Prithwish Chakraborty

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 39

Top Topics

Disease Surveillance

Electronic Medical Record

Clinically Relevant

Top Venues

Artif. Intell. Medicine

Publications

Shruthi Chari, Prasant Acharya, Daniel M. Gruen, Olivia Zhang, Elif K. Eyigöz, Mohamed F. Ghalwash, Oshani Seneviratne, Fernando J. Suarez Saiz, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. CoRR (2023)
Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. KDD (2023)
Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. CoRR (2023)
Shruthi Chari, Prasant Acharya, Daniel M. Gruen, Olivia Zhang, Elif K. Eyigöz, Mohamed F. Ghalwash, Oshani Seneviratne, Fernando J. Suarez Saiz, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. Artif. Intell. Medicine 137 (2023)
Sanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed F. Ghalwash, Fernando J. Suarez Saiz, Kenney Ng, Daby Sow, Kush R. Varshney, Pablo Meyer
Human-centered explainability for life sciences, healthcare, and medical informatics. Patterns 3 (5) (2022)
Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. KDD (2022)
Steve Nyemba, Chao Yan, Ziqi Zhang, Amol Rajmane, Pablo Meyer, Prithwish Chakraborty, Bradley A. Malin
Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database. CoRR (2022)
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. IJCAI (2021)
Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
Phenotypical ontology driven framework for multi-task learning. CHIL (2021)
Shruthi Chari, Prithwish Chakraborty, Mohamed Ghalwash, Oshani Seneviratne, Elif K. Eyigöz, Daniel M. Gruen, Fernando Suarez Saiz, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L. McGuinness
Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case. CoRR (2021)
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. CoRR (2021)
Rui Li, Stephanie Hu, Mingyu Lu, Yuria Utsumi, Prithwish Chakraborty, Daby M. Sow, Piyush Madan, Jun Li, Mohamed F. Ghalwash, Zach Shahn, Li-Wei H. Lehman
G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime. ML4H@NeurIPS (2021)
Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow
Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. AMIA (2021)
Parthasarathy Suryanarayanan, Prithwish Chakraborty, Piyush Madan, Kibichii Bore, William Ogallo, Rachita Chandra, Mohamed Ghalwash, Italo Buleje, Sekou L. Remy, Shilpa Mahatma, Pablo Meyer, Jianying Hu
Disease Progression Modeling Workbench 360. CoRR (2021)
Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner
KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health. KDD (2021)
Mohamed F. Ghalwash, Prithwish Chakraborty, Akira Koseki, Hiroki Yanagisawa, Toshiya Iwamori, Ray Tokumasu, Masaki Makino, Ryosuke Yanagiya, Atsushi Suzuki, Michiharu Kudo, Daby Sow
A Comparative Time-to-Event Analysis Across Health Systems. AMIA (2021)
Prithwish Chakraborty, James V. Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed Ghalwash, Zach Shahn, Parthasararathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Y. Yuen-Reed, Kenney Ng, Daby Sow, Bradley A. Malin
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. CoRR (2021)
Shruthi Chari, Prithwish Chakraborty, Oshani Seneviratne, Mohamed F. Ghalwash, Daniel M. Gruen, Daby Sow, Deborah L. McGuinness
Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology. AMIA (2021)
Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction. CoRR (2020)
Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed F. Ghalwash, Li-Wei H. Lehman
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes. CoRR (2020)
Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel Gruen, Kenney Ng, Daby Sow, Kush R. Varshney
Tutorial on Human-Centered Explainability for Healthcare. KDD (2020)
Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty, Bibo Hao, Italo Buleje, Piyush Madan, James V. Codella, Antonio Foncubierta, Divya Pathak, Sarah Miller, Amol Rajmane, Shannon Harrer, Gigi Yuan-Reed, Daby Sow
A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records. CoRR (2020)
Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
Phenotypical Ontology Driven Framework for Multi-Task Learning. CoRR (2020)
James V. Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed F. Ghalwash, Zijun Yao, Daby Sow
eXITs: An Ensemble Approach for Imputing Missing EHR Data. ICHI (2019)
Prithwish Chakraborty, Faisal Farooq
