{"id":"W2140617045","doi":"","title":"Application of data mining techniques for medical image classification","year":2001,"lang":"en","type":"article","venue":"ACM Multimedia","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":311,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Association rule learning; Computer science; Categorization; Mammography; Data mining; Breast cancer; Artificial intelligence; Artificial neural network; Anomaly detection; Contextual image classification; Pattern recognition (psychology); Image (mathematics); Machine learning; Cancer; 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":[0.00246669,0.0006650204,0.000994207,0.005502011,0.0006377185,0.002182742,0.001287781,0.001127631,0.001796026],"category_scores_gemma":[0.008841845,0.0003450267,0.001142432,0.00454287,0.0005483444,0.001156868,0.0008992943,0.001402356,0.001075799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004961986,"about_ca_system_score_gemma":0.0008512942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293311,"about_ca_topic_score_gemma":0.001454806,"domain_scores_codex":[0.9983589,0.0002889301,0.000256691,0.000199502,0.0008323081,0.00006372383],"domain_scores_gemma":[0.9952055,0.002642074,0.0003887445,0.0004581421,0.001193502,0.0001119947],"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":[0.0002914564,0.0003323599,0.01125978,0.0007634738,0.0002924147,0.0004234319,0.0001856722,0.009678897,0.01670489,0.004005877,0.006832369,0.9492294],"study_design_scores_gemma":[0.0001671997,0.0006328303,0.01993801,0.0005774511,0.0008605029,0.005875756,0.0006005303,0.7408517,0.1042798,0.05108702,0.07499322,0.0001359676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04780476,0.009684786,0.9288068,0.003136897,0.0005855324,0.0005056557,0.001537624,0.002584477,0.005353482],"genre_scores_gemma":[0.3086364,0.005845502,0.6792709,0.0005727809,0.0004220039,0.0003314746,0.00199592,0.0001244586,0.002800589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005502011,"threshold_uncertainty_score":0.01304525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06693477581833332,"score_gpt":0.3635870522762567,"score_spread":0.2966522764579234,"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."}}