{"id":"W3126314261","doi":"10.3389/fnins.2021.605115","title":"Diagnosis of Alzheimer’s Disease Using Brain Network","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":35,"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; IXICO; H. Lundbeck A/S; Servier; Eisai; Meso Scale Diagnostics; National Research Foundation of Korea; National Research Foundation; 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; 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":"Support vector machine; Pairwise comparison; Feature selection; Artificial intelligence; Computer science; Pattern recognition (psychology); Neuroimaging; Graph; Machine learning; Correlation; Graph theory; Neuroscience; Psychology; Mathematics; Theoretical computer science","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":[0.0003157923,0.0006196222,0.0003609906,0.002341858,0.0002464581,0.0005308305,0.0003106256,0.0005020828,0.0008306832],"category_scores_gemma":[0.001305781,0.000108614,0.0003839369,0.0009669191,0.0001750956,0.0007012305,0.0003606531,0.0003164619,0.0002294739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003592389,"about_ca_system_score_gemma":0.000208446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003448033,"about_ca_topic_score_gemma":0.005417896,"domain_scores_codex":[0.9998173,0.0000435082,0.00001238191,0.00006268425,0.00004282701,0.00002132009],"domain_scores_gemma":[0.9996531,0.0001393343,0.00009324172,0.00002314745,0.00006727737,0.00002387021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007929101,0.0003651763,0.1915777,0.0005050643,0.0005911172,0.001443998,0.0003330827,0.1100444,0.02296859,0.006566995,0.01152646,0.6532844],"study_design_scores_gemma":[0.00002460168,0.0002107781,0.07068153,0.00007958792,0.0001669719,0.001270275,0.0002095179,0.9015399,0.00695355,0.01572027,0.003103134,0.00003994424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6858433,0.00434686,0.2964196,0.001382523,0.0001360415,0.0002312019,0.003895257,0.001268498,0.006476762],"genre_scores_gemma":[0.95517,0.0008544399,0.04115275,0.00006297977,0.00008064951,0.00006974098,0.001741264,0.00001774513,0.000850422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003448033,"threshold_uncertainty_score":0.006855965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06628047671244919,"score_gpt":0.2908751230888335,"score_spread":0.2245946463763843,"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."}}