Mohamed F. Ghalwash

41 papers A* 4A 3C 2Misc 8Journal 15Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Explanation Ontology: A general-purpose, semantic representation for supporting user-centered explanations. Semantic Web Shruthi Chari, Oshani Seneviratne, Mohamed F. Ghalwash, Sola Shirai, Daniel M. Gruen, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness
2023	J	`jnl`	Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. Artif. Intell. Medicine 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
2023	J	`jnl`	Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. CoRR 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
2022	C	`conf`	An Ontology for Fairness Metrics. AIES Jade S. Franklin, Karan Bhanot, Mohamed F. Ghalwash, Kristin P. Bennett, Jamie P. McCusker, Deborah L. McGuinness
2022	J	`jnl`	Human-centered explainability for life sciences, healthcare, and medical informatics. Patterns 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
2021	Misc	`conf`	A Comparative Time-to-Event Analysis Across Health Systems. AMIA Mohamed F. Ghalwash, Prithwish Chakraborty, Akira Koseki, Hiroki Yanagisawa, Toshiya Iwamori, Ray Tokumasu, Masaki Makino, Ryosuke Yanagiya, Atsushi Suzuki, Michiharu Kudo, Daby Sow
2021	J	`jnl`	Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. CoRR 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
2021	J	`jnl`	Disease Progression Modeling Workbench 360. CoRR 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
2021	—	`conf`	G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime. ML4H@NeurIPS 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
2021	Misc	`conf`	Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. AMIA Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow
2021	J	`jnl`	Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case. CoRR 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
2021	—	`conf`	Phenotypical ontology driven framework for multi-task learning. CHIL Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
2021	Misc	`conf`	Simulating Screening for Risk of Childhood Diabetes: The Collaborative Open Outcomes tooL (COOL). AMIA Mohamed F. Ghalwash, Eileen Koski, Riitta Veijola, Jorma Toppari, William Hagopian, Marian Rewers, Vibha Anand
2021	Misc	`conf`	Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology. AMIA Shruthi Chari, Prithwish Chakraborty, Oshani Seneviratne, Mohamed F. Ghalwash, Daniel M. Gruen, Daby Sow, Deborah L. McGuinness
2020	—	`conf`	A Multi-Task Learning Approach to Personalized Progression Modeling. ICHI Mohamed F. Ghalwash, Daby Sow
2020	Misc	`conf`	Finding Causal Mechanistic Drug-Drug Interactions from Observational Data. AMIA Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Chandramouli Maduri, Daby Sow, Zachary Shahn
2020	J	`jnl`	G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes. CoRR Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed F. Ghalwash, Li-Wei H. Lehman
2020	Misc	`conf`	Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes. AMIA Mohamed F. Ghalwash, Vibha Anand, Kenney Ng, Jessica L. Dunne, Markus Lundgren, Marian Rewers, Riitta Veijola
2020	J	`jnl`	ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction. CoRR Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
2020	J	`jnl`	Phenotypical Ontology Driven Framework for Multi-Task Learning. CoRR Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
2020	Misc	`conf`	Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology. AMIA Ying Li, Bin Liu, Vibha Anand, Markus Lundgren, Kenney Ng, Marian Rewers, Riitta Veijola, Mohamed F. Ghalwash
2019	A	`conf`	Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning. SDM Chao Han, Xi Hang Cao, Marija Stanojevic, Mohamed F. Ghalwash, Zoran Obradovic
2019	—	`conf`	eXITs: An Ensemble Approach for Imputing Missing EHR Data. ICHI James V. Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed F. Ghalwash, Zijun Yao, Daby Sow
2018	Misc	`conf`	Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. AMIA Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Zach Shahn, Daby Sow
2017	A*	`conf`	Continuous Conditional Dependency Network for Structured Regression. AAAI Chao Han, Mohamed F. Ghalwash, Zoran Obradovic
2017	—	`conf`	Cost Sensitive Time-Series Classification. ECML/PKDD (2) Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic
2017	A	`conf`	Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results. CIKM Mohamed F. Ghalwash, Ying Li, Ping Zhang, Jianying Hu
2017	J	`jnl`	Minimum redundancy maximum relevance feature selection approach for temporal gene expression data. BMC Bioinform. Milos D. Radovic, Mohamed F. Ghalwash, Nenad Filipovic, Zoran Obradovic
2017	—	`conf`	Ranking Based Multitask Learning of Scoring Functions. ECML/PKDD (2) Ivan Stojkovic, Mohamed F. Ghalwash, Zoran Obradovic
2016	—	`conf`	A fast structured regression for large networks. IEEE BigData Fang Zhou, Mohamed F. Ghalwash, Zoran Obradovic
2016	A*	`conf`	Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster. AAAI Jesse Glass, Mohamed F. Ghalwash, Milan Vukicevic, Zoran Obradovic
2016	A	`conf`	Joint Learning of Representation and Structure for Sparse Regression on Graphs. SDM Chao Han, Shanshan Zhang, Mohamed F. Ghalwash, Slobodan Vucetic, Zoran Obradovic
2016	J	`jnl`	Structured feature selection using coordinate descent optimization. BMC Bioinform. Mohamed F. Ghalwash, Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic
2015	C	`conf`	False alarm suppression in early prediction of cardiac arrhythmia. BIBE Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic
2015	J	`jnl`	Patient-specific early classification of multivariate observations. Int. J. Data Min. Bioinform. Mohamed F. Ghalwash, Dusan Ramljak, Zoran Obradovic
2014	A*	`conf`	Utilizing temporal patterns for estimating uncertainty in interpretable early decision making. KDD Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic
2013	J	`jnl`	D Nucleic Acids Res. 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
2013	—	`conf`	Early Diagnosis and Its Benefits in Sepsis Blood Purification Treatment. ICHI Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic
2013	A*	`conf`	Extraction of Interpretable Multivariate Patterns for Early Diagnostics. ICDM Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic
2012	J	`jnl`	Early classification of multivariate temporal observations by extraction of interpretable shapelets. BMC Bioinform. Mohamed F. Ghalwash, Zoran Obradovic
2012	—	`conf`	Early classification of multivariate time series using a hybrid HMM/SVM model. BIBM Mohamed F. Ghalwash, Dusan Ramljak, Zoran Obradovic