{"id":"https://openalex.org/W7155617596","doi":"https://doi.org/10.1186/s12911-026-03495-0","title":"Predicting disease outcomes from remote monitoring using machine learning: a systematic review","display_name":"Predicting disease outcomes from remote monitoring using machine learning: a systematic review","publication_year":2026,"publication_date":"2026-04-25","ids":{"openalex":"https://openalex.org/W7155617596","doi":"https://doi.org/10.1186/s12911-026-03495-0","pmid":"https://pubmed.ncbi.nlm.nih.gov/42035089"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-026-03495-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-026-03495-0","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12911-026-03495-0.pdf","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s12911-026-03495-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094161034","display_name":"Jonas Wolber","orcid":"https://orcid.org/0009-0005-3385-5528"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jonas Wolber","raw_affiliation_strings":["Institute for Digitalization and General Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany. jwolber@ukaachen.de","Joint Research Center for Computational Biomedicine, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany. jwolber@ukaachen.de"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Digitalization and General Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany. jwolber@ukaachen.de","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Joint Research Center for Computational Biomedicine, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany. jwolber@ukaachen.de","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059221195","display_name":"Andreas Schuppert","orcid":"https://orcid.org/0000-0003-3783-6605"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Schuppert","raw_affiliation_strings":["Joint Research Center for Computational Biomedicine, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint Research Center for Computational Biomedicine, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105892789","display_name":"Martin M\u00fccke","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin M\u00fccke","raw_affiliation_strings":["Center for Rare Diseases Aachen, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany","Institute for Digitalization and General Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Rare Diseases Aachen, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institute for Digitalization and General Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005291290","display_name":"Julia Sellin","orcid":"https://orcid.org/0000-0001-5354-2872"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Julia Sellin","raw_affiliation_strings":["Center for Rare Diseases Aachen, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany. jsellin@ukaachen.de","Institute for Digitalization and General Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany. jsellin@ukaachen.de"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Rare Diseases Aachen, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany. jsellin@ukaachen.de","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institute for Digitalization and General Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstra\u00dfe 30, 52074, Aachen, Germany. jsellin@ukaachen.de","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5005291290","https://openalex.org/A5094161034"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2718894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.1378999948501587,"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":0.1378999948501587,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.10670000314712524,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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":0.06199999898672104,"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/health-informatics","display_name":"Health informatics","score":0.5913000106811523},{"id":"https://openalex.org/keywords/telemedicine","display_name":"Telemedicine","score":0.34610000252723694},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.336899995803833},{"id":"https://openalex.org/keywords/remote-patient-monitoring","display_name":"Remote patient monitoring","score":0.3212999999523163},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.32109999656677246}],"concepts":[{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.5913000106811523},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.46860000491142273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4438000023365021},{"id":"https://openalex.org/C2779891985","wikidata":"https://www.wikidata.org/wiki/Q46994","display_name":"Telemedicine","level":3,"score":0.34610000252723694},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.3147999942302704},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3059999942779541},{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C3018877446","wikidata":"https://www.wikidata.org/wiki/Q1421432","display_name":"Disease monitoring","level":3,"score":0.26579999923706055},{"id":"https://openalex.org/C2780877353","wikidata":"https://www.wikidata.org/wiki/Q2518253","display_name":"Health services