{"id":"https://openalex.org/W3110864763","doi":"https://doi.org/10.3390/a13120334","title":"Feature Selection from Lyme Disease Patient Survey Using Machine Learning","display_name":"Feature Selection from Lyme Disease Patient Survey Using Machine Learning","publication_year":2020,"publication_date":"2020-12-11","ids":{"openalex":"https://openalex.org/W3110864763","doi":"https://doi.org/10.3390/a13120334","mag":"3110864763"},"language":"en","primary_location":{"id":"doi:10.3390/a13120334","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a13120334","pdf_url":"https://www.mdpi.com/1999-4893/13/12/334/pdf?version=1607754702","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/13/12/334/pdf?version=1607754702","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066550933","display_name":"Joshua Vendrow","orcid":"https://orcid.org/0000-0002-1041-5782"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joshua Vendrow","raw_affiliation_strings":["Department of Mathematics, University of California, Los Angeles, CA 90095, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of California, Los Angeles, CA 90095, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048004087","display_name":"Jamie Haddock","orcid":"https://orcid.org/0000-0002-1449-2574"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jamie Haddock","raw_affiliation_strings":["Department of Mathematics, University of California, Los Angeles, CA 90095, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of California, Los Angeles, CA 90095, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024153474","display_name":"Deanna Needell","orcid":"https://orcid.org/0000-0002-8058-8638"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deanna Needell","raw_affiliation_strings":["Department of Mathematics, University of California, Los Angeles, CA 90095, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of California, Los Angeles, CA 90095, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000017106","display_name":"Lorraine Johnson","orcid":"https://orcid.org/0000-0003-4513-2106"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lorraine Johnson","raw_affiliation_strings":["Chief Executive Officer, LymeDisease.org, Los Angeles, CA 94583, USA"],"affiliations":[{"raw_affiliation_string":"Chief Executive Officer, LymeDisease.org, Los Angeles, CA 94583, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066550933"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.8428,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.69099407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"13","issue":"12","first_page":"334","last_page":"334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10296","display_name":"Vector-borne infectious diseases","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2405","display_name":"Parasitology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10296","display_name":"Vector-borne infectious diseases","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2405","display_name":"Parasitology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12047","display_name":"Viral Infections and Vectors","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6943572759628296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6808620095252991},{"id":"https://openalex.org/keywords/lyme-disease","display_name":"Lyme disease","score":0.6186769008636475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5759146213531494},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.48898351192474365},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4538681209087372},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4416826665401459},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4302235543727875},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3486343026161194},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24634596705436707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21203073859214783}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6943572759628296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6808620095252991},{"id":"https://openalex.org/C2777553296","wikidata":"https://www.wikidata.org/wiki/Q201989","display_name":"Lyme disease","level":2,"score":0.6186769008636475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5759146213531494},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.48898351192474365},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4538681209087372},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4416826665401459},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4302235543727875},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3486343026161194},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24634596705436707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21203073859214783},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a13120334","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a13120334","pdf_url":"https://www.mdpi.com/1999-4893/13/12/334/pdf?version=1607754702","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bc57870233454bc08d3a5a802c4a762a","is_oa":true,"landing_page_url":"https://doaj.org/article/bc57870233454bc08d3a5a802c4a762a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 13, Iss 12, p 334 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/13/12/334/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a13120334","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Algorithms; Volume 13; Issue 12; Pages: 334","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a13120334","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a13120334","pdf_url":"https://www.mdpi.com/1999-4893/13/12/334/pdf?version=1607754702","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1871087456","display_name":null,"funder_award_id":"1740325","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3988822849","display_name":null,"funder_award_id":"1348721","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3110864763.pdf","grobid_xml":"https://content.openalex.org/works/W3110864763.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1989672019","https://openalex.org/W2019176983","https://openalex.org/W2025416912","https://openalex.org/W2089927030","https://openalex.org/W2100584234","https://openalex.org/W2106077838","https://openalex.org/W2108919995","https://openalex.org/W2117004913","https://openalex.org/W2119387367","https://openalex.org/W2126060212","https://openalex.org/W2133282204","https://openalex.org/W2896243637","https://openalex.org/W2998216295","https://openalex.org/W3085973060","https://openalex.org/W3091764807","https://openalex.org/W3091952751","https://openalex.org/W4285719527","https://openalex.org/W6676432025","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W3172519794","https://openalex.org/W2125998344","https://openalex.org/W2417205103","https://openalex.org/W2912850205","https://openalex.org/W2029739863","https://openalex.org/W55776657","https://openalex.org/W2016070907","https://openalex.org/W1988444964","https://openalex.org/W4210886090","https://openalex.org/W4224922629"],"abstract_inverted_index":{"Lyme":[0,58],"disease":[1,41,59],"is":[2],"a":[3,55],"rapidly":[4],"growing":[5],"illness":[6],"that":[7,96],"remains":[8],"poorly":[9],"understood":[10],"within":[11],"the":[12,40,65,78,88,98,134,138,143,156,163,167],"medical":[13],"community.":[14],"Critical":[15],"questions":[16,48,95],"about":[17],"when":[18],"and":[19,34,127,140,165,187],"why":[20],"patients":[21],"respond":[22],"to":[23,37,54,76,87,101,151],"treatment":[24],"or":[25,107],"stay":[26],"ill,":[27],"what":[28],"kinds":[29],"of":[30,80,91,137,169],"treatments":[31],"are":[32],"effective,":[33],"even":[35],"how":[36],"properly":[38],"diagnose":[39],"remain":[42],"largely":[43],"unanswered.":[44],"We":[45,68,113,131],"investigate":[46],"these":[47,170],"by":[49,64],"applying":[50],"machine":[51,71],"learning":[52,72],"techniques":[53],"large":[56],"scale":[57],"patient":[60],"registry,":[61],"MyLymeData,":[62],"developed":[63],"nonprofit":[66],"LymeDisease.org.":[67],"apply":[69],"various":[70],"methods":[73],"in":[74,83],"order":[75],"measure":[77],"effect":[79],"individual":[81],"features":[82,146,171],"predicting":[84,148],"participants\u2019":[85],"answers":[86,150],"Global":[89],"Rating":[90],"Change":[92],"(GROC)":[93],"survey":[94],"assess":[97],"self-reported":[99],"degree":[100],"which":[102],"their":[103],"condition":[104],"improved,":[105],"worsened,":[106],"remained":[108],"unchanged":[109],"following":[110],"antibiotic":[111],"treatment.":[112],"use":[114],"basic":[115],"linear":[116],"regression,":[117],"support":[118],"vector":[119],"machines,":[120],"neural":[121],"networks,":[122],"entropy-based":[123],"decision":[124],"tree":[125],"models,":[126],"k-nearest":[128],"neighbors":[129],"approaches.":[130],"first":[132],"analyze":[133],"general":[135],"performance":[136],"model":[139],"then":[141],"identify":[142,155],"most":[144],"important":[145],"for":[147,182],"participant":[149],"GROC.":[152,174],"After":[153],"we":[154,159,178],"\u201ckey\u201d":[157],"features,":[158],"separate":[160],"them":[161],"from":[162],"dataset":[164],"demonstrate":[166],"effectiveness":[168],"at":[172],"identifying":[173],"In":[175],"doing":[176],"so,":[177],"highlight":[179],"possible":[180],"directions":[181],"future":[183],"study":[184],"both":[185],"mathematically":[186],"clinically.":[188]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-16T23:07:24.559242","created_date":"2025-10-10T00:00:00"}