Ali Ezzati, M.D.

Neurology

Phone718-430-3886
EmailAli.Ezzati@einsteinmed.org
Websitehttp://www.einstein.yu.edu/faculty/13307/ali-ezzati/

Source: Scopus
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Predictive analytics for cognitive decline and Alzheimer?s disease
Ezzati, A.
8/1/20 → 4/30/21
Project: Research project

492 Citations
13 h-Index
29 Article

Detecting biological heterogeneity patterns in ADNI amnestic mild cognitive impairment based on volumetric MRI
for the Alzheimer’s Disease Neuroimaging Initiative, Oct 1 2020, In: Brain Imaging and Behavior. 14, 5, p. 1792-1804 13 p.
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Effect of Mentally Challenging Occupations on Incident Dementia Differs between African Americans and Non-Hispanic Whites
Hyun, J., Hall, C. B., Sliwinski, M. J., Katz, M. J., Wang, C., Ezzati, A. & Lipton, R. B., 2020, In: Journal of Alzheimer's Disease. 75, 4, p. 1351-1360 10 p.
Research output: Contribution to journal › Article › peer-review
Machine learning predictive models can improve efficacy of clinical trials for Alzheimer's disease
Ezzati, A. & Lipton, R. B., 2020, In: Journal of Alzheimer's Disease. 74, 1, p. 55-63 9 p.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Predicting Amyloid-β Levels in Amnestic Mild Cognitive Impairment Using Machine Learning Techniques
Alzheimer’s Disease Neuroimaging Initiative, 2020, In: Journal of Alzheimer's disease : JAD. 73, 3, p. 1211-1219 9 p.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Depressive Symptoms Predict Incident Dementia in a Community Sample of Older Adults: Results From the Einstein Aging Study
Ezzati, A., Katz, M. J., Derby, C. A., Zimmerman, M. E. & Lipton, R. B., Mar 1 2019, In: Journal of Geriatric Psychiatry and Neurology. 32, 2, p. 97-103 7 p.
Research output: Contribution to journal › Article › peer-review
13 Scopus citations

Predictive analytics for cognitive decline and Alzheimer?s disease

Detecting biological heterogeneity patterns in ADNI amnestic mild cognitive impairment based on volumetric MRI

Effect of Mentally Challenging Occupations on Incident Dementia Differs between African Americans and Non-Hispanic Whites

Machine learning predictive models can improve efficacy of clinical trials for Alzheimer's disease

Predicting Amyloid-β Levels in Amnestic Mild Cognitive Impairment Using Machine Learning Techniques

Depressive Symptoms Predict Incident Dementia in a Community Sample of Older Adults: Results From the Einstein Aging Study