{"id":"W2969569798","doi":"10.2196/13353","title":"Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; Georgia Clinical and Translational Science Alliance","keywords":"Medicine; Digital health; Vital signs; Health care; Medical emergency; Heart failure; Telemedicine; Blood pressure; Emergency medicine; Internal medicine; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005765087,0.0004723888,0.0003831949,0.00072085,0.0005660831,0.0009342916,0.0005201252,0.0006527188,0.001932896],"category_scores_gemma":[0.01386365,0.0002620904,0.001198486,0.0004597356,0.0004482298,0.001033347,0.001150052,0.0009600007,0.0003004049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000611518,"about_ca_system_score_gemma":0.00112938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00174478,"about_ca_topic_score_gemma":0.001972421,"domain_scores_codex":[0.9960938,0.002186425,0.0003644572,0.0003952791,0.0006176737,0.0003423],"domain_scores_gemma":[0.9925084,0.002748827,0.002081315,0.0006201349,0.0007838181,0.001257547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009318047,0.05716178,0.8596055,0.0002237199,0.0005506605,0.0001669151,0.002086175,0.0004008106,0.000994774,0.0001199872,0.000840355,0.06853128],"study_design_scores_gemma":[0.002081488,0.04405868,0.9496801,0.00003596248,0.0002683439,0.00009807562,0.001042027,0.001396807,0.0005657013,0.00006771101,0.0006757498,0.00002936396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984854,0.00002909534,0.0001467629,0.0001000233,0.00001044413,0.0005125126,0.0001464877,0.000009413725,0.0005598511],"genre_scores_gemma":[0.9979578,0.00005200019,0.000646744,0.0001124725,0.00002610476,0.0007561788,0.0001912583,0.000003201529,0.0002542747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005765087,"threshold_uncertainty_score":0.03048903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311464349002793,"score_gpt":0.3615626994470473,"score_spread":0.330416264546768,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}