{"id":"https://openalex.org/W4415985148","doi":"https://doi.org/10.1038/s41440-025-02444-0","title":"Predicting measurement continuity in home blood pressure monitoring using machine learning","display_name":"Predicting measurement continuity in home blood pressure monitoring using machine learning","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W4415985148","doi":"https://doi.org/10.1038/s41440-025-02444-0","pmid":"https://pubmed.ncbi.nlm.nih.gov/41203852","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/12960215"},"language":"en","primary_location":{"id":"doi:10.1038/s41440-025-02444-0","doi":"https://doi.org/10.1038/s41440-025-02444-0","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41440-025-02444-0","pdf_url":"https://www.nature.com/articles/s41440-025-02444-0.pdf","source":{"id":"https://openalex.org/S67902008","display_name":"Hypertension Research","issn_l":"0916-9636","issn":["0916-9636","1348-4214"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hypertension Research","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.nature.com/articles/s41440-025-02444-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Asami Matsumoto","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I4405269902","display_name":"OMRON Healthcare Co., Ltd. (Japan)","ror":"https://ror.org/05jy5pk94","country_code":"JP","type":"company","lineage":["https://openalex.org/I4405269902"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Asami Matsumoto","raw_affiliation_strings":["Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan","Omron Healthcare Co., Ltd., Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Omron Healthcare Co., Ltd., Kyoto, Japan","institution_ids":["https://openalex.org/I4405269902"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060565230","display_name":"Yohei Mineharu","orcid":"https://orcid.org/0000-0002-6346-3999","observed_orcids":["https://orcid.org/0000-0002-6346-3999"]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yohei Mineharu","raw_affiliation_strings":["Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan","Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033616120","display_name":"Hirohiko Kohjitani","orcid":"https://orcid.org/0000-0002-8281-8396","observed_orcids":["https://orcid.org/0000-0002-8281-8396"]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirohiko Kohjitani","raw_affiliation_strings":["Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan","Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058784291","display_name":"Hiroshi Koshimizu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I4405269902","display_name":"OMRON Healthcare Co., Ltd. (Japan)","ror":"https://ror.org/05jy5pk94","country_code":"JP","type":"company","lineage":["https://openalex.org/I4405269902"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Koshimizu","raw_affiliation_strings":["Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan","Omron Healthcare Co., Ltd., Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Omron Healthcare Co., Ltd., Kyoto, Japan","institution_ids":["https://openalex.org/I4405269902"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046211758","display_name":"Yasushi Okuno","orcid":"https://orcid.org/0000-0003-3596-4208","observed_orcids":["https://orcid.org/0000-0003-3596-4208"]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yasushi Okuno","raw_affiliation_strings":["Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan. okuno.yasushi.4c@kyoto-u.ac.jp","Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan. okuno.yasushi.4c@kyoto-u.ac.jp","Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan. okuno.yasushi.4c@kyoto-u.ac.jp","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan. okuno.yasushi.4c@kyoto-u.ac.jp","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046211758"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":2.9647,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91631521,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"49","issue":"3","first_page":"852","last_page":"862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11446","display_name":"Mobile Health and mHealth Applications","score":0.3944999873638153,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11446","display_name":"Mobile Health and mHealth Applications","score":0.3944999873638153,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10144","display_name":"Blood Pressure and Hypertension Studies","score":0.37400001287460327,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0812000036239624,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/home-blood-pressure-monitoring","display_name":"home blood pressure