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Tiffany Purcell Pellathy
Tiffany Purcell Pellathy
Highmark Health
Adresse e-mail validée de pitt.edu
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Année
Robot learning in homes: Improving generalization and reducing dataset bias
A Gupta, A Murali, DP Gandhi, L Pinto
Advances in neural information processing systems 31, 2018
2132018
A call to alarms: current state and future directions in the battle against alarm fatigue
M Hravnak, T Pellathy, L Chen, A Dubrawski, A Wertz, G Clermont, ...
Journal of electrocardiology 51 (6), S44-S48, 2018
802018
Predictors of retention of students in an online nurse practitioner program
JM Knestrick, MR Wilkinson, TP Pellathy, J Lange-Kessler, R Katz, ...
The Journal for Nurse Practitioners 12 (9), 635-640, 2016
452016
Intensive Care Unit Scoring Systems
T Pellathy, MR Pinsky, M Hravnak
Crit Care Nurse 41 (4), 54–64, 2021
212021
Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside
S Helman, MA Terry, T Pellathy, A Williams, A Dubrawski, G Clermont, ...
International journal of medical informatics 159, 104643, 2022
142022
Accuracy of identifying hospital acquired venous thromboembolism by administrative coding: implications for big data and machine learning research
T Pellathy, M Saul, G Clermont, AW Dubrawski, MR Pinsky, M Hravnak
Journal of clinical monitoring and computing, 1-9, 2022
92022
A developmental trajectory supporting the evaluation and achievement of competencies: articulating the Mastery Rubric for the nurse practitioner (MR-NP) program curriculum
RE Tractenberg, MR Wilkinson, AW Bull, TP Pellathy, JB Riley
PLoS One 14 (11), e0224593, 2019
92019
Strategies for success in a nursing PhD program and beyond
MC Fisher, TF Gray, MK Uveges, KE Heinze, TP Pellathy, E Parrillo, ...
Journal of Professional Nursing 39, 187-193, 2022
42022
Engaging multidisciplinary clinical users in the design of an artificial intelligence–powered graphical user interface for intensive care unit instability decision support
S Helman, MA Terry, T Pellathy, M Hravnak, E George, S Al-Zaiti, ...
Applied Clinical Informatics 14 (04), 789-802, 2023
12023
58: IDENTIFYING TIME INTERVAL FEATURES PREDICTIVE OF HOSPITAL-ACQUIRED VENOUS THROMBOEMBOLISM
T Pellathy, L Chen, G Clermont, A Dubrawski, M Pinsky, M Hravnak
Critical Care Medicine 47 (1), 29, 2019
12019
Prevalence of Venous Thromboembolism (VTE) in an Adult Step-Down Unit Population: A Proof-of-Concept Feasibility Study for Machine Learning Predictive Model Development
T Pellathy, L Chen, A Dubrawski, G Clermont, M Pinsky, M Hravnak
NURSING RESEARCH 67 (2), E130-E130, 2018
12018
205: ACCURACY OF IDENTIFYING VENOUS THROMBOEMBOLISM BY ADMINISTRATIVE CODING COMPARED TO MANUAL REVIEW
T Pellathy, M Saul, G Clermont, C Nagpal, A Dubrawski, M Pinsky, ...
Critical Care Medicine 46 (1), 85, 2018
12018
Semi-supervised prediction of comorbid rare conditions using medical claims data
C Nagpal, K Miller, T Pellathy, M Hravnak, G Clermont, M Pinsky, ...
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 478-485, 2017
12017
1234: MEDICAL EMERGENCY TEAM CALLS TO WARD PATIENTS AFTER DOWN-TRANSFER FROM AN ICU
M Hravnak, G Clermont, S Helman, T Pellathy, T Lagattuta, M Saul, ...
Critical Care Medicine 50 (1), 617, 2022
2022
Cardiorespiratory Instability Prediction Using Individualized Patient Characteristics
S Helman, T Purcell-Pellathy, M Pinsky, A Dubrawski, M Hravnak
NURSING RESEARCH 69 (3), E126-E126, 2020
2020
Predicting Dynamically Evolving New-Onset Venous Thromboembolic (VTE) Event Risk in Hospitalized Patients
TP Pellathy, M Saul, MR Pinsky, M Hravnak
University of Pittsburgh, 2020
2020
1257: BINARIZED SEVERITY LEVEL OF FUTURE INSTABILITY RISK IN CONTINUOUSLY MONITORED PATIENTS
L Chen, A Dubrawski, G Clermont, T Pellathy, A Wertz, JH Yoon, M Pinsky, ...
Critical Care Medicine 47 (1), 605, 2019
2019
38: SUFFICIENT SAMPLING FREQUENCY FOR MACHINE LEARNING TO SEPARATE MONITORING ARTIFACT FROM INSTABILITY
A Wertz, M Hravnak, A Dubrawski, L Chen, T Pellathy, G Clermont, ...
Critical Care Medicine 46 (1), 19, 2018
2018
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