{"id":"W2594998925","doi":"10.3389/fnhum.2017.00033","title":"Prediction of Mild Cognitive Impairment Conversion Using a Combination of Independent Component Analysis and the Cox Model","year":2017,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Fundamental Research Funds for the Central Universities; National Institutes of Health; H. Lundbeck A/S; Servier; National Natural Science Foundation of China; Eisai; Genentech; IXICO; Northern California Institute for Research and Education; University of California, San Diego; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Alzheimer's Disease Neuroimaging Initiative; Neuroimaging; Proportional hazards model; Hazard ratio; Positron emission tomography; Magnetic resonance imaging; Temporal lobe; Internal medicine; Default mode network; Multivariate statistics; Confidence interval; Psychology; Medicine; Alzheimer's disease; Cognition; Disease; Nuclear medicine; Neuroscience; Radiology; Computer science; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007315927,0.00008240969,0.0002798809,0.0003777217,0.0002946725,0.0000319606,0.0001615663,0.00003099729,0.000004360855],"category_scores_gemma":[0.0001025392,0.00006225914,0.00007809934,0.0002177565,0.001273685,0.0001679111,0.0001513444,0.0001237432,3.091525e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005077241,"about_ca_system_score_gemma":0.00005033113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001417068,"about_ca_topic_score_gemma":0.000003925793,"domain_scores_codex":[0.9986599,0.0001023365,0.0002632637,0.0002455394,0.0005757064,0.0001532256],"domain_scores_gemma":[0.9992759,0.00002737166,0.0002709507,0.0002168015,0.0001535848,0.00005544301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005512094,0.0003592734,0.9795836,0.00006950147,0.00005173393,0.000005019997,0.0004817037,0.0003075478,0.01833712,0.00009383728,0.00002176461,0.0001377459],"study_design_scores_gemma":[0.00354358,0.0002297892,0.603312,0.00006292041,0.0002398107,0.000001608252,0.0002562249,0.3836168,0.008544981,0.0001638654,3.850828e-7,0.00002796836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654469,0.00003470088,0.03348131,0.00009360212,0.0001087202,0.0006464524,0.00002081783,0.000004077282,0.0001634345],"genre_scores_gemma":[0.9996108,0.00006319167,0.0001785686,0.00004137517,0.000004408231,0.00001163496,0.000006622658,0.000003898724,0.00007946413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3833093,"threshold_uncertainty_score":0.4692944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04739970328638306,"score_gpt":0.3241641228682147,"score_spread":0.2767644195818317,"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."}}