{"id":"W4403060086","doi":"10.1109/jbhi.2024.3472462","title":"Longitudinal Alzheimer's Disease Progression Prediction With Modality Uncertainty and Optimization of Information Flow","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":17,"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; Chonnam National University Hwasun Hospital; Ministry of Science and ICT, South Korea; H. Lundbeck A/S; Servier; Iran Telecommunication Research Center; Eisai; Meso Scale Diagnostics; National Research Foundation of Korea; National Institutes of Health; Mike and Josie Harper Cancer Research Institute; Northern California Institute for Research and Education; National Research Foundation; IXICO; Takeda Pharmaceutical Company; Institute for Information and Communications Technology Promotion; Pfizer; Biogen; BioClinica; Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; GE Healthcare; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Drug Discovery Foundation; Genentech; Chonnam National University; Alzheimer's Association","keywords":"Computer science; Information flow; Modality (human–computer interaction); Disease; Flow (mathematics); Artificial intelligence; Medicine; Internal medicine; Mathematics","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":[0.002297806,0.0001319427,0.0003326794,0.0003072039,0.0003748786,0.00003156919,0.00008084272,0.0001583359,0.00003102713],"category_scores_gemma":[0.0001290458,0.00008371071,0.00003545501,0.0003065701,0.000253135,0.00115976,0.00003560334,0.0006304905,0.00000360766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001319709,"about_ca_system_score_gemma":0.0015497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001281197,"about_ca_topic_score_gemma":0.00002092715,"domain_scores_codex":[0.996581,0.0001452487,0.002258657,0.00006778361,0.0006530348,0.0002942478],"domain_scores_gemma":[0.9974484,0.0002175038,0.001069586,0.0001040489,0.0005151452,0.0006452531],"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":[0.001701229,0.000205475,0.06939153,0.02478178,0.0002273275,0.00001805681,0.04889944,0.0400242,0.000002224821,0.001693559,0.007930455,0.8051247],"study_design_scores_gemma":[0.0004309496,0.001236111,0.007172231,0.005071755,0.00008689689,0.00004278632,0.004052804,0.9754957,0.000005799893,0.0007195978,0.005581332,0.0001040648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2867658,0.006318156,0.6625713,0.03728758,0.003800626,0.002452175,0.0005205893,0.0001417555,0.0001420807],"genre_scores_gemma":[0.9672703,0.003716748,0.02745718,0.0008808469,0.0005535522,0.00002247227,0.00008127833,0.00001320291,0.000004485663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9354715,"threshold_uncertainty_score":0.3413624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015329781603014,"score_gpt":0.4408519201258749,"score_spread":0.3393189419655735,"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."}}