Tanuja Chitnis

11 papers A* 1A 1B 1Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
From Structured EHR Data to Narratives: Large Language Models for Early Prediction of Multiple Sclerosis Relapse.
ICDM (Workshops)
Yijun Zhao, Evan Madill, Akayou A. Kitessa, Benjamin Castle, Aakruti R. Katre, Tanuja Chitnis
2022 B conf
Dirichlet Mixture of Gaussian Processes with Split-kernel: An Application to Predicting Disease Course in Multiple Sclerosis Patients.
IJCNN
Yijun Zhao, Tanuja Chitnis
2020 J jnl
Author Correction: Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study.
npj Digit. Medicine
Yijun Zhao, Tong Wang, Riley Bove, Bruce Cree, Roland Henry, Hrishikesh Lokhande, Mariann Polgar-Turcsanyi, Mark Anderson, Rohit Bakshi, Howard L. Weiner, Tanuja Chitnis
2020 J jnl
Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study.
npj Digit. Medicine
Yijun Zhao, Tong Wang, Riley Bove, Bruce Cree, Roland Henry, Hrishikesh Lokhande, Mariann Polgar-Turcsanyi, Mark Anderson, Rohit Bakshi, Howard L. Weiner, Tanuja Chitnis
2020 — conf
GRU-DF: A Temporal Model with Dynamic Imputation for Missing Target Values in Longitudinal Patient Data.
ICHI
Yijun Zhao, Matias Berretta, Tong Wang, Tanuja Chitnis
2019 J jnl
Quantifying neurologic disease using biosensor measurements in-clinic and in free-living settings in multiple sclerosis.
npj Digit. Medicine
Tanuja Chitnis, Bonnie I. Glanz, Cindy Gonzalez, Brian C. Healy, Taylor J. Saraceno, Neda Sattarnezhad, Camilo Diaz-Cruz, Mariann Polgar-Turcsanyi, Subhash Tummala, Rohit Bakshi, Vikram Bajaj, David Ben Shimol, Nikhil Bikhchandani, Alexander W. Blocker, Joshua Burkart, Raphael Cendrillon, Michael P. Cusack, Emre Demiralp, Sarel Kobus Jooste, Alaa Kharbouch, Amy A. Lee, Joseph Lehar, Manway Liu, Swaminathan Mahadevan, Mark Murphy, Linda C. Norton, Tushar Anil Parlikar, Anupam Pathak, Ali Shoeb, Erin Soderberg, Philip Stephens, Aaron H. Stoertz, Florence Thng, Kashyap R. Tumkur, Hongsheng Wang, Jane Rhodes, Richard A. Rudick, Richard M. Ransohoff, Glenn A. Phillips, Effie Bruzik, William J. Marks, Howard L. Weiner, Thomas M. Snyder
2015 A* conf
Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients.
ICDM
Yijun Zhao, Tanuja Chitnis, Brian C. Healy, Jennifer G. Dy, Carla E. Brodley
2015 J jnl
Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients.
Artif. Intell. Medicine
Jingjing Liu, Carla E. Brodley, Brian C. Healy, Tanuja Chitnis
2015 J jnl
Using multiple imputation to efficiently correct cerebral MRI whole brain lesion and atrophy data in patients with multiple sclerosis.
NeuroImage
Alicia S. Chua, Svetlana Egorova, Mark C. Anderson, Mariann Polgar-Turcsanyi, Tanuja Chitnis, Howard L. Weiner, Charles R. G. Guttmann, Rohit Bakshi, Brian C. Healy
2014 A conf
Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients.
SDM
Yijun Zhao, Carla E. Brodley, Tanuja Chitnis, Brian C. Healy
2013 — conf
Removing Confounding Factors via Constraint Based Clustering: An Application to Finding Homogeneous Groups of Multiple Sclerosis Patients.
ICHI
Jingjing Liu, Carla E. Brodley, Brian C. Healy, Tanuja Chitnis