A Prospective Investigation into the Predictive Modeling of Dementia Disease Risk Using Electronic Medical Records from Maine-Reference-Cited by-同舟云学术

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A Prospective Investigation into the Predictive Modeling of Dementia Disease Risk Using Electronic Medical Records from Maine

Published:2023-07-25 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM)
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Author:

Wang Xiaofang¹,Liu Modi²,McElhinney DoffB³,T Alfreds Shaun⁴,Han Shiyuan¹,Zhou Jin¹,B Ling Xuefeng⁵

Affiliation:

1. Intelligent Computing University of Jinan,Shandong Provincial Key Laboratory of Network Based,Jinan,China

2. Healthcare Business Intelligence Solutions Inc,Palo Alto,CA,United States

3. Stanford University Palo,Department of Cardiothoracic Surgery,Alto,CA,United States

4. HealthInfo Net,Portland,ME,United States

5. Stanford University Palo,Department of Surgery,Alto,CA,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339379/10339284/10339517.pdf?arnumber=10339517

Reference16 articles.

1. Risk score for the prediction of dementia risk in 20 years among middle aged people: a longitudinal, population-based study

2. Development and validation of an Alzheimers disease risk index based on multiple longitudinal measures of cognition, blood pressure, and physical activity;Xia;Alzheimers Dement,2018

3. Development of a dementia prediction model for the Chinese population: a prospective cohort study;Song;Lancet Public Health,2018

4. Prediction of Alzheimers disease using multi-modal data and hierarchical feature fusion;Huang;Journal of Alzheimers Disease,2019

5. Polygenic risk score analysis of pathologically confirmed Alzheimer disease

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