Publications

Shruthi Chari, Oshani Seneviratne, Mohamed Ghalwash, Sola Shirai, Daniel M Gruen, Pablo Meyer, Prithwish Chakraborty, Deborah L McGuinness (2024). Explanation Ontology: A General-Purpose, Semantic Representation for Supporting User-Centered Explanations. Semantic Web – Interoperability, Usability, Applicability.

Mohamed Ghalwash, Vibha Anand, Kenny Ng, Jessica Dunne, Olivia Lou, Markus Lundgren, William A Hagopian, Marian Rewers, Anette-G Ziegler, Riitta Veijola, T1DI Study Group (2024). Data-Driven Phenotyping of Presymptomatic Type 1 Diabetes Using Longitudinal Autoantibody Profiles. Diabetes Care.

Brigitte I. Frohnert, Mohamed Ghalwash, Ying Li, Kenney Ng, Jessica L. Dunne, Markus Lundgren, William Hagopian, Olivia Lou, Christiane Winkler, Jorma Toppari, Riitta Veijola, Vibha, Anand, the T1DI Study Group (2023). Refining the Definition of Stage 1 Type 1 Diabetes: An Ontology-Driven Analysis of the Heterogeneity of Multiple Islet Autoimmunity. Diabetes Care.

Shruthi Chari, Prasant Acharya, Daniel M. Gruen, Olivia Zhang, Elif K. Eyigoz, Mohamed Ghalwash, Oshani Seneviratne, Fernando S. Saiz, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness (2023). Informing Clinical Assessment by Contextualizing Post-Hoc Explanations of Risk Prediction Models in Type-2 Diabetes. Artificial Intelligence In Medicine.

Mohamed Ghalwash, Vibha Anand, Olivia Lou, Frank Martin, Marian Rewers, Anette-G Ziegler, Jorma Toppari, William A Hagopian, Riitta Veijola, T1DI Study Group (2023). Islet Autoantibody Screening In At-Risk Adolescents To Predict Type 1 Diabetes Until Young Adulthood: A Prospective Cohort Study. The Lancet Child & Adolescent Health.

Mohamed Ghalwash, Akira Koseki, Toshiya Iwamori, Michiharu Kudo, Pablo Meyer (2023). Interpretable Stratification for Chronic Kidney Disease Progression Based on Time to Event Analysis. AMIA Informatics Summit.

Kenney Ng, Mohamed Ghalwash, Prithwish Chakraborty, Daby M Sow, Akira Koseki, Hiroki Yanagisawa, Michiharu Kudo (2022). Data-Driven Disease Progression Modeling. Healthcare Information Management Systems: Cases, Strategies, and Solutions.

Mohamed Ghalwash, Jessica L Dunne, Markus Lundgren, Marian Rewers, Anette-G Ziegler, Vibha Anand, Jorma Toppari, Riitta Veijola, William Hagopian, T1DI Study Group (2022). Two-Age Islet-Autoantibody Screening for Childhood Type 1 Diabetes: A Prospective Cohort Study. The Lancet Diabetes & Endocrinology.

Richard Rauck, Zijun Yao, Mohamed Ghalwash, Daby Sow, Pritish Parida, Sara Berger, Eric Loudermilk, Louis Bojrab, John Noles, Todd Turley, Mohab Ibrahim, Amol Patwardhan, James Scowcroft, Rene Przkora, Nathan Miller, Kristen Lechleiter, Gassan Chaiban, Brad Hershey, Dat Huynh, Matt McDonald, Jeffrey Rogers (2022). Predicting Pain Now and in the Future Through Personalized Physiologic Mobility Metrics. Neuromodulation: Technology at the Neural Interface.

Mohamed Ghalwash (2022). Improving the Computational Complexity of the COOL Screening Tool. International Journal of Advanced Computer Science and Applications.

Jade S Franklin, Karan Bhanot, Mohamed Ghalwash, Kristin P Bennett, Jamie McCusker, Deborah L McGuinness (2022). An Ontology for Fairness Metrics. Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES).

Sanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed Ghalwash, Fernando J Suarez Saiz, Kenney Ng, Daby Sow, Kush R Varshney, Pablo Meyer (2022). Human-Centered Explainability For Life Sciences, Healthcare, And Medical Informatics. Patterns.

