{"id":"W4406038522","doi":"10.53759/7669/jmc202505044","title":"An Innovative Artificial Intelligence Based Decision Making System for Public Health Crisis Virtual Reality Rehabilitation","year":2025,"lang":"en","type":"article","venue":"Journal of Machine and Computing","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Artificial intelligence; Computer science; Machine learning; Decision tree; Health care; Context (archaeology); Naive Bayes classifier; Triage; Random forest; Digital health; Big data; Clinical decision support system; Support vector machine; Decision support system; Data science; Data mining; Medicine; Medical emergency","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":[0.001709304,0.001084732,0.0009777825,0.001100367,0.001086054,0.003159342,0.00241164,0.001809189,0.01562674],"category_scores_gemma":[0.004460767,0.0004533566,0.001158064,0.0005458083,0.0005496371,0.001907895,0.002582884,0.001361661,0.003281394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024074,"about_ca_system_score_gemma":0.001325662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004249879,"about_ca_topic_score_gemma":0.003619647,"domain_scores_codex":[0.9989618,0.0002743608,0.0001148601,0.0003034686,0.0002361197,0.0001093484],"domain_scores_gemma":[0.9988574,0.0004812653,0.00007804298,0.0001269191,0.0003127402,0.00014374],"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":[0.002844315,0.00225302,0.007329061,0.0008806286,0.0004501207,0.002719185,0.002285807,0.148888,0.03327398,0.02307035,0.04887514,0.7271305],"study_design_scores_gemma":[0.0002102622,0.0004891984,0.002003444,0.0001383892,0.0001720031,0.0004113748,0.0005057367,0.9316425,0.01027049,0.01924182,0.03477423,0.0001406315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05744645,0.000955014,0.8870068,0.002943022,0.0007670333,0.000983958,0.001511044,0.01967346,0.02871317],"genre_scores_gemma":[0.5516766,0.0005913688,0.4312433,0.001529044,0.000184287,0.0009964257,0.001836833,0.0004081854,0.01153395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01562674,"threshold_uncertainty_score":0.05227661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06537455759597292,"score_gpt":0.421275958274205,"score_spread":0.3559014006782321,"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."}}