{"id":"https://openalex.org/W2750470851","doi":"https://doi.org/10.1109/bibm.2017.8217754","title":"Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa","display_name":"Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2750470851","doi":"https://doi.org/10.1109/bibm.2017.8217754","mag":"2750470851"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2017.8217754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1708.04714","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062951593","display_name":"Michael T. Lash","orcid":null},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael T. Lash","raw_affiliation_strings":["Department of Computer Science, University of Iowa, Iowa City, Iowa","Department of Computer Science, University of Iowa, Iowa City, Iowa 52242#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Iowa, Iowa City, Iowa","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Computer Science, University of Iowa, Iowa City, Iowa 52242#TAB#","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072186994","display_name":"Yuqi Sun","orcid":"https://orcid.org/0000-0003-4334-2564"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuqi Sun","raw_affiliation_strings":["Department of Computer Science, University of Iowa, Iowa City, Iowa","Department of Computer Science, University of Iowa, Iowa City, Iowa 52242#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Iowa, Iowa City, Iowa","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Computer Science, University of Iowa, Iowa City, Iowa 52242#TAB#","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086198510","display_name":"Xun Zhou","orcid":"https://orcid.org/0000-0003-4930-6572"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xun Zhou","raw_affiliation_strings":["Department of Management Sciences, University of Iowa, Iowa City, Iowa","Department of Management Sciences, University of Iowa, Iowa City, Iowa 52242#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Sciences, University of Iowa, Iowa City, Iowa","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Management Sciences, University of Iowa, Iowa City, Iowa 52242#TAB#","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081108863","display_name":"Charles F. Lynch","orcid":"https://orcid.org/0000-0002-9542-6439"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles F. Lynch","raw_affiliation_strings":["Department of Epidemiology, University of Iowa, Iowa City, Iowa","Department of Epidemiology, University of Iowa, Iowa City, Iowa 52242"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology, University of Iowa, Iowa City, Iowa","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Epidemiology, University of Iowa, Iowa City, Iowa 52242","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031033430","display_name":"W. Nick Street","orcid":"https://orcid.org/0000-0002-1632-5905"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Nick Street","raw_affiliation_strings":["Department of Management Sciences, University of Iowa, Iowa City, Iowa","Department of Management Sciences, University of Iowa, Iowa City, Iowa 52242#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Sciences, University of Iowa, Iowa City, Iowa","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Management Sciences, University of Iowa, Iowa City, Iowa 52242#TAB#","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14229722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"778","last_page":"785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9929999709129333,"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":0.9915000200271606,"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/metric","display_name":"Metric (unit)","score":0.7435187697410583},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6648533940315247},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5859524011611938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5088122487068176},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5069401264190674},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.5017573833465576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49802422523498535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49502676725387573},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48640990257263184},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.48136836290359497},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4650389552116394},{"id":"https://openalex.org/keywords/colorectal-cancer","display_name":"Colorectal cancer","score":0.45451685786247253},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4357791244983673},{"id":"https://openalex.org/keywords/predictive-value","display_name":"Predictive value","score":0.4192085862159729},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30593743920326233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2415476143360138},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.23990488052368164},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21307402849197388},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12302738428115845},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.06717652082443237}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7435187697410583},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6648533940315247},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5859524011611938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5088122487068176},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5069401264190674},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.5017573833465576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49802422523498535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49502676725387573},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48640990257263184},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.48136836290359497},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4650389552116394},{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.45451685786247253},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4357791244983673},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.4192085862159729},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30593743920326233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2415476143360138},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.23990488052368164},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21307402849197388},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12302738428115845},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.06717652082443237},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/bibm.2017.8217754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1708.04714","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.04714","pdf_url":"https://arxiv.org/pdf/1708.04714","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2750470851","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1708.04714.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1708.04714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1708.04714","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1708.04714","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.04714","pdf_url":"https://arxiv.org/pdf/1708.04714","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310886","display_name":"Iowa Department of Public Health","ror":"https://ror.org/032m4kp77"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2750470851.pdf","grobid_xml":"https://content.openalex.org/works/W2750470851.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W127710828","https://openalex.org/W1207633162","https://openalex.org/W1580788756","https://openalex.org/W1826727384","https://openalex.org/W1965906341","https://openalex.org/W1971631718","https://openalex.org/W1979300931","https://openalex.org/W2009572985","https://openalex.org/W2022275887","https://openalex.org/W2029008405","https://openalex.org/W2075870701","https://openalex.org/W2133626129","https://openalex.org/W2291848788","https://openalex.org/W2415877456","https://openalex.org/W2621586148","https://openalex.org/W2739060064","https://openalex.org/W2963847911","https://openalex.org/W4251670979","https://openalex.org/W4293241248","https://openalex.org/W6630279730","https://openalex.org/W6696736756","https://openalex.org/W7074222748"],"related_works":["https://openalex.org/W2962863145","https://openalex.org/W2734298333","https://openalex.org/W2902482795","https://openalex.org/W3107844370","https://openalex.org/W2402632249","https://openalex.org/W3124223019","https://openalex.org/W2012270441","https://openalex.org/W2026706435","https://openalex.org/W1844044367","https://openalex.org/W2415877456","https://openalex.org/W188781716","https://openalex.org/W2903287486","https://openalex.org/W3043105541","https://openalex.org/W102521246","https://openalex.org/W3008126719","https://openalex.org/W2950183133","https://openalex.org/W3190076669","https://openalex.org/W2254132117","https://openalex.org/W3120473256","https://openalex.org/W3045945003"],"abstract_inverted_index":{"Neural":[0],"networks":[1],"are":[2],"capable":[3],"of":[4,29,43,85],"learning":[5],"rich,":[6],"nonlinear":[7],"feature":[8],"representations":[9],"shown":[10],"to":[11,25,49,68],"be":[12,75,115],"beneficial":[13],"in":[14,32,40,82],"many":[15],"predictive":[16,92,121,136],"tasks.":[17],"In":[18],"this":[19],"work,":[20],"we":[21,52],"use":[22,28],"these":[23],"models":[24],"explore":[26],"the":[27,41,46,64,83,125,140],"geographical":[30,89,133],"features":[31,90,134],"predicting":[33],"colorectal":[34,79],"cancer":[35,80],"survival":[36,72,112,127],"curves":[37,65,73,113],"for":[38,78],"patients":[39,81],"state":[42,84],"Iowa,":[44,86],"spanning":[45],"years":[47],"1989":[48],"2013.":[50],"Specifically,":[51],"compare":[53],"model":[54],"performance":[55,122,142],"using":[56,145],"a":[57,97],"newly":[58],"defined":[59],"metric":[60],"-":[61,67],"area":[62],"between":[63],"(ABC)":[66],"assess":[69],"(a)":[70],"whether":[71,88,96],"can":[74,114],"reasonably":[76,116],"predicted":[77],"(b)":[87],"improve":[91,135],"performance,":[93,137],"and":[94,138],"(c)":[95],"simple":[98],"binary":[99],"representation":[100,105],"or":[101],"richer,":[102,146],"spectral":[103,147],"clustering-based":[104],"perform":[106],"better.":[107],"Our":[108],"findings":[109],"suggest":[110],"that":[111,132,139],"estimated":[117],"on":[118],"average,":[119],"with":[120],"deviating":[123],"at":[124],"five-year":[126],"mark.":[128],"We":[129],"also":[130],"find":[131],"best":[141],"is":[143],"obtained":[144],"analysis-elicited":[148],"features.":[149]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
