{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001961743,0.0003042688,0.001331349,0.0006579284,0.0003801365,0.0001181794,0.0001667681,0.00008475915,0.0002214945],"category_scores_gemma":[0.0004410202,0.0002729277,0.0003066968,0.0008391711,0.0001158094,0.0001878855,0.0001187928,0.002293942,0.0001212885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003600285,"about_ca_system_score_gemma":0.001476748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001196326,"about_ca_topic_score_gemma":0.00003313511,"domain_scores_codex":[0.9959002,0.000714796,0.002110675,0.000407093,0.0003988194,0.0004683775],"domain_scores_gemma":[0.997883,0.0005601525,0.0006740617,0.0002836377,0.00009845645,0.0005006752],"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":[0.00001681047,0.0001892656,0.0004349346,0.004885538,0.00001573166,0.00002078206,0.0004196631,0.000005752925,1.21531e-7,0.00007529071,0.0005028432,0.9934332],"study_design_scores_gemma":[0.00001413823,0.000733593,0.00003405874,0.004103373,0.00003553053,0.002423758,0.0008715997,0.00002395898,0.000001001008,0.0002573258,0.9913316,0.0001700653],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001071284,0.9949121,0.0005736193,0.002520874,0.0002271582,0.001139745,0.00004382673,0.00004056088,0.0004349249],"genre_scores_gemma":[0.003210104,0.9946331,0.000667737,0.0003562289,0.0006517027,0.00003184424,0.0001739415,0.0000904051,0.0001849625],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9932632,"threshold_uncertainty_score":0.9999723,"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."}}