Meghamala Sinha

According to our database, Meghamala Sinha authored at least 7 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Correction: Causal analysis for multivariate integrated clinical and environmental exposures data.

Meghamala Sinha, Perry Haaland, Ashok K. Krishnamurthy, Bo Lan, Stephen A. Ramsey, Patrick L. Schmitt, Priya Sharma, Hao Xu, Karamarie Fecho

BMC Medical Informatics Decis. Mak., December, 2025

Causal analysis for multivariate integrated clinical and environmental exposures data.

Meghamala Sinha, Perry Haaland, Ashok K. Krishnamurthy, Bo Lan, Stephen A. Ramsey, Patrick L. Schmitt, Priya Sharma, Hao Xu, Karamarie Fecho

BMC Medical Informatics Decis. Mak., December, 2025

2023

Evaluating robustness of a generalized linear model when applied to electronic health record data accessed using an Open API.

Priya Sharma, Perry Haaland, Ashok K. Krishnamurthy, Bo Lan, Patrick L. Schmitt, Meghamala Sinha, Hao Xu, Karamarie Fecho

Health Informatics J., April, 2023

ARAX: a graph-based modular reasoning tool for translational biomedicine.

Amy Glen, Chunyu Ma, Luis Mendoza, Finn Womack, E. C. Wood, Meghamala Sinha, Liliana Acevedo, Lindsey G. Kvarfordt, Ross C. Peene, Shaopeng Liu, Andrew S. Hoffman, Jared C. Roach, Eric W. Deutsch, Stephen A. Ramsey, David Koslicki

Bioinform., March, 2023

2022

RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine.

E. C. Wood, Amy Glen, Lindsey G. Kvarfordt, Finn Womack, Liliana Acevedo, Timothy S. Yoon, Chunyu Ma, Veronica Flores, Meghamala Sinha, Yodsawalai Chodpathumwan, Arash Termehchy, Jared C. Roach, Luis Mendoza, Andrew S. Hoffman, Eric W. Deutsch, David Koslicki, Stephen A. Ramsey

BMC Bioinform., 2022

2021

Using a General Prior Knowledge Graph to Improve Data-Driven Causal Network Learning.

Meghamala Sinha, Stephen A. Ramsey

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

2016

A Probabilistic Approach for Detection and Analysis of Cognitive Flow.

Debatri Chatterjee, Aniruddha Sinha, Meghamala Sinha, Sanjoy Kumar Saha

Proceedings of the 13th UAI Bayesian Modeling Applications Workshop (BMAW 2016) co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016