{"id":"W3163066678","doi":"10.2196/27466","title":"Enabling Wearable Pulse Transit Time-Based Blood Pressure Estimation for Medically Underserved Areas and Health Equity: Comprehensive Evaluation Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Photoplethysmogram; Blood pressure; Medicine; Population; Wearable computer; Wrist; Wearable technology; Computer science; Physical medicine and rehabilitation; Internal medicine; Surgery; Telecommunications; Embedded system","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":[0.005901759,0.0005806618,0.0005549639,0.0006381217,0.0003607399,0.000841109,0.0003802737,0.0005877892,0.001252444],"category_scores_gemma":[0.007756211,0.0001833729,0.001055081,0.0006226381,0.0003550444,0.0008650878,0.001019305,0.0003888239,0.000211337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008274746,"about_ca_system_score_gemma":0.001613641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009025348,"about_ca_topic_score_gemma":0.01246378,"domain_scores_codex":[0.9985231,0.0007735346,0.0001035708,0.0001365617,0.0002759488,0.0001873856],"domain_scores_gemma":[0.9963707,0.000993171,0.0007131072,0.0002472965,0.001176486,0.0004992047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007800258,0.009747799,0.8071698,0.000814722,0.001199389,0.0001580013,0.001042926,0.002285557,0.001482817,0.0005352079,0.003742576,0.164021],"study_design_scores_gemma":[0.001256607,0.03059417,0.9492508,0.0002902671,0.001463674,0.0001992632,0.001514354,0.01113536,0.0008777832,0.0002671425,0.003088006,0.00006268242],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995497,0.000446266,0.001030168,0.000176615,0.00001465772,0.0009097434,0.000899658,0.00003495442,0.0009909483],"genre_scores_gemma":[0.9939916,0.0004572114,0.002973208,0.0001434177,0.00002527423,0.0008995954,0.001216743,0.000005779624,0.0002871854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009025348,"threshold_uncertainty_score":0.03121185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087718247160096,"score_gpt":0.382792977299019,"score_spread":0.2740211525830094,"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."}}