{"id":"W4404239794","doi":"10.3390/electronics13224405","title":"Health Risk Assessment Using Machine Learning: Systematic Review","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canada First Research Excellence Fund","keywords":"Computer science; Risk assessment; Systematic review; Artificial intelligence; Machine learning; Risk analysis (engineering); Engineering; Medicine; MEDLINE; Political science; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01910155,0.001876348,0.007062993,0.01169736,0.0006249772,0.003077686,0.002340805,0.002016335,0.006059667],"category_scores_gemma":[0.1053582,0.001034873,0.01083579,0.01038157,0.0009567236,0.003250374,0.001767345,0.001733287,0.0005341312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004690574,"about_ca_system_score_gemma":0.01332743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008381583,"about_ca_topic_score_gemma":0.01803733,"domain_scores_codex":[0.9837051,0.00757344,0.004426158,0.001036782,0.002988363,0.0002702941],"domain_scores_gemma":[0.8922264,0.09411331,0.007900982,0.001278012,0.004147944,0.0003334656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001246862,0.00002514286,0.0009852659,0.9113443,0.01064364,0.00005761413,0.0001131794,0.0005308283,0.00004527968,0.0004529482,0.002553712,0.07312348],"study_design_scores_gemma":[0.0001522144,0.0001162858,0.002231075,0.9439461,0.03613636,0.0001766078,0.0001167582,0.0005321337,0.0001238045,0.00107752,0.01534378,0.00004734107],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005176635,0.9965774,0.0009556076,0.0005790407,0.000123708,0.0004703486,0.0004646623,0.00002724808,0.0002843726],"genre_scores_gemma":[0.0158017,0.9792956,0.002626657,0.0007483102,0.000146235,0.0009288727,0.0003331588,0.00001232571,0.0001070166],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01910155,"threshold_uncertainty_score":0.1010199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1236808230163469,"score_gpt":0.5284848871635844,"score_spread":0.4048040641472375,"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."}}