research","level":3,"score":0.2590000033378601},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25360000133514404}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000097103","descriptor_name":"Digital Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000097103","descriptor_name":"Digital Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000097103","descriptor_name":"Digital Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098412","descriptor_name":"Predictive Learning Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098412","descriptor_name":"Predictive Learning Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098412","descriptor_name":"Predictive Learning Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098465","descriptor_name":"Remote Patient Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098465","descriptor_name":"Remote Patient Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098465","descriptor_name":"Remote Patient Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002908","descriptor_name":"Chronic Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002908","descriptor_name":"Chronic Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002908","descriptor_name":"Chronic Disease","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":"D006801","descriptor_name":"Humans","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":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12911-026-03495-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-026-03495-0","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12911-026-03495-0.pdf","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:42035089","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42035089","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,"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":"BMC medical informatics and decision making","raw_type":"Journal Article"},{"id":"pmh:oai:publications.rwth-aachen.de:1035970","is_oa":true,"landing_page_url":"https://publications.rwth-aachen.de/record/1035970","pdf_url":"https://publications.rwth-aachen.de/record/1035970/files/1035970.pdf","source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"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":"BMC medical informatics and decision making 26(1), 145 (2026). doi:10.1186/s12911-026-03495-0","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:36c10ff3fafe488b92187b9af83bccc9","is_oa":true,"landing_page_url":"https://doaj.org/article/36c10ff3fafe488b92187b9af83bccc9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 26, Iss 1 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13126998","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13126998/","pdf_url":null,"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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-026-03495-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-026-03495-0","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12911-026-03495-0.pdf","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324232","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7155617596.pdf","grobid_xml":"https://content.openalex.org/works/W7155617596.grobid-xml"},"referenced_works_count":103,"referenced_works":["https://openalex.org/W43003442","https://openalex.org/W1949063268","https://openalex.org/W1975379468","https://openalex.org/W1979332100","https://openalex.org/W1984512869","https://openalex.org/W2013189577","https://openalex.org/W2037389907","https://openalex.org/W2078034341","https://openalex.org/W2095134828","https://openalex.org/W2130004426","https://openalex.org/W2130655654","https://openalex.org/W2142817672","https://openalex.org/W2189191765","https://openalex.org/W2282457480","https://openalex.org/W2314900475","https://openalex.org/W2331357155","https://openalex.org/W2518916291","https://openalex.org/W2535526999","https://openalex.org/W2560136348","https://openalex.org/W2576160625","https://openalex.org/W2582128107","https://openalex.org/W2593440937","https://openalex.org/W2604383457","https://openalex.org/W2739349903","https://openalex.org/W2753992645","https://openalex.org/W2770713291","https://openalex.org/W2778746938","https://openalex.org/W2789914560","https://openalex.org/W2790444357","https://openalex.org/W2791256585","https://openalex.org/W2791600159","https://openalex.org/W2799920462","https://openalex.org/W2884111251","https://openalex.org/W2888208815","https://openalex.org/W2894527383","https://openalex.org/W2895902509","https://openalex.org/W2898712867","https://openalex.org/W2899937116","https://openalex.org/W2907554860","https://openalex.org/W2946078250","https://openalex.org/W2951704914","https://openalex.org/W2953389871","https://openalex.org/W2967208919","https://openalex.org/W2975006071","https://openalex.org/W2990845518","https://openalex.org/W3006492268","https://openalex.org/W3006524040","https://openalex.org/W3007492756","https://openalex.org/W3012064747","https://openalex.org/W3031241991","https://openalex.org/W3080165374","https://openalex.org/W3080638738","https://openalex.org/W3082581423","https://openalex.org/W3092837942","https://openalex.org/W3093155618","https://openalex.org/W3097748206","https://openalex.org/W3139198151","https://openalex.org/W3178109510","https://openalex.org/