Analyzing Early Signals of Older Adult Cognitive Impairment in Electronic Health Records

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

1 Scopus citations

Abstract

The aging population has led to an increase in cognitive impairment resulting in significant costs to patients, their families, and society. A research endeavor on a large cohort to better understand the frequency and severity of cognitive impairment is urgent to respond to the health needs of this population. However, little is known about temporal trends of patient health functions (i.e., activity of daily living) and how these trends are associated with the onset of cognitive impairment in older adults. Moreover, the use of rich source of clinical narratives in electronic health records to facilitate cognitive impairment research (i.e., topic analysis) has not been well explored. A study indicated that clinicians often delay a diagnosis of cognitive impairment and miss appropriate treatment of underlying diseases and comorbid conditions which may cause safety issues for the patient and others. This study is to characterize and better understand early signals of older adult cognitive impairment by examining temporal trends of patient activity of daily living and analyzing topics of patient medical conditions described in clinical narratives using semantic topic models.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
EditorsHarald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1636-1640
Number of pages5
ISBN (Electronic)9781538654880
DOIs
StatePublished - Jan 21 2019
Event2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain
Duration: Dec 3 2018Dec 6 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

Conference

Conference2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
CountrySpain
CityMadrid
Period12/3/1812/6/18

Keywords

  • activity of daily living
  • cognitive impairment
  • deep learning
  • early diagnosis
  • semantics analytics
  • topic modeling

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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    Goudarzvand, S., St. Sauver, J., Mielke, M. M., Takahashi, P. Y., & Sohn, S. (2019). Analyzing Early Signals of Older Adult Cognitive Impairment in Electronic Health Records. In H. Schmidt, D. Griol, H. Wang, J. Baumbach, H. Zheng, Z. Callejas, X. Hu, J. Dickerson, & L. Zhang (Eds.), Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 (pp. 1636-1640). [8621278] (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2018.8621278