Sanjoy Dey, Mohamed Ghalwash, Ping Zhang (2021). Finding Precise Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. Google Patents.

Prithwish Chakraborty, Mohamed Ghalwash, Daby Sow (2021). Carbon Tuner . Google Patents.

Rui Li, Stephanie Hu, Mingyu Lu, Yuria Utsumi, Prithwish Chakraborty, Daby M Sow, Piyush Madan, Jun Li, Mohamed Ghalwash, Zach Shahn, Li-wei Lehman (2021). G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime. Proceedings of Machine Learning for Health (ML4H).

Sanjoy Dey, Aritra Bose, Prithwish Chakraborty, Mohamed Ghalwash, Aldo Guzman Saenz, Filippo Utro, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow (2021). Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. AMIA Annual Symposium.

Mohamed Ghalwash, Prithwish Chakraborty, Akira Koseki, Hiroki Yanagisawa, Toshiya Iwamori, Reitaro Tokumasu, Masaki Makino, Ryosuke Yanagiya, Atsushi Suzuki, Michiharu Kudo, Daby Sow (2021). A Comparative Time-to-Event Analysis Across Health Systems. AMIA Annual Symposium.

Parthasarathy Suryanarayanan, Prithwish Chakraborty, Piyush Madan, Nelson Bore, William Ogallo, Rachita Chandra, Mohamed Ghalwash, Italo Buleje, Sekou Remy, Shreyans Sethi, Shilpa Mahatma, Pablo Meyer Rojas, Jianying Hu (2021). Disease Progression Modeling Workbench 360.

Shruthi Chari, Prithwish Chakraborty, Mohamed Ghalwash, Oshani Seneviratne, Elif K Eyigoz, Daniel M Gruen, Fernando Suarez Saiz, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L McGuinness (2021). Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case. KDD Workshop on Applied Data Science for Healthcare (DSHealth).

Fernando Suarez Saiz, Sanjoy Dey, Prithwish Chakraborty, Mohamed Ghalwash, Pablo Meyer (2021). Transparent and Distributed AI Prediction Modeling: A Case Study on Pediatric Covid. Machine Learning for Health Care (MLHC).

Kenney Ng, Mohamed Ghalwash, Vibha Anand, Uri Kartoun, Ying Li (2021). A Method For Developing An Ontology Based On Biomarker Information To Improve Clinical Prediction. Google Patents.

Mohamed Ghalwash, Zijun Yao, Prithwish Chakraporty, James Codella, Daby Sow (2021). Phenotypical Ontology Driven Framework For Multi-Task Learning. Proceedings of the Conference on Health, Inference, and Learning (CHIL).

Daby Sow, Mohamed Ghalwash, Pritish R. Parida, Qinghuang Lin (2021). System and Method of On-Demand Treatment of Pain in Targeted Area of a Human Subject. Google Patents.

Ying Li, Bin Liu, Vibha Anand, Jessica L Dunne, Markus Lundgren, Kenney Ng, Marian Rewers, Riitta Veijola, Mohamed Ghalwash, T1DI Study Group (2021). Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology. AMIA Annual Symposium.

Sanjoy Dey, Ping Zhang, Mohamed Ghalwash, Chandramouli Maduri, Daby Sow, Zach Shahn (2021). Finding Causal Mechanistic Drug-Drug Interactions from Observational Data. AMIA Annual Symposium.

Mohamed Ghalwash, Yao Zijun, Prithwish Chakraborty, James V. Codella, Daby Sow (2020). A System for Generating Specialized Phenotypical Embedding. Google Patents.

Mohamed Ghalwash, Zijun Yao, Prithwish Chakrabotry, James Codella, Daby Sow (2020). ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction. Advances in Neural Information Processing Systems (NeurIPS).

Mohamed Ghalwash, Daby Dow (2020). A Multi-Task Learning Approach to Personalized Progression Modeling. 2020 IEEE International Conference on Healthcare Informatics (ICHI).

Mohamed Ghalwash, Vibha Anand, Kenney Ng, Jessica L Dunne, Markus Lundgren, Marian Rewers, Riitta Veijola (2020). Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes. AMIA Annual Symposium.

Mohamed Ghalwash, Vibha Anand, Eileen Koski (2020). COOL - A Screening Collaborative Open Outcomes Tool. Google Patents.