W3199209184","https://openalex.org/W3206840963","https://openalex.org/W3206851770","https://openalex.org/W3207287008","https://openalex.org/W3208480208","https://openalex.org/W3214881260","https://openalex.org/W4200026682","https://openalex.org/W4200143831","https://openalex.org/W4224217719","https://openalex.org/W4234106400","https://openalex.org/W4282942560","https://openalex.org/W4283590956","https://openalex.org/W4283593236","https://openalex.org/W4307974893","https://openalex.org/W4308696024","https://openalex.org/W4309852293","https://openalex.org/W4313646859","https://openalex.org/W4318706530","https://openalex.org/W4319069695","https://openalex.org/W4321183071","https://openalex.org/W4321385665","https://openalex.org/W4323652724","https://openalex.org/W4362572058","https://openalex.org/W4367393417","https://openalex.org/W4384699979","https://openalex.org/W4385968534","https://openalex.org/W4387087216","https://openalex.org/W4387809421","https://openalex.org/W4388517949","https://openalex.org/W4388572266","https://openalex.org/W4389037480","https://openalex.org/W4390707010","https://openalex.org/W4391616844","https://openalex.org/W4391751277","https://openalex.org/W4392791588","https://openalex.org/W4394857110","https://openalex.org/W4395665411","https://openalex.org/W4396531679","https://openalex.org/W4398764429","https://openalex.org/W4399357599","https://openalex.org/W4402054730","https://openalex.org/W4402694177","https://openalex.org/W4403277330","https://openalex.org/W4403533688","https://openalex.org/W4404372093"],"related_works":[],"abstract_inverted_index":{"BACKGROUND:":[0],"Chronic":[1],"conditions":[2,87,210],"cause":[3],"millions":[4],"of":[5,40,85,118,127,232,264],"deaths":[6],"annually":[7],"worldwide.":[8],"Remote":[9],"patient":[10,256],"monitoring":[11,250],"using":[12,175],"wearable":[13],"devices":[14,154],"and":[15,32,37,58,74,105,147,173,184,200,214,222,236,242,260,273],"sensors,":[16,159],"combined":[17],"with":[18,160,191],"machine":[19],"learning":[20],"(ML),":[21],"offers":[22],"promising":[23],"strategies":[24],"for":[25,55,67,96,278],"disease":[26,83,139,151,207],"management.":[27],"However,":[28,267],"diverse":[29],"methodological":[30,132],"approaches":[31],"study":[33],"designs":[34],"impede":[35],"comparability":[36],"the":[38,51,135,156,164,252,280],"development":[39],"best":[41],"practice":[42],"guidelines.":[43,61],"METHODS:":[44],"A":[45],"systematic":[46],"review":[47,196],"was":[48,140],"conducted":[49],"following":[50],"Preferred":[52],"Reporting":[53],"Items":[54],"Systematic":[56],"reviews":[57],"Meta-Analyses":[59],"(PRISMA)":[60],"Four":[62],"scientific":[63],"databases":[64],"were":[65,94,120,155,170,187],"searched":[66],"relevant":[68],"prospective":[69],"studies":[70,93,119,174],"published":[71],"between":[72],"2014":[73],"2024.":[75],"Studies":[76],"had":[77],"to":[78,81,122,131,205,254],"use":[79],"ML":[80,204],"predict":[82],"outcomes":[84],"chronic":[86,148,206,265],"in":[88,134,202,270],"remotely":[89],"monitored":[90,103],"patients.":[91],"The":[92],"tagged":[95],"characteristics":[97],"such":[98,219],"as":[99,220],"health":[100],"outcomes,":[101],"dataset,":[102],"parameters,":[104],"algorithms.":[106],"RESULTS:":[107],"From":[108],"6668":[109],"initially":[110],"identified":[111],"studies,":[112],"76":[113],"met":[114],"inclusion":[115],"criteria.":[116],"73.7%":[117],"considered":[121],"have":[123],"a":[124],"high":[125],"risk":[126],"bias,":[128],"mainly":[129],"due":[130],"shortcomings":[133],"Analysis":[136],"domain.":[137],"Parkinson\u2019s":[138],"most":[141,165,171],"frequently":[142],"monitored,":[143],"followed":[144],"by":[145],"diabetes":[146,215],"obstructive":[149],"pulmonary":[150],"(COPD).":[152],"Wearable":[153],"predominant":[157],"remote":[158,249],"accelerometer":[161],"data":[162,240],"being":[163],"common":[166],"parameter.":[167],"Tree-based":[168],"algorithms":[169],"frequent,":[172],"leave-one-out":[176],"cross-validation":[177],"showed":[178],"significantly":[179,189],"higher":[180],"accuracy.":[181],"Feature":[182],"engineering":[183],"publication":[185],"year":[186],"also":[188],"associated":[190],"model":[192,234],"performance.":[193],"CONCLUSION:":[194],"This":[195],"highlights":[197],"both":[198],"progress":[199],"challenges":[201,269],"applying":[203],"monitoring.":[208],"While":[209],"like":[211],"Parkinson\u2019s,":[212],"COPD,":[213],"are":[216,225],"well-represented,":[217],"others":[218],"liver":[221],"kidney":[223],"diseases":[224],"underexplored.":[226],"Future":[227],"research":[228],"should":[229],"prioritize":[230],"standardization":[231],"methodologies,":[233],"interpretability,":[235],"ethical":[237],"considerations":[238],"including":[239],"privacy":[241],"algorithmic":[243],"fairness.":[244],"When":[245],"properly":[246],"implemented,":[247],"ML-driven":[248],"has":[251],"potential":[253],"enhance":[255],"care,":[257],"reduce":[258],"complications,":[259],"deepen":[261],"our":[262],"understanding":[263],"conditions.":[266],"addressing":[268],"reproducibility,":[271],"generalizability,":[272],"clinical":[274],"integration":[275],"is":[276],"crucial":[277],"advancing":[279],"field.":[281]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2026-04-26T00:00:00"}
