{"id":"W2967935744","doi":"10.5220/0007949902960303","title":"Classification of Alzheimer’s Disease using Machine Learning Techniques","year":2019,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Machine learning; Naive Bayes classifier; Decision tree; Disease; Artificial intelligence; Computer science; Health care; Support vector machine; 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":[0.001943569,0.001239137,0.001343899,0.006388808,0.0004963663,0.001467566,0.001151953,0.001334304,0.0009042141],"category_scores_gemma":[0.00470998,0.0001998659,0.001579135,0.00302733,0.0003338572,0.001048799,0.00065951,0.001422564,0.0009508033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007945982,"about_ca_system_score_gemma":0.001019032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006870012,"about_ca_topic_score_gemma":0.00515432,"domain_scores_codex":[0.9983774,0.000276483,0.0003288026,0.0003293946,0.0005029843,0.000184863],"domain_scores_gemma":[0.9979585,0.0008625633,0.00027161,0.000161055,0.0006645221,0.00008170648],"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":[0.0005377073,0.001371519,0.08317767,0.0006457086,0.000539126,0.0009231345,0.0002314807,0.08452398,0.005687072,0.001687456,0.02204904,0.7986262],"study_design_scores_gemma":[0.00004598917,0.0003346245,0.03471582,0.0002445227,0.0001456381,0.0007131224,0.0003872001,0.944075,0.005357229,0.006710544,0.007196874,0.00007332324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.568406,0.01922516,0.3731355,0.004015497,0.00172068,0.001033523,0.01719452,0.005105674,0.01016344],"genre_scores_gemma":[0.8059759,0.004036123,0.1689587,0.00041144,0.0004474678,0.0003950972,0.01696012,0.00005258166,0.002762706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006870012,"threshold_uncertainty_score":0.01366001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3054331799618361,"score_gpt":0.5218391048121328,"score_spread":0.2164059248502967,"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."}}