Daby Sow

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 29

Top Topics

Electronic Health Records

Observational Data

Ontology Driven

Disease Progression

Top Venues

Publications

Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data. ACM Trans. Inf. Syst. 41 (4) (2023)
Muhammed Fatih Bulut, Abdulhamid Adebayo, Daby Sow, Steve Ocepek
Vulnerability Prioritization: An Offensive Security Approach. CoRR (2022)
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)
Bekir Oguzhan Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslaw Zola, Daby Sow
GreenABR: energy-aware adaptive bitrate streaming with deep reinforcement learning. MMSys (2022)
Abdulhamid Adebayo, Daby Sow, Muhammed Fatih Bulut
Automated Compliance Blueprint Optimization with Artificial Intelligence. CoRR (2022)
Constantin Adam, Muhammed Fatih Bulut, Daby Sow, Steven Ocepek, Chris Bedell, Lilian Ngweta
Attack Techniques and Threat Identification for Vulnerabilities. CoRR (2022)
Q. Vera Liao, Milena Pribic, Jaesik Han, Sarah Miller, Daby Sow
Question-Driven Design Process for Explainable AI User Experiences. CoRR (2021)
Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
Phenotypical ontology driven framework for multi-task learning. CHIL (2021)
Zefang Tang, Yiqin Yu, Kenney Ng, Daby Sow, Jianying Hu, Jing Mei
Disease network delineates the disease progression profile of cardiovascular diseases. J. Biomed. Informatics 115 (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)
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)
Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Chandramouli Maduri, Daby Sow, Zachary Shahn
Finding Causal Mechanistic Drug-Drug Interactions from Observational Data. AMIA (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)
Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Sepsis Treatment. CoRR (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)
Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients. AMIA (2020)
Mohamed F. Ghalwash, Daby Sow
A Multi-Task Learning Approach to Personalized Progression Modeling. ICHI (2020)
Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
Phenotypical Ontology Driven Framework for Multi-Task Learning. CoRR (2020)
Sanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng
PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data. KDD (2019)
Arvind Gupta, Biplav Srivastava, Daby Sow, Ching-Hua Chen, Oshani Seneviratne
Reflections on the Ingredients for Success in AI Research: An Interview with Arvind Gupta. AI Mag. 40 (4) (2019)
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)
Ching-Hua Chen, James A. Hendler, Sabbir M. Rashid, Oshani Seneviratne, Daby Sow, Biplav Srivastava
Reflections on Successful Research in Artificial Intelligence: An Introduction. AI Mag. 40 (4) (2019)
Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow
Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records. CoRR (2019)
Oliver Ren, Alistair E. W. Johnson, Eric P. Lehman, Matthieu Komorowski, Jerome Aboab, Fengyi Tang, Zach Shahn, Daby Sow, Roger G. Mark, Li-Wei H. Lehman
Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data. ICHI (2018)
Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Zach Shahn, Daby Sow
Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. AMIA (2018)