E
Elizabeth S. Chen
Researcher at Brown University
Publications - 101
Citations - 1589
Elizabeth S. Chen is an academic researcher from Brown University. The author has contributed to research in topics: Health care & Informatics. The author has an hindex of 20, co-authored 98 publications receiving 1387 citations. Previous affiliations of Elizabeth S. Chen include Harvard University & Federal University of São Paulo.
Papers
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Journal ArticleDOI
Predicting open wound mortality in the ICU using machine learning.
Ronald K. Akiki,Rajsavi Anand,Mimi R. Borrelli,Indra Neil Sarkar,Paul Y. Liu,Elizabeth S. Chen +5 more
TL;DR: Random forest and binomial logistic regression models were developed to predict the risk of mortality among open wound patients in the Medical Information Mart for Intensive Care III (MIMIC-III) database and may allow clinicians to provide better care and management to open wound Patients in the ICU.
Journal ArticleDOI
Assessing the Representation of Occupation Information in Free-Text Clinical Documents Across Multiple Sources.
Elizabeth A. Lindemann,Elizabeth S. Chen,Sripriya Rajamani,Nivedha Manohar,Yan Wang,Genevieve B. Melton +5 more
TL;DR: The findings support the value of standardizing entry of EHR occupation information to improve data quality for improved patient care and secondary uses of this information.
Proceedings Article
Mining Drugs and Indications for Suicide-Related Adverse Events.
Tiffany Ding,Elizabeth S. Chen +1 more
TL;DR: Preliminary results reveal combinations of drugs and indications that may increase the likelihood of suicide, with certain combinations potentially affecting some demographic groups more than others.
Proceedings Article
Enhancing clinical problem lists through data mining and natural language processing.
Elizabeth S. Chen,Adam Wright,Francine L. Maloney,Cheryl Van Putten,Marilyn D. Paterno,Howard S. Goldberg +5 more
TL;DR: A study is described being performed at Partners HealthCare System to explore automated techniques for enhancing existing problem lists, which suggest problem lists are frequently out-of-date, sometimes omit clinically important problems, and contain uncoded entries.
Journal Article
Poster Abstract: Use of Wireless Technology for Reducing Medical Errors.
TL;DR: In this article, the authors explore the use of wireless mobile computing technology to help reduce these problems through extensions to the Web-based clinical information system at New York Presbyterian Hospital (NYPH).