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12 hours ago · Incremental Value of Multidomain Risk Factors for Dementia Prediction: A Machine Learning Approach. Wei Ying Tan,; Carol Anne Hargreaves,; Gavin S. Dawe, ...
Missing: disturbances | Show results with:disturbances
9 hours ago · In our study, we linked machine-learning-derived biological age gaps (BAGs) to common genetic variants in nine human organ systems, which revealed how these ...
Missing: sleep | Show results with:sleep
7 hours ago · The CBT is widely used in neuropsychological and medical research to study conditions like acquired brain injury, dementia, Parkinson's disease, and AD [34]. A ...
23 hours ago · This review focuses on the different methodologies and artificial intelligence (AI) technologies being utilized to improve rapid diagnosis of sleep disorde.
17 hours ago · Dementia, particularly Alzheimer's Disease (AD), is typically diagnosed when symptoms of cognitive decline have manifested and preventive protocols.
17 hours ago · Practical, relevant, timely information for neurologists and all clinicians to practice the best possible medicine for our patients.
Missing: Prediction older sleep machine
12 hours ago · This work provides direct insight into the application of these biomarkers for seizure detection and prediction.
Missing: disturbances machine
7 hours ago · Do positive psychosocial factors contribute to the prediction of coronary artery disease? A UK Biobank–based machine learning approach. René Hefti and others.
Missing: sleep disturbances
11 hours ago · The CJC Pediatric and Congenital Heart Disease publishes original reports of clinical and basic research relevant to cardiovascular medicine, as well as ...
Missing: Prediction disturbances
16 hours ago · This cohort study evaluates cognitive trajectories and rates of cognitive decline before and after diagnosis of malignant neoplasm in older adults. Geriatrics ...
Missing: disturbances | Show results with:disturbances