Mohamed F. Ghalwash
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
8
Active years
2013–2022
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | AIES | An Ontology for Fairness Metrics. | Jade S. Franklin, Karan Bhanot, Mohamed F. Ghalwash, Kristin P. Bennett, Jamie P. McCusker, Deborah L. McGuinness |
| 2021 | AMIA | Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology. | Shruthi Chari, Prithwish Chakraborty, Oshani Seneviratne, Mohamed F. Ghalwash, Daniel M. Gruen, Daby Sow, Deborah L. McGuinness |
| 2021 | AMIA | Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. | Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmn-Senz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow |
| 2021 | AMIA | A Comparative Time-to-Event Analysis Across Health Systems. | Mohamed F. Ghalwash, Prithwish Chakraborty, Akira Koseki, Hiroki Yanagisawa, Toshiya Iwamori, Ray Tokumasu, Masaki Makino, Ryosuke Yanagiya, Atsushi Suzuki, Michiharu Kudo, Daby Sow |
| 2021 | AMIA | Simulating Screening for Risk of Childhood Diabetes: The Collaborative Open Outcomes tooL (COOL). | Mohamed F. Ghalwash, Eileen Koski, Riitta Veijola, Jorma Toppari, William Hagopian, Marian Rewers, Vibha Anand |
| 2020 | AMIA | Finding Causal Mechanistic Drug-Drug Interactions from Observational Data. | Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Chandramouli Maduri, Daby Sow, Zachary Shahn |
| 2020 | AMIA | Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes. | Mohamed F. Ghalwash, Vibha Anand, Kenney Ng, Jessica L. Dunne, Markus Lundgren, Marian Rewers, Riitta Veijola |
| 2020 | AMIA | Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology. | Ying Li, Bin Liu, Vibha Anand, Markus Lundgren, Kenney Ng, Marian Rewers, Riitta Veijola, Mohamed F. Ghalwash |
| 2019 | SDM | Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning. | Chao Han, Xi Hang Cao, Marija Stanojevic, Mohamed F. Ghalwash, Zoran Obradovic |
| 2018 | AMIA | Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. | Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Zach Shahn, Daby Sow |
| 2017 | AAAI | Continuous Conditional Dependency Network for Structured Regression. | Chao Han, Mohamed F. Ghalwash, Zoran Obradovic |
| 2017 | CIKM | Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results. | Mohamed F. Ghalwash, Ying Li, Ping Zhang, Jianying Hu |
| 2016 | AAAI | Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster. | Jesse Glass, Mohamed F. Ghalwash, Milan Vukicevic, Zoran Obradovic |
| 2016 | SDM | Joint Learning of Representation and Structure for Sparse Regression on Graphs. | Chao Han, Shanshan Zhang, Mohamed F. Ghalwash, Slobodan Vucetic, Zoran Obradovic |
| 2015 | BIBE | False alarm suppression in early prediction of cardiac arrhythmia. | Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic |
| 2014 | KDD | Utilizing temporal patterns for estimating uncertainty in interpretable early decision making. | Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic |
| 2013 | ICDM | Extraction of Interpretable Multivariate Patterns for Early Diagnostics. | Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic |