{"id":"W3111045851","doi":"10.2196/21790","title":"Comprehensive Computer-Aided Decision Support Framework to Diagnose Tuberculosis From Chest X-Ray Images: Data Mining Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center; National Research Foundation of Korea; National Research Foundation","keywords":"CAD; Computer science; Artificial intelligence; Chest radiograph; Data mining; Feature (linguistics); Computer-aided diagnosis; Machine learning; Pattern recognition (psychology); Medicine; Radiography; Radiology","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":[0.0021843,0.0008334372,0.00106342,0.00185404,0.0003565727,0.0008393187,0.00105607,0.0009872537,0.0007333932],"category_scores_gemma":[0.003687527,0.0002093327,0.000885899,0.001368184,0.0002414256,0.0009064846,0.0006131781,0.0008195626,0.0001877843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009521074,"about_ca_system_score_gemma":0.001306253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009718962,"about_ca_topic_score_gemma":0.007608224,"domain_scores_codex":[0.9991704,0.0001596736,0.0001060909,0.0001870067,0.0002928888,0.00008395157],"domain_scores_gemma":[0.99832,0.0007981948,0.000123862,0.00008005065,0.0005983217,0.00007944011],"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":[0.0006304311,0.001555216,0.03318122,0.000252118,0.0004126049,0.0004062598,0.0002084675,0.3771576,0.005162664,0.002075224,0.00452152,0.5744367],"study_design_scores_gemma":[0.000006315004,0.0000680593,0.001431899,0.000009505809,0.00002178725,0.00003671334,0.00002030902,0.9970934,0.0007631183,0.0003305724,0.0002135105,0.000004776964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4940426,0.004066794,0.4954444,0.001411653,0.0001134916,0.0003596421,0.0009905022,0.001436044,0.002134876],"genre_scores_gemma":[0.8958802,0.0006897574,0.1006733,0.0001772652,0.00006073562,0.0001569888,0.001568241,0.000009754925,0.0007837727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009718962,"threshold_uncertainty_score":0.01932478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07050654608193267,"score_gpt":0.3831995093449225,"score_spread":0.3126929632629898,"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."}}