1-3 of 3
Keywords: Machine learning
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Uncovering Predictors of Low Hippocampal Volume: Evidence from a Large-Scale Machine-Learning-Based Study in the UK Biobank

Open Access
Subject Area:
Neurology and Neuroscience , Public Health
Yigizie Yeshaw, Iqbal Madakkatel, Anwar Mulugeta, Amanda Lumsden, Elina Hyppönen
Journal: Neuroepidemiology
Neuroepidemiology (2024) 58 (5): 369–382.
https://doi.org/10.1159/000538565
Published Online: 01 April 2024
...Yigizie Yeshaw; Iqbal Madakkatel; Anwar Mulugeta; Amanda Lumsden; Elina Hyppönen Introduction: Hippocampal atrophy is an established biomarker for conversion from the normal ageing process to developing cognitive impairment and dementia. This study used a novel hypothesis-free machine-learning...
View articletitled, Uncovering Predictors of Low Hippocampal Volume: Evidence from a Large-Scale Machine-Learning-Based Study in the UK Biobank
Open the PDF for Uncovering Predictors of Low Hippocampal Volume: Evidence from a Large-Scale Machine-Learning-Based Study in the UK Biobank in another window
Journal Articles

Estimating the Prevalence of Dementia in India Using a Semi-Supervised Machine Learning Approach

Available to Purchase
Subject Area:
Karger e-Journal Backfile Collection 2023 , Neurology and Neuroscience , Public Health
Haomiao Jin, Eileen Crimmins, Kenneth M. Langa, A.B. Dey, Jinkook Lee
Journal: Neuroepidemiology
Neuroepidemiology (2023) 57 (1): 43–50.
https://doi.org/10.1159/000528904
Published Online: 28 March 2023
... the prevalence of dementia in India using a semi-supervised machine learning approach based on a large nationally representative sample. Methods: The sample of this study is adults 60 years or older in the wave 1 (2017–2019) of the Longitudinal Aging Study in India (LASI). A subsample in LASI received extensive...
View articletitled, Estimating the Prevalence of Dementia in India Using a Semi-Supervised Machine Learning Approach
Open the PDF for Estimating the Prevalence of Dementia in India Using a Semi-Supervised Machine Learning Approach in another window
Journal Articles

Predicting the Risk of Ischemic Stroke in Patients Treated with Novel Oral Anticoagulants: A Machine Learning Approach

Available to Purchase
Subject Area:
Neurology and Neuroscience , Public Health
Karel Kostev, Tong Wu, Yue Wang, Kal Chaudhuri, Russel Reeve, Christian Tanislav
Journal: Neuroepidemiology
Neuroepidemiology (2021) 55 (5): 387–392.
https://doi.org/10.1159/000517512
Published Online: 21 July 2021
... general practitioners in Germany using machine learning methods. Methods: This retrospective cohort study included 39,652 patients with a diagnosis of atrial fibrillation (AF) and an initial prescription of NOAC in 1,278 general practices in Germany between January 2011 and December 2018. Of 39,652...
View articletitled, Predicting the Risk of Ischemic Stroke in Patients Treated with Novel Oral Anticoagulants: A Machine Learning Approach
Open the PDF for Predicting the Risk of Ischemic Stroke in Patients Treated with Novel Oral Anticoagulants: A Machine Learning Approach in another window