monitoring","score":0.9850000143051147},{"id":"https://openalex.org/keywords/hypertension","display_name":"hypertension","score":0.6990000009536743},{"id":"https://openalex.org/keywords/student-dropout-prediction","display_name":"student dropout prediction","score":0.6159999966621399},{"id":"https://openalex.org/keywords/risk-factors-for-non-adherence","display_name":"risk factors for non-adherence","score":0.6650000214576721},{"id":"https://openalex.org/keywords/cardiovascular-risk","display_name":"cardiovascular risk","score":0.367000013589859}],"concepts":[{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.7207000255584717},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6723999977111816},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5770999789237976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.532800018787384},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4830999970436096},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.47690001130104065},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.4763000011444092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46700000762939453},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3555000126361847},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.35350000858306885},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.3416999876499176},{"id":"https://openalex.org/C50440223","wikidata":"https://www.wikidata.org/wiki/Q1475848","display_name":"Risk factor","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.2822999954223633},{"id":"https://openalex.org/C3018284874","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Cardiovascular health","level":3,"score":0.272599995136261},{"id":"https://openalex.org/C198433322","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value of tests","level":2,"score":0.25699999928474426}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006973","descriptor_name":"Hypertension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010349","descriptor_name":"Patient Compliance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018660","descriptor_name":"Blood Pressure Monitoring, Ambulatory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1038/s41440-025-02444-0","doi":"https://doi.org/10.1038/s41440-025-02444-0","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41440-025-02444-0","pdf_url":"https://www.nature.com/articles/s41440-025-02444-0.pdf","source":{"id":"https://openalex.org/S67902008","display_name":"Hypertension Research","issn_l":"0916-9636","issn":["0916-9636","1348-4214"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hypertension Research","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12960215","doi":null,"is_oa":true,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41203852/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12960215/pdf/41440_2025_Article_2444.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hypertens Res","raw_type":"Text"},{"id":"pmid:41203852","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41203852","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hypertension research : official journal of the Japanese Society of Hypertension","raw_type":"Journal Article"},{"id":"pmh:oai:irdb.nii.ac.jp:01221:0007265532","doi":null,"is_oa":true,"landing_page_url":"https://repository.kulib.kyoto-u.ac.jp/bitstreams/1e3c8362-cb33-4720-a4c2-14941501653f/download","pdf_url":"https://repository.kulib.kyoto-u.ac.jp/bitstreams/1e3c8362-cb33-4720-a4c2-14941501653f/download","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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":"Hypertension Research","raw_type":"journal article"},{"id":"pmh:oai:repository.kulib.kyoto-u.ac.jp:2433/299746","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2433/299746","pdf_url":null,"source":{"id":"https://openalex.org/S4306401454","display_name":"Kyoto University Research Information Repository (Kyoto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I22299242","host_organization_name":"Kyoto University","host_organization_lineage":["https://openalex.org/I22299242"],"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":null,"raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1038/s41440-025-02444-0","doi":"https://doi.org/10.1038/s41440-025-02444-0","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41440-025-02444-0","pdf_url":"https://www.nature.com/articles/s41440-025-02444-0.pdf","source":{"id":"https://openalex.org/S67902008","display_name":"Hypertension Research","issn_l":"0916-9636","issn":["0916-9636","1348-4214"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hypertension Research","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":1.0,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316484","display_name":"Omron Healthcare","ror":"https://ror.org/05jy5pk94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415985148.pdf","grobid_xml":"https://content.openalex.org/works/W4415985148.