{"id":"W7133433131","doi":"","title":"Multimodal Fall Risk Prediction in Neurorehabilitation: Preliminary data from an Integrated Model of Clinical, Functional, and Cognitive Parameters with Machine Learning Validation","year":2025,"lang":"en","type":"article","venue":"VUBIR (Vrije Universiteit Brussel)","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; National Health and Medical Research Council; Medical Research Council; Samsung Biomedical Research Institute; Koning Boudewijnstichting; Eurostars; Vlaamse regering; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Toronto; Javna Agencija za Raziskovalno Dejavnost RS; Khon Kaen University; Fonds Wetenschappelijk Onderzoek; European Commission; HORIZON EUROPE Framework Programme; King Abdulaziz University; Stichting MS Research; Deutsche Forschungsgemeinschaft; National Institute for Health and Care Research; Rijksdienst voor Ondernemend Nederland; ZonMw; Scleroseforeningen; Universiteit Antwerpen; Hebrew University of Jerusalem; Department for the Economy; Innosuisse - Schweizerische Agentur für Innovationsförderung; National Science Foundation","keywords":"Cognition; Support vector machine; Predictive modelling; Feature selection; Artificial neural network","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":[0.00337373,0.001093241,0.001046066,0.0006645733,0.0003741413,0.0009253431,0.0008416878,0.0009104771,0.001313105],"category_scores_gemma":[0.007567078,0.0002653074,0.0009885898,0.0005493883,0.0003985351,0.0005544627,0.0005471822,0.0009859537,0.0006068783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000672572,"about_ca_system_score_gemma":0.0010474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01761868,"about_ca_topic_score_gemma":0.01066892,"domain_scores_codex":[0.9992176,0.0003908936,0.00005540863,0.0001509921,0.0001000693,0.00008497629],"domain_scores_gemma":[0.9947335,0.00364428,0.0002412459,0.0005256501,0.0006731353,0.0001822587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.006636222,0.003344735,0.408066,0.0001391034,0.001372448,0.0003168757,0.0003279828,0.4315854,0.004134686,0.0003800866,0.002663297,0.1410333],"study_design_scores_gemma":[0.00006661629,0.0007852825,0.1057719,0.00003027757,0.00020201,0.0001338027,0.00007345115,0.8904305,0.001522072,0.0006720257,0.0002685448,0.00004344899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835805,0.000234487,0.01446769,0.000134558,0.0000256525,0.00005324616,0.0009331282,0.0001957257,0.0003749519],"genre_scores_gemma":[0.9950091,0.00005224914,0.00302897,0.00002007168,0.000008267827,0.00004739844,0.001603483,0.00001470342,0.0002157958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01761868,"threshold_uncertainty_score":0.03503227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071401889168999,"score_gpt":0.3570938642507576,"score_spread":0.2499536753338577,"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."}}