C. Daluwatte

发表

Effect of hemorrhage rate on early hemodynamic responses in conscious sheep

D. Strauss, G. Kramer, C. Scully, 2016, Physiological reports.

Assessing ECG signal quality indices to discriminate ECGs with artefacts from pathologically different arrhythmic ECGs

D. Strauss, J. Vicente, L. Johannesen, 2016, Physiological measurement.

Credibility Evidence for Computational Patient Models Used in the Development of Physiological Closed-Loop Controlled Devices for Critical Care Medicine

Pras Pathmanathan, Sandy Weininger, Christopher G. Scully, 2019, Front. Physiol..

Detecting atrial fibrillation from short single lead ECGs using statistical and morphological features

Chathuri Daluwatte, Mohamed Athif, Pamodh Chanuka Yasawardene, 2018, Physiological measurement.

Predicting potential adverse events using safety data from marketed drugs

Rebecca Racz, David G. Strauss, Chathuri Daluwatte, 2020, BMC Bioinformatics.

Variability analysis for noisy physiological signals: A simulation study

Christopher G. Scully, Chathuri Daluwatte, Farid Yaghouby, 2016, 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Progression and variability of physiologic deterioration in an ovine model of lung infection sepsis.

D. Strauss, Farid Yaghouby, G. Kramer, 2017, Journal of applied physiology.

Verification and validation of computational models used in biopharmaceutical manufacturing: Potential application of the ASME Verification and Validation 40 standard and FDA proposed AI/ML model life cycle management framework.

C. Daluwatte, T. Zahel, Gautier Bideault, 2021, Journal of pharmaceutical sciences.

Estimating the pertussis burden in adolescents and adults in the United States between 2007 and 2019

D. Macina, C. Daluwatte, Martin Montmerle, 2023, Human vaccines & immunotherapeutics.

Development of an algorithm for finding pertussis episodes in a population-based electronic health record database

D. Macina, C. Daluwatte, Martin Montmerle, 2023, Human vaccines & immunotherapeutics.

Impact of Case and Control Selection on Training AI Screening of Cardiac Amyloidosis

R. Witteles, C. Daluwatte, A. Vrudhula, 2023, medRxiv.

A framework to characterize the performance of early warning index alarm systems for patient monitoring

Christopher G. Scully, Chathuri Daluwatte, Farid Yaghouby, 2019, MethodsX.

Evaluating performance of early warning indices to predict physiological instabilities

Christopher G. Scully, Chathuri Daluwatte, C. Scully, 2017, J. Biomed. Informatics.

Sex Differences of Patients With Systemic Hypertension (From the Analysis of the Systolic Blood Pressure Intervention Trial [SPRINT]).

R. Zusterzeel, C. Daluwatte, R. Ochoa-Jimenez, 2018, The American journal of cardiology.

Clinical Trial in a Dish: Personalized Stem Cell–Derived Cardiomyocyte Assay Compared With Clinical Trial Results for Two QT‐Prolonging Drugs

D. Strauss, J. Vicente, K. Blinova, 2019, Clinical and translational science.

Graph-Based Natural Language Processing for the Pharmaceutical Industry

C. Molony, A. Dumitriu, C. Daluwatte, 2020, Provenance in Data Science.

A novel ECG detector performance metric and its relationship with missing and false heart rate limit alarms.

David G Strauss, Chathuri Daluwatte, Loriano Galeotti, 2017, Journal of electrocardiology.

Combination of rule based classification and decision trees to identify low quality ECG

Chathuri Daluwatte, Mohamed Athif, C. Daluwatte, 2017, 2017 IEEE International Conference on Industrial and Information Systems (ICIIS).

Heartbeat fusion algorithm to reduce false alarms for arrhythmias

José Vicente, Christopher G. Scully, Chathuri Daluwatte, 2015, 2015 Computing in Cardiology Conference (CinC).

Impact of Case and Control Selection on Training Artificial Intelligence Screening of Cardiac Amyloidosis

C. Daluwatte, A. Vrudhula, David Ouyang, 2024, JACC: Advances.