{"id":"https://openalex.org/W2564498768","doi":"https://doi.org/10.1109/uemcon.2016.7777890","title":"Using CART for advanced prediction of asthma attacks based on telemonitoring data","display_name":"Using CART for advanced prediction of asthma attacks based on telemonitoring data","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2564498768","doi":"https://doi.org/10.1109/uemcon.2016.7777890","mag":"2564498768"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon.2016.7777890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2016.7777890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 7th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","raw_type":"proceedings-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/A5086304704","display_name":"Joseph Finkelstein","orcid":"https://orcid.org/0000-0002-8084-7441"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joseph Finkelstein","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University New York, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001129906","display_name":"In Cheol Jeong","orcid":"https://orcid.org/0000-0001-9314-5601"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"In Cheol Jeong","raw_affiliation_strings":["Chronic Disease Informatics Program, Johns Hopkins University, Baltimore, USA"],"affiliations":[{"raw_affiliation_string":"Chronic Disease Informatics Program, Johns Hopkins University, Baltimore, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086304704"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":1.78,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89779392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10051","display_name":"Asthma and respiratory diseases","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T13283","display_name":"Mental Health Research Topics","score":0.9217000007629395,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/exacerbation","display_name":"Exacerbation","score":0.8762662410736084},{"id":"https://openalex.org/keywords/asthma-exacerbations","display_name":"Asthma exacerbations","score":0.8632611036300659},{"id":"https://openalex.org/keywords/asthma","display_name":"Asthma","score":0.8354735374450684},{"id":"https://openalex.org/keywords/cart","display_name":"Cart","score":0.8339020013809204},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6101674437522888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4360361397266388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39449912309646606},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.16878974437713623}],"concepts":[{"id":"https://openalex.org/C2777014857","wikidata":"https://www.wikidata.org/wiki/Q1383410","display_name":"Exacerbation","level":2,"score":0.8762662410736084},{"id":"https://openalex.org/C2909082789","wikidata":"https://www.wikidata.org/wiki/Q35869","display_name":"Asthma exacerbations","level":3,"score":0.8632611036300659},{"id":"https://openalex.org/C2776042228","wikidata":"https://www.wikidata.org/wiki/Q35869","display_name":"Asthma","level":2,"score":0.8354735374450684},{"id":"https://openalex.org/C2777275308","wikidata":"https://www.wikidata.org/wiki/Q234668","display_name":"Cart","level":2,"score":0.8339020013809204},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6101674437522888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4360361397266388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39449912309646606},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.16878974437713623},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon.2016.7777890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2016.7777890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 7th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","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":25,"referenced_works":["https://openalex.org/W24751200","https://openalex.org/W24762889","https://openalex.org/W65535513","https://openalex.org/W162022049","https://openalex.org/W1570725654","https://openalex.org/W1860002453","https://openalex.org/W1981396638","https://openalex.org/W1984791073","https://openalex.org/W1993517031","https://openalex.org/W2052781499","https://openalex.org/W2059474976","https://openalex.org/W2061962509","https://openalex.org/W2071227623","https://openalex.org/W2082033254","https://openalex.org/W2082285428","https://openalex.org/W2110113844","https://openalex.org/W2114610078","https://openalex.org/W2338695970","https://openalex.org/W2403286950","https://openalex.org/W6600995487","https://openalex.org/W6601023862","https://openalex.org/W6602658951","https://openalex.org/W6606712296","https://openalex.org/W6638948397","https://openalex.org/W6665966320"],"related_works":["https://openalex.org/W2902262817","https://openalex.org/W4200354030","https://openalex.org/W1968184194","https://openalex.org/W1957770986","https://openalex.org/W2803609089","https://openalex.org/W1985426726","https://openalex.org/W2366151192","https://openalex.org/W4225925351","https://openalex.org/W2330224070","https://openalex.org/W4313421893"],"abstract_inverted_index":{"Advanced":[0],"prediction":[1,48,103],"of":[2,10,15,20,49,54,87,91,104],"asthma":[3,29,43,50,64],"exacerbations":[4,107],"may":[5],"significantly":[6],"improve":[7],"patient":[8],"quality":[9],"life":[11],"and":[12,89],"reduce":[13],"costs":[14],"urgent":[16],"care":[17],"delivery.":[18],"Majority":[19],"current":[21],"algorithms":[22],"predict":[23],"who":[24],"is":[25,35],"likely":[26],"to":[27,37,58],"experience":[28],"exacerbation":[30,65],"rather":[31],"than":[32],"when":[33],"it":[34],"about":[36],"occur.":[38],"We":[39,93],"used":[40,77],"data":[41],"from":[42],"home-based":[44],"telemonitoring":[45,111],"for":[46,78,101],"advanced":[47,102],"exacerbation.":[51],"The":[52],"goal":[53],"this":[55],"project":[56],"was":[57,76],"develop":[59],"an":[60],"algorithm":[61,82],"that":[62,95],"predicts":[63],"one":[66],"day":[67],"in":[68],"advance":[69],"based":[70,108],"on":[71,109],"previous":[72],"7-day":[73],"window.":[74],"CART":[75],"predictive":[79],"modeling.":[80],"Resulting":[81],"had":[83],"specificity":[84],"0.971,":[85],"sensitivity":[86],"0.647,":[88],"accuracy":[90],"0.809.":[92],"concluded":[94],"machine":[96],"learning":[97],"has":[98],"great":[99],"potential":[100],"chronic":[105],"disease":[106],"home":[110],"data.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
