{"id":"W2890846596","doi":"10.5539/ijsp.v7n6p23","title":"Unsupervised Machine Learning for Co/Multimorbidity Analysis","year":2018,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exploratory analysis; Cluster analysis; Population; Multimorbidity; Hierarchical clustering; Unsupervised learning; Computer science; Artificial intelligence; Machine learning; Medicine; Data science; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004584603,0.0008130547,0.001154484,0.002791882,0.001020228,0.001154565,0.001566444,0.0008707507,0.001353482],"category_scores_gemma":[0.01510541,0.0003449257,0.001103882,0.002495684,0.0007059083,0.0006553833,0.001401482,0.002207076,0.0006569311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042112,"about_ca_system_score_gemma":0.002426154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007680063,"about_ca_topic_score_gemma":0.009435429,"domain_scores_codex":[0.997328,0.001578449,0.0001723295,0.0003779598,0.0003884373,0.0001548398],"domain_scores_gemma":[0.9902483,0.007073833,0.0006511474,0.0009516818,0.0009084666,0.0001666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002865267,0.0004309164,0.03662451,0.0004076746,0.0007935332,0.0002555115,0.0005403833,0.4823098,0.002194412,0.02108363,0.01051495,0.4445582],"study_design_scores_gemma":[0.00000840318,0.00002963078,0.002916784,0.00001768442,0.00001227986,0.00003499389,0.00005950567,0.976806,0.0003702094,0.01882163,0.0009045409,0.00001830742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03864325,0.000641535,0.9565032,0.0004607296,0.0000667448,0.0002683488,0.001006785,0.001269739,0.001139577],"genre_scores_gemma":[0.4782699,0.000321732,0.51617,0.000168874,0.000155817,0.0007845975,0.002389891,0.0001532623,0.001585983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007680063,"threshold_uncertainty_score":0.02424604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04998952867179129,"score_gpt":0.3710274162771394,"score_spread":0.3210378876053481,"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."}}