{"id":"W3173478665","doi":"","title":"Cardio Vascular Ailments Prediction and Analysis Based On Deep Learning Techniques","year":2021,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Computer science; Artificial intelligence; Random forest; Machine learning; Measure (data warehouse); Classifier (UML); Data mining","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":[0.0004044205,0.0004771251,0.0004460297,0.001149851,0.0001943274,0.0005887662,0.000455819,0.0005057636,0.001589913],"category_scores_gemma":[0.0009187033,0.0002256406,0.0006629391,0.0006219444,0.0001404031,0.0004857453,0.0003370208,0.0007632647,0.0003646712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004311368,"about_ca_system_score_gemma":0.0005965002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006887475,"about_ca_topic_score_gemma":0.007827105,"domain_scores_codex":[0.9998197,0.00002527766,0.00001622223,0.00003908358,0.00006161536,0.00003817268],"domain_scores_gemma":[0.9996482,0.0001358374,0.00004761798,0.00002228802,0.0001260147,0.00002002257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002881602,0.0005722808,0.04337536,0.0002314052,0.0002416822,0.0005120991,0.0001252888,0.3832831,0.02004997,0.003144903,0.006030384,0.5421454],"study_design_scores_gemma":[0.000005422857,0.00006167968,0.005496873,0.00001671476,0.00001996658,0.00008088571,0.0000158953,0.9897709,0.002637177,0.00132705,0.0005582323,0.000009284809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2526996,0.002036589,0.7355657,0.0008499387,0.0001346878,0.0001216372,0.001222248,0.001874934,0.005494605],"genre_scores_gemma":[0.9206197,0.0009214912,0.07233793,0.0001291224,0.00005638109,0.0000978782,0.0009635463,0.00004160144,0.004832378],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006887475,"threshold_uncertainty_score":0.01369476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07552928889282962,"score_gpt":0.4390196602435789,"score_spread":0.3634903713507492,"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."}}