{"id":"W3177311683","doi":"10.1155/2021/5545297","title":"A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture","year":2021,"lang":"en","type":"article","venue":"Computational and Mathematical Methods in Medicine","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":21,"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; Genentech; Takeda Pharmaceutical Company; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; DoD Alzheimer's Disease Neuroimaging Initiative; Pfizer; Biogen; BioClinica; University of Southern California; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; F. Hoffmann-La Roche; Alzheimer's Drug Discovery Foundation; Janssen Alzheimer Immunotherapy Research And Development; AbbVie; Alzheimer's Association; Foundation for the National Institutes of Health; GE Healthcare; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics","keywords":"Cognition; Geriatric Depression Scale; Test (biology); Medical record; Artificial neural network; Neuroimaging; Clinical decision support system; Machine learning; Medicine; Artificial intelligence; Computer science; Decision support system; Psychiatry; Internal medicine","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":[0.001230779,0.0007865626,0.000715271,0.001123857,0.0003818,0.0009594744,0.0008501383,0.0009869918,0.0026481],"category_scores_gemma":[0.002510183,0.0003373938,0.0004502746,0.0006165683,0.0002032498,0.0006325449,0.0005534429,0.0006041226,0.0008134197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005942901,"about_ca_system_score_gemma":0.0008354401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003712011,"about_ca_topic_score_gemma":0.004079537,"domain_scores_codex":[0.999542,0.00009878854,0.00005862055,0.0001788248,0.00009181956,0.00002997882],"domain_scores_gemma":[0.9992955,0.0003319349,0.00006942377,0.00005011506,0.0001924039,0.00006058847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00322526,0.001220371,0.02830407,0.0005105307,0.0006159329,0.0009231873,0.0002395472,0.1578751,0.0256847,0.001630757,0.01095297,0.7688175],"study_design_scores_gemma":[0.0001821848,0.0005325787,0.006525667,0.00005582098,0.000165815,0.0003941722,0.00003212396,0.9846748,0.004070002,0.001465501,0.001853334,0.00004809422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1773262,0.001059969,0.8013101,0.0007641998,0.0002793184,0.0007555401,0.001512892,0.01335949,0.003632299],"genre_scores_gemma":[0.7926035,0.0004004681,0.2020407,0.0003577649,0.000120831,0.000637866,0.001183727,0.00008277225,0.002572318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003712011,"threshold_uncertainty_score":0.0088588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05847021551311871,"score_gpt":0.4692816003997793,"score_spread":0.4108113848866606,"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."}}