{"id":"W4280518374","doi":"10.1093/ehjdh/ztac025","title":"Applications of artificial intelligence and machine learning in heart failure","year":2022,"lang":"en","type":"review","venue":"European Heart Journal - Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; Population Health Research Institute; McMaster University","funders":"","keywords":"Medicine; Artificial intelligence; Machine learning; Raw data; Cardiac decompensation; Decompensation; Health care; Heart failure; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001936615,0.0008917404,0.001655128,0.003277819,0.0003190919,0.001466899,0.0007546501,0.00202597,0.003232928],"category_scores_gemma":[0.003561099,0.000333763,0.001104934,0.002895846,0.001169272,0.001899629,0.00111213,0.003276703,0.001222279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045541,"about_ca_system_score_gemma":0.001726849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362676,"about_ca_topic_score_gemma":0.001641693,"domain_scores_codex":[0.9989859,0.0003652814,0.0001478472,0.000110686,0.000338845,0.00005149994],"domain_scores_gemma":[0.9967808,0.002658538,0.0001454317,0.00006708643,0.0002941692,0.00005394198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004492622,0.0000699651,0.0002645898,0.02937428,0.0002420323,0.0001469633,0.0001315134,0.001069741,0.0004960043,0.02301072,0.01461217,0.9305371],"study_design_scores_gemma":[0.00002845348,0.0001593958,0.002525228,0.0265307,0.0002338058,0.001340851,0.0001700407,0.000634075,0.0005487904,0.02731667,0.9404506,0.00006138882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008634243,0.9974463,0.0003830496,0.0006875899,0.0002116154,0.000006982071,0.000008954151,0.0000065947,0.001162623],"genre_scores_gemma":[0.00121403,0.9974117,0.0004847196,0.0003770709,0.0002482696,0.00001168937,0.00001362239,0.000002347592,0.0002366916],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003277819,"threshold_uncertainty_score":0.0108152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3049971717223502,"score_gpt":0.462322124839359,"score_spread":0.1573249531170087,"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."}}