8 citations · 12 across the 6 of their papers we have counts for
9 papers
Application of Deep Interpolation Network for Clustering of Physiologic Time Series
Yanjun Li, Yuanfang Ren, Tyler J. Loftus +7
Background: During the early stages of hospital admission, clinicians must use limited information to make diagnostic and treatment decisions as patient acuity evolves. However, it…
Facial Action Unit Detection on ICU Data for Pain Assessment
Subhash Nerella, Azra Bihorac, Patrick Tighe +1
Current day pain assessment methods rely on patient self-report or by an observer like the Intensive Care Unit (ICU) nurses. Patient self-report is subjective to the individual and…
Pain and Physical Activity Association in Critically Ill Patients
Anis Davoudi, Tezcan Ozrazgat-Baslanti, Patrick J. Tighe +2
Critical care patients experience varying levels of pain during their stay in the intensive care unit, often requiring administration of analgesics and sedation. Such medications g…
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension
Shounak Datta, Tyler J. Loftus, Matthew M. Ruppert +12
To test the hypothesis that accuracy, discrimination, and precision in predicting postoperative complications improve when using both preoperative and intraoperative data input fea…
ICU Delirium Prediction Models: A Systematic Review
Matthew M Ruppert, Jessica Lipori, Sandip Patel +5
Purpose: Summarize ICU delirium prediction models published within the past five years. Methods: Electronic searches were conducted in April 2019 using PubMed, Embase, Cochrane Cen…
The DREAMS Project: Improving the Intensive Care Patient Experience with Virtual Reality
Triton Ong, Matthew Ruppert, Parisa Rashidi +3
Purpose: Preliminarily evaluate the feasibility and efficacy of using meditative virtual reality (VR) to improve the hospital experience of intensive care unit (ICU) patients. Meth…