{"id":"W2995918088","doi":"10.1186/s12859-019-3158-x","title":"Benchmarking machine learning models for late-onset alzheimer’s disease prediction from genomic data","year":2019,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; IXICO; Centre hospitalier régional universitaire de Lille; H. Lundbeck A/S; Development of Innovative Strategies for a Transdisciplinary approach to ALZheimer's disease; Eisai; Genentech; Erasmus Medisch Centrum; Servier; Institut National de la Santé et de la Recherche Médicale; Bundesministerium für Bildung und Forschung; Hjartavernd; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; Consejo Nacional de Ciencia y Tecnología; Wellcome Trust; University of Southern California; Université de Lille; Eli Lilly and Company; U.S. Department of Defense; Medical Research Council; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; National Heart, Lung, and Blood Institute; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Machine learning; Computer science; Artificial intelligence; Disease; Benchmarking; Neuroimaging; Dementia; Selection (genetic algorithm); Medicine; Bioinformatics; Biology; Pathology; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0243782,0.001652387,0.001128908,0.003077446,0.0006563822,0.001564352,0.001736022,0.001738747,0.0009198157],"category_scores_gemma":[0.05289451,0.0004216525,0.001736294,0.002244874,0.0006889793,0.001271983,0.001380424,0.002004988,0.0005756016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552581,"about_ca_system_score_gemma":0.001710275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008488894,"about_ca_topic_score_gemma":0.007630758,"domain_scores_codex":[0.98778,0.008909994,0.0007982394,0.001383905,0.0008271849,0.0003006174],"domain_scores_gemma":[0.9493737,0.04283383,0.001440393,0.002978469,0.002881374,0.0004922225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00121768,0.0008834469,0.07549142,0.0008057035,0.002419591,0.0002065127,0.0001927537,0.8149744,0.001492848,0.001911403,0.005839598,0.09456464],"study_design_scores_gemma":[0.00009148007,0.0004586063,0.01128447,0.0001055107,0.0001998627,0.00008061517,0.00006926779,0.9809646,0.001261242,0.004490063,0.0009629294,0.00003144604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8103528,0.01099503,0.1645692,0.002035291,0.0003299871,0.0005283317,0.006547371,0.002087543,0.00255445],"genre_scores_gemma":[0.9308095,0.001036632,0.05815762,0.0002880326,0.00008807214,0.0003082001,0.008862791,0.000124078,0.0003249969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0243782,"threshold_uncertainty_score":0.1289257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08631620591382395,"score_gpt":0.3129766152346614,"score_spread":0.2266604093208374,"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."}}