{"id":"W3125069671","doi":"10.1038/s41598-021-82098-3","title":"A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":344,"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; Genentech; National Institutes of Health; IXICO; H. Lundbeck A/S; Servier; Eisai; Meso Scale Diagnostics; National Research Foundation of Korea; National Research Foundation; Ministerio de Ciencia, Innovación y Universidades; Northern California Institute for Research and Education; Ministry of Science and ICT, South Korea; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; European Regional Development Fund; Mansoura University; Eli Lilly and Company; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Neuroimaging; Artificial intelligence; Random forest; Computer science; Classifier (UML); Dementia; Machine learning; Binary classification; Disease; Cognitive impairment; Modalities; Cognition; Set (abstract data type); Psychology; Medicine; Psychiatry; Pathology; Support vector machine","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":[0.001552865,0.001250141,0.001175394,0.001112067,0.0006251122,0.001383454,0.001786965,0.001914247,0.002867805],"category_scores_gemma":[0.003908488,0.0007967421,0.001578878,0.0007157749,0.0006848876,0.0013258,0.001187673,0.001989317,0.0004885647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706361,"about_ca_system_score_gemma":0.001071019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02255337,"about_ca_topic_score_gemma":0.01231442,"domain_scores_codex":[0.9992988,0.0001786589,0.00003628779,0.0002575118,0.00009088319,0.0001377731],"domain_scores_gemma":[0.9987397,0.00073149,0.0001805979,0.00005630627,0.0002231782,0.0000687129],"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":[0.0001719242,0.0000952627,0.006031722,0.00008074316,0.0001677163,0.0002504362,0.0001607887,0.9427436,0.001501331,0.01129178,0.001541897,0.03596283],"study_design_scores_gemma":[0.000007011067,0.00001638084,0.0004355621,0.000006359211,0.00002258261,0.00001981384,0.000003090236,0.9957561,0.00008315052,0.003496055,0.0001469094,0.000006930972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1567694,0.002258048,0.8301874,0.003110371,0.0002104883,0.0001203029,0.001184098,0.001531375,0.004628517],"genre_scores_gemma":[0.9410071,0.0007478396,0.05180057,0.0003942727,0.000144797,0.0002165855,0.0006656405,0.00006407638,0.004959085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02255337,"threshold_uncertainty_score":0.04484421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04523720198627321,"score_gpt":0.3117149733472688,"score_spread":0.2664777713609956,"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."}}