Personalized heart failure severity estimates using passive smartphone data. - Ayse S. Cakmak; Erik Reinertsen; Herman A. Taylor; Amit J. Shah; Gari D. Clifford (IEEE BigData, 2018)

Obstructive Sleep Apnea Classification in a Mixed-Disorder Elderly Male Population Using a Low-Cost Off-Body Movement Sensor. - Pradyumna Byappanahalli Suresha; Ayse Selin Cakmak; Giulia Da Poian; Amit J. Shah; Viola Vaccarino; Donald L. Bliwise; Gari D. Clifford (BHI, 2019)

Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data. - Ayse S. Cakmak; Nina Thigpen; Garrett Honke; Erick Andres Perez-Alday; Ali Bahrami Rad; Rebecca Adaimi; Chia-Jung Chang; Qiao Li 011; Pramod Gupta; Thomas Neylan; Samuel A. McLean; Gari D. Clifford (CoRR, 2020)

Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure. - Ayse S. Cakmak; Samuel Densen; Gabriel Najarro; Pratik Rout; Christopher J. Rozell; Omer T. Inan; Amit J. Shah; Gari D. Clifford (CoRR, 2021)

Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort. - Ayse S. Cakmak; Erick Andres Perez-Alday; Giulia Da Poian; Ali Bahrami Rad; Thomas J. Metzler; Thomas Neylan; Stacey L. House; Francesca L. Beaudoin; Xinming An; Jennifer S. Stevens; Donglin Zeng; Sarah D. Linnstaedt; et al. (IEEE J. Biomed. Health Informatics, 2021)

Benchmarking changepoint detection algorithms on cardiac time series. - Ayse S. Cakmak; Erik Reinertsen; Shamim Nemati; Gari D. Clifford (CoRR, 2024)