{"id":"W2914209001","doi":"10.1038/s41598-018-37769-z","title":"Predicting Alzheimer’s disease progression using multi-modal deep learning approach","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":402,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; Sunnybrook Health Science Centre; St Joseph's Health Centre; McGill University; Jewish General Hospital","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, San Diego; Genentech; U.S. National Library of Medicine; IXICO; Servier; Eisai; National Center for Advancing Translational Sciences; Pennsylvania Department of Health; Meso Scale Diagnostics; National Research Foundation of Korea; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; Medpace; F. Hoffmann-La Roche; Synarc; University of Southern California; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Association; National Institutes of Health; U.S. Department of Health and Human Services; Alzheimer's Disease Neuroimaging Initiative; Foundation for the National Institutes of Health","keywords":"Alzheimer's Disease Neuroimaging Initiative; Neuroimaging; Cognition; Disease; Clinical trial; Cohort; Alzheimer's disease; Medicine; Artificial intelligence; Machine learning; Cognitive impairment; Physical medicine and rehabilitation; Computer science; Internal medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001510466,0.0007512913,0.0006986274,0.001197754,0.0002345118,0.0007149677,0.000604852,0.0008564102,0.0008630444],"category_scores_gemma":[0.002340368,0.0002167812,0.0007560159,0.0004501124,0.0001739253,0.0005710429,0.0006812519,0.001121947,0.0001999414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007301857,"about_ca_system_score_gemma":0.0006758876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009988002,"about_ca_topic_score_gemma":0.01166697,"domain_scores_codex":[0.9996674,0.00009563594,0.00003293919,0.0000953729,0.00004598511,0.00006274573],"domain_scores_gemma":[0.9992973,0.0003352443,0.00008843796,0.00003883632,0.0001744523,0.00006582036],"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":[0.001195169,0.001207482,0.1111861,0.0001968213,0.0006530157,0.0004580856,0.0001452808,0.5705284,0.006780628,0.00139499,0.006268631,0.2999854],"study_design_scores_gemma":[0.000008462577,0.00005096676,0.003621886,0.000009223216,0.00002830158,0.00002653652,0.000009394792,0.9946135,0.0005441381,0.0009444654,0.000133526,0.00000956997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7542505,0.002854834,0.2352683,0.001340365,0.0001535381,0.0001390195,0.00226219,0.0015233,0.002208047],"genre_scores_gemma":[0.9766798,0.0002505042,0.02123534,0.0001655389,0.00004389659,0.00005115657,0.0009436716,0.00001213433,0.0006179679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009988002,"threshold_uncertainty_score":0.01985973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04261822956100783,"score_gpt":0.3521661965130813,"score_spread":0.3095479669520735,"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."}}