{"id":"W4411360509","doi":"10.32628/ijsrst2302551","title":"Machine Learning Efforts That Enhance Personalized Patient Care and Chronic Disease Management","year":2022,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Science and Technology","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Computer science; Medicine; Disease management; Intensive care medicine; Disease; Internal medicine","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":[0.007979626,0.0006045002,0.0007277954,0.001262747,0.0004432417,0.002177371,0.001166875,0.001861366,0.002768896],"category_scores_gemma":[0.0155112,0.0002404215,0.0008877867,0.001407702,0.001722123,0.003015037,0.002556413,0.003607279,0.0009301605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869675,"about_ca_system_score_gemma":0.004406388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675609,"about_ca_topic_score_gemma":0.001672432,"domain_scores_codex":[0.9976963,0.001227335,0.0001136512,0.0003385089,0.0004791842,0.000144944],"domain_scores_gemma":[0.9932691,0.004847542,0.0004539039,0.0005911037,0.0005869583,0.0002513803],"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":[0.00008700689,0.0002566694,0.00452445,0.002502145,0.0003170644,0.00008742268,0.0004796681,0.0239525,0.001410469,0.2835082,0.02398452,0.6588899],"study_design_scores_gemma":[0.00009120072,0.0003879671,0.006029218,0.003878106,0.0002698521,0.0003290947,0.0004242382,0.04745961,0.003322007,0.4825225,0.4551765,0.0001097743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02329091,0.2064818,0.5021446,0.2007787,0.003079694,0.0004059146,0.0007852016,0.001526382,0.06150678],"genre_scores_gemma":[0.4589413,0.2460473,0.2516626,0.02940712,0.005438196,0.0005872117,0.0008448633,0.0001735432,0.006897856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007979626,"threshold_uncertainty_score":0.0422008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03285508239697509,"score_gpt":0.3814730328483125,"score_spread":0.3486179504513374,"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."}}