1.7k citations · 2.4k across the 16 of their papers we have counts for
18 papers
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…
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…
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…
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…
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…
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…
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome
Ashkan Ebadi, Patrick J. Tighe, Lei Zhang +1
We analyzed the relation between surgical service providers' network structure and surgical team size with patient outcome during the operation. We did correlation analysis to eval…
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics
Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara +5
Acute kidney injury (AKI) is a common and serious complication after a surgery which is associated with morbidity and mortality. The majority of existing perioperative AKI risk sco…
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring
Anis Davoudi, Kumar Rohit Malhotra, Benjamin Shickel +8
Currently, many critical care indices are repetitively assessed and recorded by overburdened nurses, e.g. physical function or facial pain expressions of nonverbal patients. In add…
A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time?
Ashkan Ebadi, Patrick J. Tighe, Lei Zheng +1
We examined the structure of intra- and postoperative case-collaboration networks among the surgical service providers in a quaternary-care academic medical center, using retrospec…
DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning
Benjamin Shickel, Tyler J. Loftus, Lasith Adhikari +3
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static…
Activity and Circadian Rhythm of Sepsis Patients in the Intensive Care Unit
Anis Davoudi, Duane B. Corbett, Tezcan Ozrazgat-Baslanti +4
Early mobilization of critically ill patients in the Intensive Care Unit (ICU) can prevent adverse outcomes such as delirium and post-discharge physical impairment. To date, no stu…
Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning
Benjamin Shickel, Martin Heesacker, Sherry Benton +1
As the popularity of social media platforms continues to rise, an ever-increasing amount of human communication and self- expression takes place online. Most recent research has fo…
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
Benjamin Shickel, Patrick Tighe, Azra Bihorac +1
The past decade has seen an explosion in the amount of digital information stored in electronic health records (EHR). While primarily designed for archiving patient clinical inform…