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Computable Phenotypes of Patient Acuity in the Intensive Care Unit
Yuanfang Ren, Jeremy Balch, Kenneth L. Abbott +5
Continuous monitoring and patient acuity assessments are key aspects of Intensive Care Unit (ICU) practice, but both are limited by time constraints imposed on healthcare providers…
Automated Detection of Rest Disruptions in Critically Ill Patients
Vasundhra Iyengar, Azra Bihorac, Parisa Rashidi
Sleep has been shown to be an indispensable and important component of patients recovery process. Nonetheless, sleep quality of patients in the Intensive Care Unit (ICU) is often l…
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…
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients
Florenc Demrozi, Graziano Pravadelli, Patrick J Tighe +2
Pain and physical function are both essential indices of recovery in critically ill patients in the Intensive Care Units (ICU). Simultaneous monitoring of pain intensity and patien…
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks
Benjamin Shickel, Tyler J. Loftus, Matthew Ruppert +4
Accurate prediction of postoperative complications can inform shared decisions regarding prognosis, preoperative risk-reduction, and postoperative resource use. We hypothesized tha…
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey
Florenc Demrozi, Graziano Pravadelli, Azra Bihorac +1
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area, especially due to the spread of electronic devices such as smartphones, smartwatches and vi…