Mohamed F. Ghalwash

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 27

Top Topics

Sparse Regression

Outcome Prediction

Adverse Drug Reactions

Multitask Learning

Top Venues

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)
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)
Jade S. Franklin, Karan Bhanot, Mohamed F. Ghalwash, Kristin P. Bennett, Jamie P. McCusker, Deborah L. McGuinness
An Ontology for Fairness Metrics. AIES (2022)
Mohamed F. Ghalwash, Eileen Koski, Riitta Veijola, Jorma Toppari, William Hagopian, Marian Rewers, Vibha Anand
Simulating Screening for Risk of Childhood Diabetes: The Collaborative Open Outcomes tooL (COOL). AMIA (2021)
Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
Phenotypical ontology driven framework for multi-task learning. CHIL (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)
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)
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)
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)
Chao Han, Xi Hang Cao, Marija Stanojevic, Mohamed F. Ghalwash, Zoran Obradovic
Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning. SDM (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)
Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Zach Shahn, Daby Sow
Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. AMIA (2018)
Milos D. Radovic, Mohamed F. Ghalwash, Nenad Filipovic, Zoran Obradovic
Minimum redundancy maximum relevance feature selection approach for temporal gene expression data. BMC Bioinform. 18 (1) (2017)
Chao Han, Mohamed F. Ghalwash, Zoran Obradovic
Continuous Conditional Dependency Network for Structured Regression. AAAI (2017)
Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic
Cost Sensitive Time-Series Classification. ECML/PKDD (2) (2017)
Ivan Stojkovic, Mohamed F. Ghalwash, Zoran Obradovic
Ranking Based Multitask Learning of Scoring Functions. ECML/PKDD (2) (2017)
Mohamed F. Ghalwash, Ying Li, Ping Zhang, Jianying Hu
Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results. CIKM (2017)
Jesse Glass, Mohamed F. Ghalwash, Milan Vukicevic, Zoran Obradovic
Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster. AAAI (2016)
Mohamed F. Ghalwash, Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic
Structured feature selection using coordinate descent optimization. BMC Bioinform. 17 (2016)
Fang Zhou, Mohamed F. Ghalwash, Zoran Obradovic
A fast structured regression for large networks. IEEE BigData (2016)
Chao Han, Shanshan Zhang, Mohamed F. Ghalwash, Slobodan Vucetic, Zoran Obradovic
Joint Learning of Representation and Structure for Sparse Regression on Graphs. SDM (2016)
Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic
False alarm suppression in early prediction of cardiac arrhythmia. BIBE (2015)
Mohamed F. Ghalwash, Dusan Ramljak, Zoran Obradovic
Patient-specific early classification of multivariate observations. Int. J. Data Min. Bioinform. 11 (4) (2015)
Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic
Utilizing temporal patterns for estimating uncertainty in interpretable early decision making. KDD (2014)
Matt E. Oates, Pedro Romero, Takashi Ishida, Mohamed F. Ghalwash, Marcin J. Mizianty, Bin Xue, Zsuzsanna Dosztányi, Vladimir N. Uversky, Zoran Obradovic, Lukasz A. Kurgan, A. Keith Dunker, Julian Gough
: database of disordered protein predictions. Nucleic Acids Res. 41 (Database-Issue) (2013)
Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic
Extraction of Interpretable Multivariate Patterns for Early Diagnostics. ICDM (2013)
Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic
Early Diagnosis and Its Benefits in Sepsis Blood Purification Treatment. ICHI (2013)
Mohamed F. Ghalwash, Zoran Obradovic
Early classification of multivariate temporal observations by extraction of interpretable shapelets. BMC Bioinform. 13 (2012)
Mohamed F. Ghalwash, Dusan Ramljak, Zoran Obradovic
Early classification of multivariate time series using a hybrid HMM/SVM model. BIBM (2012)