{"id":"https://openalex.org/W2794262303","doi":"https://doi.org/10.1147/jrd.2017.2756742","title":"Curating and integrating user-generated health data from multiple sources to support healthcare analytics","display_name":"Curating and integrating user-generated health data from multiple sources to support healthcare analytics","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2794262303","doi":"https://doi.org/10.1147/jrd.2017.2756742","mag":"2794262303"},"language":"en","primary_location":{"id":"doi:10.1147/jrd.2017.2756742","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2017.2756742","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","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/A5057529381","display_name":"Chris Kakkanatt","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"C. Kakkanatt","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055195047","display_name":"Michael Benigno","orcid":"https://orcid.org/0000-0002-6416-2696"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Benigno","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102017503","display_name":"Veronica Jackson","orcid":"https://orcid.org/0000-0002-1301-8440"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. M. Jackson","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032074840","display_name":"Paul L. Huang","orcid":"https://orcid.org/0000-0002-5436-8658"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. L. Huang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5070430680","display_name":"Kenney Ng","orcid":"https://orcid.org/0000-0003-0792-070X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Ng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057529381"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6288,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87367355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"62","issue":"1","first_page":"2:1","last_page":"2:7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9898999929428101,"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":0.9898999929428101,"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/T14509","display_name":"demographic modeling and climate adaptation","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12246","display_name":"Chronic Disease Management Strategies","score":0.9587000012397766,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/data-science","display_name":"Data science","score":0.7673004865646362},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6947022676467896},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6387965679168701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6272017955780029},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.5839940905570984},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5704699158668518},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5430684685707092},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5277305841445923},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.49854111671447754},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4944777488708496},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4685317873954773},{"id":"https://openalex.org/keywords/data-discovery","display_name":"Data discovery","score":0.46046894788742065},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.4525732696056366},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.42733579874038696},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4232303500175476},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3598827123641968},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29900407791137695},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.1812818944454193}],"concepts":[{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.7673004865646362},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6947022676467896},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6387965679168701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6272017955780029},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.5839940905570984},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5704699158668518},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5430684685707092},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5277305841445923},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.49854111671447754},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4944777488708496},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4685317873954773},{"id":"https://openalex.org/C2777516300","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data discovery","level":3,"score":0.46046894788742065},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.4525732696056366},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.42733579874038696},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4232303500175476},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3598827123641968},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29900407791137695},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.1812818944454193},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1147/jrd.2017.2756742","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2017.2756742","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1535520578","https://openalex.org/W1983989471","https://openalex.org/W1993119975","https://openalex.org/W2008035769","https://openalex.org/W2034626816","https://openalex.org/W2073757723","https://openalex.org/W2096945214","https://openalex.org/W2102171609","https://openalex.org/W2115387350","https://openalex.org/W2130377913","https://openalex.org/W2130471928","https://openalex.org/W2142933606","https://openalex.org/W2144333480","https://openalex.org/W2155965977","https://openalex.org/W2166865790","https://openalex.org/W2266982813","https://openalex.org/W2288244345","https://openalex.org/W2497571239","https://openalex.org/W2510708214","https://openalex.org/W4241151929","https://openalex.org/W6696516842"],"related_works":["https://openalex.org/W4285502407","https://openalex.org/W2184830246","https://openalex.org/W4220938142","https://openalex.org/W2765568996","https://openalex.org/W3129120934","https://openalex.org/W3012440071","https://openalex.org/W2064449851","https://openalex.org/W1593688782","https://openalex.org/W2095556056","https://openalex.org/W2726128299"],"abstract_inverted_index":{"As":[0],"the":[1,11,22,50,66,83],"volume":[2],"and":[3,13,28,45,75,98,109,140],"variety":[4,87],"of":[5,15,52,65,85,88,129],"healthcare-related":[6],"data":[7,17,31,55,89,93,106,111,121,136],"continue":[8],"to":[9,24,82,125],"grow,":[10],"analysis":[12],"use":[14],"this":[16],"will":[18],"increasingly":[19],"depend":[20],"on":[21],"ability":[23],"appropriately":[25],"collect,":[26],"curate,":[27],"integrate":[29],"disparate":[30],"from":[32,94,107,112,114],"many":[33],"different":[34],"sources":[35],"including":[36,91,133],"user-generated":[37],"health":[38,96],"data.":[39],"We":[40],"describe":[41],"our":[42,47],"approach":[43],"to,":[44],"highlight":[46],"experiences":[48],"with,":[49],"development":[51],"a":[53,86,127],"robust":[54],"curation":[56],"process":[57,63],"that":[58],"supports":[59],"healthcare":[60,130],"analytics.":[61],"The":[62,119],"consists":[64],"following":[67],"steps:":[68],"collection,":[69],"understanding,":[70],"validation,":[71],"cleaning,":[72],"integration,":[73],"enrichment,":[74],"storage.":[76],"It":[77],"has":[78],"been":[79,123],"successfully":[80],"applied":[81],"processing":[84],"types":[90],"clinical":[92],"electronic":[95],"records":[97],"observational":[99],"studies,":[100],"genomic":[101],"data,":[102,104],"microbiome":[103],"self-reported":[105],"surveys,":[108],"self-tracked":[110],"wearables":[113],"more":[115],"than":[116],"600":[117],"subjects.":[118],"curated":[120],"have":[122],"used":[124],"support":[126],"number":[128],"analytic":[131],"applications,":[132],"descriptive":[134],"analytics,":[135],"visualization,":[137],"patient":[138],"stratification,":[139],"predictive":[141],"modeling.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
