{"id":"W2587023207","doi":"10.1016/j.compmedimag.2017.01.001","title":"Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging","year":2017,"lang":"en","type":"article","venue":"Computerized Medical Imaging and Graphics","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"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; Servier; U.S. Department of Defense; Eli Lilly and Company; Lundbeckfonden; Genentech; Takeda Pharmaceutical Company; IXICO; National Natural Science Foundation of China; DoD Alzheimer's Disease Neuroimaging Initiative; Pfizer; Biogen; BioClinica; Natural Science Foundation of Shanghai; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Roche; Merck; Alzheimer's Drug Discovery Foundation; GE Healthcare; Alzheimer's Disease Neuroimaging Initiative; Johnson and Johnson; Meso Scale Diagnostics; AbbVie; Fujirebio Europe; Alzheimer's Association","keywords":"Random forest; Dementia; Artificial intelligence; Support vector machine; Prodromal Stage; Pattern recognition (psychology); Identification (biology); Cognitive impairment; Computer science; Population; Positron emission tomography; Transformation (genetics); Cognition; Neuroimaging; Machine learning; Disease; Medicine; Nuclear medicine; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001300684,0.0002448436,0.0005321237,0.0002855253,0.0005221787,0.0002262911,0.0001962315,0.00004822636,0.00004732487],"category_scores_gemma":[0.0003832568,0.0002114871,0.0001236495,0.0001185683,0.001222179,0.0002707532,0.0003856442,0.0003706747,0.000001836971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001935865,"about_ca_system_score_gemma":0.0001485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002724661,"about_ca_topic_score_gemma":0.000007053277,"domain_scores_codex":[0.9976333,0.0001297883,0.0005590371,0.0004731435,0.0007883932,0.0004162806],"domain_scores_gemma":[0.9983121,0.0002192921,0.0003094896,0.0003241423,0.0003484698,0.0004864806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009362651,0.0002493681,0.9684343,0.0004545241,0.0002126282,0.0004912482,0.0003226866,2.912398e-7,0.002810159,0.0001363927,0.0001002358,0.02585186],"study_design_scores_gemma":[0.013281,0.0001732744,0.8150727,0.0007997009,0.0002747127,0.0004864982,0.00008231682,0.1688243,0.0003780761,0.0003713613,0.00006145584,0.0001946565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494886,0.0005756481,0.04682524,0.002060188,0.0002278703,0.0006435659,0.00004042983,0.00004499904,0.00009342838],"genre_scores_gemma":[0.9977664,0.0004340903,0.001000281,0.0005064525,0.0001356784,0.00002028881,0.00007705673,0.00002740551,0.00003228363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.168824,"threshold_uncertainty_score":0.8624194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02645681319219882,"score_gpt":0.3303718699412996,"score_spread":0.3039150567491007,"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."}}