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2021036790","https://openalex.org/W2031201873","https://openalex.org/W2126335261","https://openalex.org/W2168844630","https://openalex.org/W2295598076","https://openalex.org/W2474187140","https://openalex.org/W2481138879","https://openalex.org/W2618851150","https://openalex.org/W2618851899","https://openalex.org/W2620244105","https://openalex.org/W2670643325","https://openalex.org/W2883075826","https://openalex.org/W2911964244","https://openalex.org/W2955071302","https://openalex.org/W2961838488","https://openalex.org/W2978342502","https://openalex.org/W3081759464","https://openalex.org/W3122149192","https://openalex.org/W3191904684","https://openalex.org/W3193823764","https://openalex.org/W3198531566","https://openalex.org/W3202544733","https://openalex.org/W4206763313","https://openalex.org/W4321997040","https://openalex.org/W4386796755","https://openalex.org/W4400768912"],"related_works":["https://openalex.org/W2053326163","https://openalex.org/W4310282125","https://openalex.org/W3215843713","https://openalex.org/W4410587593","https://openalex.org/W4205686514","https://openalex.org/W3011542848","https://openalex.org/W4392983253","https://openalex.org/W7129258012","https://openalex.org/W4410587688","https://openalex.org/W4417439329"],"abstract_inverted_index":{"Hypertension":[0],"is":[1,21,181],"a":[2,37,62,76,158,164,200,209],"leading":[3],"risk":[4,48],"factor":[5],"for":[6,23,50,58,113],"cardiovascular":[7],"diseases,":[8],"thereby":[9,56],"necessitating":[10],"effective":[11],"management":[12],"through":[13,231],"regular":[14],"blood":[15,146,244],"pressure":[16,147,245],"monitoring.":[17],"Although":[18],"home":[19],"monitoring":[20,241],"beneficial":[22],"managing":[24],"hypertension,":[25],"maintaining":[26],"consistent":[27],"measurement":[28,41,67,90,204],"frequency":[29,205],"remains":[30],"challenging.":[31],"This":[32,176],"study":[33],"aimed":[34],"to":[35,39,44,83,88,207,225,239],"develop":[36],"model":[38,82,96,217],"predict":[40,84],"inactivity":[42,86],"and":[43,92,111,115,131,135,170,230,243],"identify":[45,219],"clinically":[46],"relevant":[47],"factors":[49,221],"declining":[51],"adherence":[52,242],"using":[53],"machine":[54],"learning,":[55],"allowing":[57],"targeted":[59],"interventions.":[60],"Using":[61],"large-scale":[63],"dataset":[64],"(>199":[65],"million":[66],"records)":[68],"from":[69],"295,758":[70],"health":[71],"app":[72],"users,":[73],"we":[74],"employed":[75],"LightGBM":[77],"(Light":[78],"Gradient":[79],"Boosting":[80],"Machine)":[81],"future":[85,213],"according":[87],"2-week":[89,152],"patterns":[91],"users'":[93],"demographics.":[94],"The":[95,143],"demonstrated":[97],"high":[98,171],"predictive":[99],"accuracy,":[100],"with":[101],"areas":[102],"under":[103],"the":[104,151,174],"receiver":[105],"operating":[106],"characteristic":[107],"curve":[108],"of":[109,161,212],"0.930":[110],"0.851":[112],"28-":[114],"56-day":[116],"predictions,":[117],"respectively.":[118],"SHAP":[119],"(SHapley":[120],"Additive":[121],"exPlanations)":[122],"analysis":[123],"revealed":[124],"elevated":[125],"dropout":[126,192,220],"risks":[127],"among":[128],"both":[129,168],"younger":[130],"older":[132],"participants,":[133],"women,":[134],"users":[136],"who":[137],"did":[138],"not":[139],"report":[140],"sex":[141],"information.":[142],"maximum":[144,177],"systolic":[145],"(SBP)":[148],"recorded":[149],"during":[150],"period":[153],"was":[154],"also":[155],"identified":[156],"as":[157],"significant":[159],"predictor":[160,211],"dropout,":[162],"showing":[163],"U-shaped":[165],"association":[166],"wherein":[167],"low":[169],"extremes":[172],"increased":[173],"risk.":[175],"SBP":[178],"value,":[179],"which":[180],"rarely":[182],"used":[183],"in":[184,202],"routine":[185],"clinical":[186,237],"assessments,":[187],"offered":[188],"unique":[189],"insights":[190],"into":[191],"behavior,":[193],"further":[194],"supported":[195],"by":[196,227],"descriptive":[197],"statistics.":[198],"Additionally,":[199],"reduction":[201],"weekday":[203],"showed":[206],"be":[208],"major":[210],"discontinuation.":[214],"Therefore,":[215],"our":[216],"can":[218],"that":[222],"are":[223],"difficult":[224],"detect":[226],"conventional":[228],"methods,":[229],"accurate":[232],"prediction,":[233],"it":[234],"supports":[235],"early":[236],"interventions":[238],"improve":[240],"control.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-11-07T00:00:00"}
