Predicting incident dementia in cerebral small vessel disease : comparison of machine learning and traditional statistical models

Li, RuiHarshfield, Eric L.Bell, StevenBurkhart, MichaelTuladhar, Anil M.Hilal, SaimaTozer, Daniel J.Chappell, Francesca M.Makin, Stephen D.J.Lo, Jessica W.Wardlaw, Joanna M.de Leeuw, Frank ErikChen, ChristopherKourtzi, ZoeMarkus, Hugh S.2023-09-252023-09-252023Li, R, Harshfield, E L, Bell, S, Burkhart, M, Tuladhar, A M, Hilal, S, Tozer, D J, Chappell, F M, Makin, S D J, Lo, J W, Wardlaw, J M, de Leeuw, F E, Chen, C, Kourtzi, Z & Markus, H S 2023, 'Predicting incident dementia in cerebral small vessel disease : comparison of machine learning and traditional statistical models', Cerebral Circulation - Cognition and Behavior, vol. 5, 100179. https://doi.org/10.1016/j.cccb.2023.1001792666-2450ORCID: /0000-0001-8701-9043/work/142977961https://hdl.handle.net/2164/21738Funding Information: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was funded by a British Heart Foundation (BHF) programme grant [grant number RG/F/22/110052 ] and infrastructural support was provided by the Cambridge British Heart Foundation Centre of Research Excellence [grant number RE/18/1/34212 ] and the Cambridge University Hospitals NIHR Biomedical Research Centre [grant number BRC-1215–20014 ]. Funding Information: HSM is supported by an NIHR Senior Investigator Award, and a number of peer reviewed funders including Medical Research Council, EU, Alzheimer's Society, Stroke Association, BHF. The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. RL is supported by a PhD scholarship awarded by Trinity College, University of Cambridge. ELH is supported by Cambridge BHF Centre of Research Excellence [grant number RE/18/1/34212 ]; Alzheimer's Society [grant number AS-RF-21–017 ]; BHF programme grant [grant number RG/F/22/110052 ]; Cambridge NIHR Biomedical Research Centre [grant number BRC-1215–20014 ]. SB is supported by BHF . AMT is supported by Dutch Heart Foundation [grant number 2016T044 ]. Wellcome Trust [grant number 081589 ] provided initial funding for SCANS study. SDJM is supported by Wellcome Trust [grant number WT088134/Z/09/A ]. JMW is supported by Wellcome Trust , Row Fogo Trust , and Medical Research Council . CC is supported by National Medical Research Council of Singapore. ZK is supported by Wellcome Trust and Alan Turing Institute.82178961engCerebral small vessel diseaseDementiaMachine learningPredictionR MedicineNeurologyCognitive NeuroscienceClinical NeurologyBiological PsychiatryBehavioral NeuroscienceRPredicting incident dementia in cerebral small vessel disease : comparison of machine learning and traditional statistical modelsJournal article10.1016/j.cccb.2023.100179http://www.scopus.com/inward/record.url?scp=85167790782&partnerID=8YFLogxK5