{"id":"W4306722543","doi":"10.1155/2022/1419310","title":"A Deep Longitudinal Model for Mild Cognitive Impairment to Alzheimer’s Disease Conversion Prediction in Low-Income Countries","year":2022,"lang":"en","type":"article","venue":"Applied Computational Intelligence and Soft Computing","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Janssen Alzheimer Immunotherapy Research And Development; Johnson and Johnson Pharmaceutical Research and Development; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; 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; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Neuropsychology; Neuroimaging; Alzheimer's disease; Regression; Medicine; Alzheimer's Disease Neuroimaging Initiative; Deep learning; Biomarker; Cognitive impairment; Artificial neural network; Disease; Artificial intelligence; Cognitive decline; Cognition; Dementia; Psychology; Internal medicine; Computer science; 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":[0.001118783,0.0007326811,0.0005476541,0.000460737,0.0002656332,0.0005961978,0.0008236839,0.000673297,0.001713513],"category_scores_gemma":[0.00174269,0.0003321436,0.0006647783,0.0003557529,0.0002156994,0.0004646535,0.0007940241,0.001297975,0.0003858121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008691298,"about_ca_system_score_gemma":0.001123468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03711508,"about_ca_topic_score_gemma":0.0316132,"domain_scores_codex":[0.9998005,0.00006114635,0.00001354423,0.00005707049,0.00002134848,0.00004640267],"domain_scores_gemma":[0.9996418,0.0001581751,0.00004451941,0.00001859695,0.000106728,0.00003010751],"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":[0.0003718403,0.0001881357,0.01640533,0.00005177631,0.0001276151,0.0001895102,0.00007294858,0.9227152,0.0008259014,0.001803773,0.003265019,0.05398283],"study_design_scores_gemma":[0.000006300379,0.00001766609,0.0008180077,0.000005632079,0.000007968672,0.000005592648,0.000005951776,0.9983549,0.0000795639,0.0005732464,0.0001220225,0.00000319531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6556736,0.003094314,0.3282586,0.003102558,0.0003025869,0.0001202225,0.003046468,0.001355149,0.005046454],"genre_scores_gemma":[0.973579,0.0004811324,0.01947223,0.0002345921,0.00005397754,0.0001098177,0.001714699,0.00002617679,0.004328311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03711508,"threshold_uncertainty_score":0.07379806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036013368653617,"score_gpt":0.3279011572015639,"score_spread":0.2918877885479469,"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."}}