activity
20172020
most citedSequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data

12 citations · 23 across the 7 of their papers we have counts for

collaborators

16 papers

q-bio.QM2020

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…

cs.LG2020

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…

cs.LG202012 cited

Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data

Benjamin Shickel, Parisa Rashidi

Deep learning continues to revolutionize an ever-growing number of critical application areas including healthcare, transportation, finance, and basic sciences. Despite their incre…

cs.CV20201 cited

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…

cs.CY2020

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…

eess.SP2020

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…