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ORCIDMohamed F. Ghalwash
Person information
- affiliation: IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA
- affiliation: Temple University, Center for Data Analytics and Biomedicai Informatics, Philadelphia, PA, USA
- affiliation: Ain Shams University, Mathematics Department, Cairo, Egypt
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2020 – today
- 2024
[j8]Shruthi Chari, Oshani Seneviratne, Mohamed F. Ghalwash, Sola Shirai, Daniel M. Gruen, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness:
Explanation Ontology: A general-purpose, semantic representation for supporting user-centered explanations. Semantic Web 15(4): 959-989 (2024)- 2023
- [j7]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: 102498 (2023) - [i7]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 abs/2302.05752 (2023) - 2022
- [j6]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): 100493 (2022) - [c26]Jade S. Franklin, Karan Bhanot, Mohamed F. Ghalwash, Kristin P. Bennett, Jamie P. McCusker, Deborah L. McGuinness:
An Ontology for Fairness Metrics. AIES 2022: 265-275 - 2021
- [c25]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 - [c24]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 - [c23]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 - [c22]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 - [c21]Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow:
Phenotypical ontology driven framework for multi-task learning. CHIL 2021: 183-192 - [c20]Rui Li, Stephanie M. 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: 282-299 - [i6]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 F. Ghalwash, Zach Shahn, Parthasarathy 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 abs/2104.04377 (2021) - [i5]Parthasarathy Suryanarayanan, Prithwish Chakraborty, Piyush Madan, Kibichii Bore, William Ogallo, Rachita Chandra, Mohamed F. Ghalwash, Italo Buleje, Sekou L. Remy, Shilpa Mahatma, Pablo Meyer, Jianying Hu:
Disease Progression Modeling Workbench 360. CoRR abs/2106.13265 (2021) - [i4]Shruthi Chari, Prithwish Chakraborty, Mohamed F. Ghalwash, Oshani Seneviratne, Elif K. Eyigöz, Daniel M. Gruen, Fernando J. Suarez Saiz, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L. McGuinness:
Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case. CoRR abs/2107.02359 (2021) - 2020
- [c19]Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Chandramouli Maduri, Daby Sow, Zachary Shahn:
Finding Causal Mechanistic Drug-Drug Interactions from Observational Data. AMIA 2020 - [c18]Mohamed F. Ghalwash, Vibha Anand, Kenney Ng, Jessica L. Dunne, Markus Lundgren, Marian Rewers, Riitta Veijola:
Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes. AMIA 2020 - [c17]Ying Li, Bin Liu, Vibha Anand, Markus Lundgren, Kenney Ng, Marian Rewers, Riitta Veijola, Mohamed F. Ghalwash:
Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology. AMIA 2020 - [c16]Mohamed F. Ghalwash, Daby Sow:
A Multi-Task Learning Approach to Personalized Progression Modeling. ICHI 2020: 1-9 - [i3]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 abs/2003.10551 (2020) - [i2]Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow:
ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction. CoRR abs/2005.06434 (2020) - [i1]Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow:
Phenotypical Ontology Driven Framework for Multi-Task Learning. CoRR abs/2009.02188 (2020)
2010 – 2019
- 2019
- [c15]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: 1-3 - [c14]Chao Han, Xi Hang Cao, Marija Stanojevic, Mohamed F. Ghalwash, Zoran Obradovic:
Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning. SDM 2019: 360-368 - 2018
- [c13]Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Zach Shahn, Daby Sow:
Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. AMIA 2018 - 2017
- [j5]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): 9:1-9:14 (2017) - [c12]Chao Han, Mohamed F. Ghalwash, Zoran Obradovic:
Continuous Conditional Dependency Network for Structured Regression. AAAI 2017: 1962-1968 - [c11]Mohamed F. Ghalwash, Ying Li, Ping Zhang, Jianying Hu:
Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results. CIKM 2017: 1837-1846 - [c10]Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic:
Cost Sensitive Time-Series Classification. ECML/PKDD (2) 2017: 495-511 - [c9]Ivan Stojkovic, Mohamed F. Ghalwash, Zoran Obradovic:
Ranking Based Multitask Learning of Scoring Functions. ECML/PKDD (2) 2017: 721-736 - 2016
- [j4]Mohamed F. Ghalwash, Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic:
Structured feature selection using coordinate descent optimization. BMC Bioinform. 17: 158 (2016) - [c8]Jesse Glass, Mohamed F. Ghalwash, Milan Vukicevic, Zoran Obradovic:
Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster. AAAI 2016: 1596-1602 - [c7]Fang Zhou, Mohamed F. Ghalwash, Zoran Obradovic:
A fast structured regression for large networks. IEEE BigData 2016: 106-115 - [c6]Chao Han, Shanshan Zhang, Mohamed F. Ghalwash, Slobodan Vucetic, Zoran Obradovic:
Joint Learning of Representation and Structure for Sparse Regression on Graphs. SDM 2016: 846-854 - 2015
- [j3]Mohamed F. Ghalwash, Dusan Ramljak, Zoran Obradovic:
Patient-specific early classification of multivariate observations. Int. J. Data Min. Bioinform. 11(4): 392-411 (2015) - [c5]Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic:
False alarm suppression in early prediction of cardiac arrhythmia. BIBE 2015: 1-6 - 2014
- [c4]Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic:
Utilizing temporal patterns for estimating uncertainty in interpretable early decision making. KDD 2014: 402-411 - 2013
- [j2]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:
D2P2: database of disordered protein predictions. Nucleic Acids Res. 41(Database-Issue): 508-516 (2013) - [c3]Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic:
Extraction of Interpretable Multivariate Patterns for Early Diagnostics. ICDM 2013: 201-210 - [c2]Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic:
Early Diagnosis and Its Benefits in Sepsis Blood Purification Treatment. ICHI 2013: 523-528 - 2012
- [j1]Mohamed F. Ghalwash, Zoran Obradovic:
Early classification of multivariate temporal observations by extraction of interpretable shapelets. BMC Bioinform. 13: 195 (2012) - [c1]Mohamed F. Ghalwash, Dusan Ramljak, Zoran Obradovic:
Early classification of multivariate time series using a hybrid HMM/SVM model. BIBM 2012: 1-6
Coauthor Index
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