A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer’s Disease Conversion in Individuals with Mild and Premild Cognitive Impairment

Author:

Grassi Massimiliano1,Perna Giampaolo1234,Caldirola Daniela1,Schruers Koen2,Duara Ranjan567,Loewenstein David A.368

Affiliation:

1. Department of Clinical Neurosciences, Hermanas Hospitalarias, Villa San Benedetto Menni Hospital, FoRiPsi, Albese con Cassano, Como, Italy

2. Research Institute of Mental Health and Neuroscience and Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, University of Maastricht, Maastricht, Netherlands

3. Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA

4. Mantovani Foundation, Arconate, Italy

5. Department of Neurology, Herbert Wertheim College of Medicine, Florida International University of Miami, Miami, FL, USA

6. Wien Center for Alzheimer’s Disease and Memory Disorders, Mount Sinai Medical Center Miami Beach, FL, USA

7. Courtesy Professor of Neurology, Department of Neurology, University of Florida College of Medicine, Gainesville Florida, USA

8. Center on Aging, Miller School of Medicine, University of Miami, Miami, FL, USA

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

Reference55 articles.

1. Current treatment options for Alzheimer’s disease and Parkinson’s disease dementia;Szeto;Curr Neuropharmacol,2016

2. Assessing the progression of mild cognitive impairment to Alzheimer’s disease: Current trends and future directions;Brooks;Alzheimers Res Ther,2010

3. Novel cognitive paradigms for the detection of memory impairment in preclinical Alzheimer’s disease;Loewenstein;Assessment,2017

4. Neuropathologic features of amnestic mild cognitive impairment;Petersen;Arch Neurol,2006

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