{"id":"W4391129772","doi":"10.1109/icacta58201.2023.10392702","title":"Deep Learning based Chatbot Architecture for Medical Diagnosis and Treatment Recommendation","year":2023,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Medical diagnosis; Chatbot; Machine learning; Artificial intelligence; Architecture; Naive Bayes classifier; Classifier (UML); The Internet; Support vector machine; World Wide Web; 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":[0.0006674585,0.0004873628,0.0005862223,0.0004232944,0.000427392,0.0005962853,0.001413018,0.001228873,0.005413597],"category_scores_gemma":[0.001812656,0.0002618011,0.0003649251,0.0002977756,0.000361203,0.0009344246,0.0007658099,0.001150524,0.001678708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008868453,"about_ca_system_score_gemma":0.001225236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008173757,"about_ca_topic_score_gemma":0.009211002,"domain_scores_codex":[0.9996926,0.00007031367,0.00002447024,0.00008669217,0.00007305554,0.00005298941],"domain_scores_gemma":[0.9995756,0.0001531955,0.00002967984,0.00003794579,0.0001456508,0.00005799261],"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":[0.001485813,0.001030558,0.00818482,0.0004530023,0.0001944645,0.0007269843,0.0006401475,0.1543553,0.03146994,0.01663578,0.02576472,0.7590585],"study_design_scores_gemma":[0.00003017226,0.0001757951,0.000740194,0.00002244172,0.00003689953,0.000118397,0.00003926789,0.9864061,0.004829989,0.004232179,0.003346955,0.00002150556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05988669,0.0009736253,0.9198229,0.001347625,0.0003257437,0.0002711361,0.0004202219,0.00940303,0.007549076],"genre_scores_gemma":[0.8294992,0.0004460737,0.1520669,0.0008015466,0.00009281075,0.0002917727,0.0007654442,0.00008120282,0.01595489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008173757,"threshold_uncertainty_score":0.01811028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980216531984404,"score_gpt":0.3134331178912236,"score_spread":0.2836309525713796,"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."}}