A Robust Framework for Accelerated Outcome-driven Risk Factor Identification from EHR. KDD (2019)
Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow
Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records. CoRR (2019)
Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
Generating Realistic Synthetic Population Datasets. ACM Trans. Knowl. Discov. Data 12 (4) (2018)
Prithwish Chakraborty, Bryan L. Lewis, Stephen G. Eubank, John S. Brownstein, Madhav Marathe, Naren Ramakrishnan
What to know before forecasting the flu. PLoS Comput. Biol. 14 (10) (2018)
Prithwish Chakraborty, Vishrawas Gopalakrishnan, Sharon Hensley Alford, Faisal Farooq
Data-driven Risk Characterization and Prediction of Renal Failure among Diabetic Type 2 Patients using Electronic Medical Records. AMIA (2017)
Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources. CoRR (2017)
Farzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe
A Framework for Evaluating Epidemic Forecasts. CoRR (2017)
Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources. KDD (2017)
Fang Jin, Wei Wang, Prithwish Chakraborty, Nathan Self, Feng Chen, Naren Ramakrishnan
Tracking Multiple Social Media for Stock Market Event Prediction. ICDM (2017)
Prithwish Chakraborty, Vishrawas Gopalakrishnan, Sharon M. H. Alford, Faisal Farooq
A Novel Data-Driven Framework for Risk Characterization and Prediction from Electronic Medical Records: A Case Study of Renal Failure. CoRR (2017)
Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach. CIKM (2016)
Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
Generating Realistic Synthetic Population Datasets. CoRR (2016)
Prithwish Chakraborty, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan
Hierarchical Quickest Change Detection via Surrogates. CoRR (2016)
Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan
Designing Domain Specific Word Embeddings: Applications to Disease Surveillance. CoRR (2016)
Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. CoRR (2016)
Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan
Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction. KDD (2015)
Pejman Khadivi, Prithwish Chakraborty, Ravi Tandon, Naren Ramakrishnan
Time series forecasting via noisy channel reversal. MLSP (2015)
Prithwish Chakraborty, Pejman Khadivi, Bryan L. Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. SDM (2014)
Tapan Kumar Gandhi, Prithwish Chakraborty, Gourab Ghosh Roy, Bijaya K. Panigrahi
Discrete harmony search based expert model for epileptic seizure detection in electroencephalography. Expert Syst. Appl. 39 (4) (2012)
Patrick Butler, Prithwish Chakraborty, Naren Ramakrishnan
The Deshredder: A visual analytic approach to reconstructing shredded documents. IEEE VAST (2012)
Prithwish Chakraborty, Manish Marwah, Martin F. Arlitt, Naren Ramakrishnan
Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble. AAAI (2012)
Prithwish Chakraborty, Swagatam Das, Gourab Ghosh Roy, Ajith Abraham
On convergence of the multi-objective particle swarm optimizers. Inf. Sci. 181 (8) (2011)
Prithwish Chakraborty, Swagatam Das, Gourab Ghosh Roy, Ajith Abraham
Erratum to "On convergence of the multi-objective particle swarm optimizers" [Inform. Sci 181 (2011) 1411-1425]. Inf. Sci. 181 (16) (2011)
Prithwish Chakraborty, Swagatam Das, Ajith Abraham, Václav Snásel, Gourab Ghosh Roy
On convergence of multi-objective Particle Swarm Optimizers. IEEE Congress on Evolutionary Computation (2010)
Gourab Ghosh Roy, Prithwish Chakraborty, Swagatam Das
controller using differential harmony search algorithm. Int. J. Bio Inspired Comput. 2 (5) (2010)
Gourab Ghosh Roy, Prithwish Chakraborty, Shi-Zheng Zhao, Swagatam Das, Ponnuthurai Nagaratnam Suganthan
Artificial foraging weeds for global numerical optimization over continuous spaces. IEEE Congress on Evolutionary Computation (2010)
Bijaya K. Panigrahi, Manas Kumar Mallick, Gourab Ghosh Roy, Prithwish Chakraborty
On Optimal Feature Selection using Modified Harmony Search for Power Quality Disturbance Classification. NaBIC (2009)
Prithwish Chakraborty, Gourab Ghosh Roy, Swagatam Das, Dhaval Jain, Ajith Abraham
An Improved Harmony Search Algorithm with Differential Mutation Operator. Fundam. Informaticae 95 (4) (2009)
Prithwish Chakraborty, Gourab Ghosh Roy, Swagatam Das, Bijaya K. Panigrahi
On Population Variance and Explorative Power of Invasive Weed Optimization Algorithm. NaBIC (2009)