{"id":"https://openalex.org/W2963348657","doi":"https://doi.org/10.1145/3269206.3269250","title":"Detecting Parkinson's Disease from Interactions with a Search Engine","display_name":"Detecting Parkinson's Disease from Interactions with a Search Engine","publication_year":2018,"publication_date":"2018-10-17","ids":{"openalex":"https://openalex.org/W2963348657","doi":"https://doi.org/10.1145/3269206.3269250","mag":"2963348657"},"language":"en","primary_location":{"id":"doi:10.1145/3269206.3269250","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3269250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5061693903","display_name":"Liron Allerhand","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125051","display_name":"Microsoft (Israel)","ror":"https://ror.org/03819cc96","country_code":"IL","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210125051"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Liron Allerhand","raw_affiliation_strings":["Microsoft Research, Herzliya, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Herzliya, Israel","institution_ids":["https://openalex.org/I4210125051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026215174","display_name":"Brit Youngmann","orcid":"https://orcid.org/0000-0002-0031-5550"},"institutions":[{"id":"https://openalex.org/I4210125051","display_name":"Microsoft (Israel)","ror":"https://ror.org/03819cc96","country_code":"IL","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210125051"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Brit Youngmann","raw_affiliation_strings":["Microsoft Research, Herziliya, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Herziliya, Israel","institution_ids":["https://openalex.org/I4210125051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009670109","display_name":"Elad Yom\u2010Tov","orcid":"https://orcid.org/0000-0002-2380-4584"},"institutions":[{"id":"https://openalex.org/I4210125051","display_name":"Microsoft (Israel)","ror":"https://ror.org/03819cc96","country_code":"IL","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210125051"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Elad Yom-Tov","raw_affiliation_strings":["Microsoft Reaserch, Herziliya, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Reaserch, Herziliya, Israel","institution_ids":["https://openalex.org/I4210125051"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065270299","display_name":"David Arkadir","orcid":"https://orcid.org/0000-0001-5065-991X"},"institutions":[{"id":"https://openalex.org/I2799899409","display_name":"Hadassah Medical Center","ror":"https://ror.org/01cqmqj90","country_code":"IL","type":"healthcare","lineage":["https://openalex.org/I2799899409"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"David Arkadir","raw_affiliation_strings":["Hadassah Medical School, Jerusalem, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hadassah Medical School, Jerusalem, Israel","institution_ids":["https://openalex.org/I2799899409"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1539","last_page":"1542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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":0.6947411298751831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.654633641242981},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6426571607589722},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6232752203941345},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5392858386039734},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5175313353538513},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49264150857925415},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4805243909358978},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44409456849098206},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4185114800930023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6947411298751831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.654633641242981},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6426571607589722},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6232752203941345},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5392858386039734},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5175313353538513},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49264150857925415},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4805243909358978},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44409456849098206},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4185114800930023},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3269206.3269250","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3269250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1922017469","https://openalex.org/W1954032987","https://openalex.org/W2008827081","https://openalex.org/W2029389635","https://openalex.org/W2104083296","https://openalex.org/W2106817091","https://openalex.org/W2120889650","https://openalex.org/W2134886133","https://openalex.org/W2149399316","https://openalex.org/W2165474780","https://openalex.org/W2339003788","https://openalex.org/W2343698281","https://openalex.org/W2460657948","https://openalex.org/W2554249857","https://openalex.org/W2788920012","https://openalex.org/W2801455414","https://openalex.org/W3103552852"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W2889302474","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Parkinson's":[0],"disease":[1,8,178],"(PD)":[2],"is":[3,78,134],"a":[4,19,46,62,130],"slowly":[5],"progressing":[6],"neurodegenerative":[7],"with":[9,45],"early":[10,174],"manifestation":[11],"of":[12,68,81,146,176],"motor":[13,29,107],"signs.":[14],"Recently,":[15],"there":[16],"has":[17],"been":[18],"growing":[20],"interest":[21],"in":[22,31,92,106,170],"developing":[23],"automatic":[24],"tools":[25],"that":[26,37,164,180],"can":[27,49,168],"assess":[28],"function":[30],"PD":[32,54,69,139],"patients.":[33],"Here":[34],"we":[35,76,97,110],"show":[36],"mouse":[38,86,165],"tracking":[39,87,166],"data":[40,121,167],"collected":[41],"during":[42],"people's":[43],"interaction":[44],"search":[47],"engine":[48],"be":[50],"used":[51,136],"to":[52,103,117,122,137,192],"distinguish":[53,138],"patients":[55,140],"from":[56,70,84,141],"similar,":[57],"non-diseased":[58],"users":[59,172],"and":[60,158,179,184],"present":[61],"methodology":[63],"developed":[64],"for":[65,187],"the":[66,79,127,177,194],"diagnosis":[67],"these":[71,119],"data.":[72,88],"The":[73],"main":[74],"challenge":[75],"address":[77],"extraction":[80],"informative":[82],"features":[83,155,183],"raw":[85,120],"We":[89],"do":[90],"so":[91],"two":[93],"complementary":[94],"ways:":[95],"First,":[96],"manually":[98],"construct":[99],"expert-recommended":[100],"features,":[101,129],"aiming":[102],"identify":[104],"abnormalities":[105],"behaviors.":[108],"Second,":[109],"use":[111],"an":[112,144],"unsupervised":[113,185],"representation":[114],"learning":[115],"technique":[116],"map":[118],"high-level":[123],"features.":[124],"Using":[125],"all":[126],"extracted":[128],"Random":[131],"Forest":[132],"classifier":[133],"then":[135],"controls,":[142],"achieving":[143],"AUC":[145],"0.92,":[147],"while":[148],"results":[149,162],"using":[150],"only":[151],"expert-generated":[152,182],"or":[153],"auto-generated":[154],"are":[156,190],"0.87":[157],"0.83,":[159],"respectively.":[160],"Our":[161],"indicate":[163],"help":[169],"detecting":[171],"at":[173],"stages":[175],"both":[181],"techniques":[186],"feature":[188],"generation":[189],"required":[191],"achieve":[193],"best":[195],"possible":[196],"performance.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}