":["School of Management and Economics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Management and Economics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113656701","display_name":"Jinlin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlin Li","raw_affiliation_strings":["School of Management and Economics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Management and Economics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042750526","display_name":"Shutian Zhang","orcid":"https://orcid.org/0000-0003-2356-4397"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I4210147433","display_name":"Beijing Friendship Hospital","ror":"https://ror.org/053qy4437","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210147433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutian Zhang","raw_affiliation_strings":["Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I4210147433","https://openalex.org/I183519381"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5002391709"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2298,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.5809136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3","issue":"1","first_page":"434","last_page":"441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9915000200271606,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9865000247955322,"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/colorectal-cancer","display_name":"Colorectal cancer","score":0.7179023027420044},{"id":"https://openalex.org/keywords/colonoscopy","display_name":"Colonoscopy","score":0.6513104438781738},{"id":"https://openalex.org/keywords/colorectal-polyp","display_name":"Colorectal Polyp","score":0.6270191669464111},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5784121155738831},{"id":"https://openalex.org/keywords/incidence","display_name":"Incidence (geometry)","score":0.5540049076080322},{"id":"https://openalex.org/keywords/cohort","display_name":"Cohort","score":0.45192620158195496},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.437389075756073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43072718381881714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.367725133895874},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3658745586872101},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3560536503791809},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.29712748527526855}],"concepts":[{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.7179023027420044},{"id":"https://openalex.org/C2778435480","wikidata":"https://www.wikidata.org/wiki/Q840387","display_name":"Colonoscopy","level":4,"score":0.6513104438781738},{"id":"https://openalex.org/C2910564736","wikidata":"https://www.wikidata.org/wiki/Q1209892","display_name":"Colorectal Polyp","level":5,"score":0.6270191669464111},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5784121155738831},{"id":"https://openalex.org/C61511704","wikidata":"https://www.wikidata.org/wiki/Q1671857","display_name":"Incidence (geometry)","level":2,"score":0.5540049076080322},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.45192620158195496},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.437389075756073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43072718381881714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.367725133895874},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3658745586872101},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3560536503791809},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.29712748527526855},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2017.2746918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2017.2746918","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1995843439","display_name":null,"funder_award_id":"71672006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2933149581","display_name":null,"funder_award_id":"71432002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3978865319","display_name":null,"funder_award_id":"106511","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G7876914125","display_name":null,"funder_award_id":"71501109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1489537150","https://openalex.org/W1594031697","https://openalex.org/W1909768921","https://openalex.org/W1968440551","https://openalex.org/W1971705204","https://openalex.org/W2037387911","https://openalex.org/W2050154100","https://openalex.org/W2052724819","https://openalex.org/W2065974896","https://openalex.org/W2066695858","https://openalex.org/W2080840019","https://openalex.org/W2083277862","https://openalex.org/W2096273816","https://openalex.org/W2099879714","https://openalex.org/W2101521482","https://openalex.org/W2101664201","https://openalex.org/W2106028933","https://openalex.org/W2106787323","https://openalex.org/W2108064783","https://openalex.org/W2112054393","https://openalex.org/W2120309065","https://openalex.org/W2135662848","https://openalex.org/W2153022868","https://openalex.org/W2154053567","https://openalex.org/W2171545351","https://openalex.org/W2172970386","https://openalex.org/W2417673889","https://openalex.org/W2558029561","https://openalex.org/W2911964244","https://openalex.org/W2917548508","https://openalex.org/W2917837889","https://openalex.org/W3021669467","https://openalex.org/W4211090034","https://openalex.org/W4242841269","https://openalex.org/W6640049349","https://openalex.org/W6730199303"],"related_works":["https://openalex.org/W2381279477","https://openalex.org/W3016587774","https://openalex.org/W4307526283","https://openalex.org/W3094606858","https://openalex.org/W914189219","https://openalex.org/W2048877046","https://openalex.org/W2754048414","https://openalex.org/W2770065711","https://openalex.org/W2320150036","https://openalex.org/W3112283869"],"abstract_inverted_index":{"Colorectal":[0,26],"cancer":[1,37,163],"is":[2,52],"a":[3,95,123],"common":[4],"type":[5],"of":[6,34,103,122],"cancer.":[7],"Due":[8,39],"to":[9,40,60,99,126,146,160],"the":[10,62,128,137,148],"alarming":[11],"incidence":[12,86],"and":[13,24,29,46,68,77,118],"mortality":[14],"rate,":[15,50],"it":[16,51],"has":[17],"received":[18],"increasing":[19],"attention":[20],"on":[21],"early":[22,161],"detection":[23],"treatment.":[25],"polyps":[27],"form":[28],"grow":[30],"at":[31],"initial":[32],"stages":[33],"most":[35],"colorectal":[36,65,104,162],"cases.":[38],"rather":[41],"stringent":[42],"medical":[43],"resource":[44],"availability":[45],"low":[47],"screening":[48,119],"compliance":[49],"more":[53],"desirable":[54],"in":[55,165],"China":[56],"than":[57],"industrialized":[58],"countries":[59],"characterize":[61],"relations":[63],"between":[64],"polyp":[66,85,105],"occurrence":[67],"various":[69],"potential":[70],"determinants,":[71],"including":[72],"basic":[73],"health":[74],"information,":[75],"comorbidities,":[76],"lifestyle":[78],"conditions.":[79],"Subsequently,":[80],"one":[81],"can":[82],"better":[83],"predict":[84],"for":[87,115],"each":[88],"individual.":[89],"In":[90],"this":[91],"letter,":[92],"we":[93],"report":[94],"data-driven":[96],"modeling":[97],"study":[98,142],"improve":[100],"binary":[101],"classification":[102],"occurrence.":[106],"We":[107],"apply":[108],"several":[109],"machine-learning":[110],"methods,":[111],"particularly":[112],"random":[113,138],"forests,":[114],"physical":[116],"examination":[117],"colonoscopy":[120],"results":[121,131],"Chinese":[124],"cohort,":[125],"build":[127],"classifiers.":[129],"Our":[130,141],"suggest":[132],"improved":[133],"prediction":[134],"performance":[135],"with":[136],"forests":[139],"model.":[140],"also":[143],"provides":[144],"evidence":[145],"support":[147],"general":[149],"speculation":[150],"that":[151],"emotional":[152],"status":[153],"may":[154],"be":[155],"an":[156],"influential":[157],"risk":[158],"factor":[159],"growth":[164],"China.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
