A Comparison of Lifestyle Interventions for Alzheimer's Disease Extracted from Clinical Notes and Literature

Xin Zhou, Hongfang Liu, Yanshan Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The purpose of this study is to compare the lifestyle risk factors and intervention strategies of Alzheimer's Disease (AD) found from literature and from clinical notes. A natural language processing (NLP) approach was applied to extract previously identified risk factors from a corpus of clinical notes of 261 AD patients at Mayo Clinic. We find that 18 lifestyle risk factors have been reported in the clinical notes such as dietary factors, sedentary behavior, sleep disorder and substance abuse. However, rare risk factors such as magnesium/selenium deficiency have not been reported in the corpus. The results show that many factors which have been proved to be correlated to AD in the literature have not been well measured in the clinical practice.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages74-75
Number of pages2
ISBN (Electronic)9781538667774
DOIs
StatePublished - Jul 16 2018
Event6th IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018 - New York, United States
Duration: Jun 4 2018Jun 7 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018

Other

Other6th IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018
Country/TerritoryUnited States
CityNew York
Period6/4/186/7/18

Keywords

  • Alzheimer's disease
  • Dementia
  • Natural language processing

ASJC Scopus subject areas

  • Information Systems and Management
  • Health Informatics

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