Prithwish Chakraborty, Michal Ozery-Flato, Kristen Severson, Eryu Xia, Mohamed Ghalwash, Eleftheria Pissadaki, Jing Mei, Fei Wang, Kenney Ng, Amar Das, Jianying Hu, Daby Sow (2020). Computational Phenotyping with Limited Data and Winning the Partners Healthcare Biobank Challenge. Symposium on Artificial Intelligence for Learning Health Systems (SAIL).

Mohamed Ghalwash, Vibha Anand, William Hagopian, Markus Lundgren, Marian Rewers, Riitta Veijola, Anette-Gabriele Ziegler, Jessica L Dunne, T1DI Study Group (2020). Optimal Ages for Screening for T1D Risk in Children. Diabetes.

Cao Xiao, Daby Sow, Mohamed Ghalwash, Sanjoy Dey, Zachary Shahn (2019). Learning Interpretable Strategies in the Presence of Existing Domain Knowledge. Google Patents.

James Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed Ghalwash, Zijun Yao, Daby Sow (2019). eXITs: An Ensemble Approach for Imputing Missing EHR Data. 2019 IEEE international conference on healthcare informatics (ICHI).

Bin Liu, Mohamed Ghalwash, Vibha Anand, Eileen Koski, Kenney Ng, Jessica L Dunne, Markus Lundgren, Helena Elding Larsson, William Hagopian, Riitta Veijola, Brigitte Frohnert, T1DI Study Group (2019). Sensitivity Analysis of Alternate Definitions of Multiple Islet Autoantibody Positivity. Diabetes.

Vibha Anand, Bin Liu, Mohamed Ghalwash, Eileen Koski, Kenney Ng, Jessica L Dunne, William Hagopian, Markus Lundgren, ÅKE LERNMARK, Jorma Ilonen, Riitta Veijola, Marian Rewers, T1DI Study Group (2019). Presymptomatic and Clinical T1D in The US, Sweden, and Finland: Joint Analysis of Four Birth Cohort Studies. Diabetes.

Bin Liu, Vibha Anand, Mohamed Ghalwash, Kenney Ng, Jessica L Dunne, Riitta Veijola, Marian Rewers, Markus Lundgren, T1DI Study Group (2019). Predicting Onset of Type 1 Diabetes Using a Novel Interaction Model. Diabetes.

Mohamed Ghalwash, Vibha Anand, Bin Liu, Eileen Koski, Kenney Ng, Jessica L Dunne, Markus Lundgren, Marian Rewers, Riitta Veijola, T1DI Study Group (2019). Analysis of Longitudinal Autoantibody Profiles and the Progression Rates to Type 1 Diabetes. Diabetes.

Chao Han, Xi Hang Cao, Marija Stanojevic, Mohamed Ghalwash, Zoran Obradovic (2019). Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning. Proceedings of the 2019 SIAM International Conference on Data Mining (SDM).

Daby Sow, Mohamed Ghalwash, Zach Shahn, Sanjoy Dey, Moulay Draidia, Li-wei Lehmann (2019). Attentive Explainability For Patient Temporal Embedding.

Sanjoy Dey, Ping Zhang, Mohamed Ghalwash, Zach Shahn, Daby Sow (2018). Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. AMIA Annual Symposium.

Ivan Stojkovic, Mohamed Ghalwash, Zoran Obradovic (2017). Ranking Based Multitask Learning of Scoring Functions. European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD).

Mohamed Ghalwash, Ying Li, Ping Zhang, Jianying Hu (2017). Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results. Proceedings of the 2017 ACM on conference on information and knowledge management (CIKM).

Shoumik Roychoudhury, Mohamed Ghalwash, Zoran Obradovic (2017). Cost Sensitive Time-series Classification. European Conference in Machine Learning and Knowledge Discovery in Databases (ECML PKDD).

Chao Han, Mohamed Ghalwash, Zoran Obradovic (2017). Continuous Conditional Dependency Network for Structured Regression. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence.

Milos Radovic, Mohamed Ghalwash, Nenad Filipovic, Zoran Obradovic (2017). Minimum Redundancy Maximum Relevance Feature Selection Approach For Temporal Gene Expression Data. BMC bioinformatics.

Fang Zhou, Mohamed Ghalwash, Zoran Obradovic (2016). A Fast Structured Regression For Large Networks. 2016 IEEE International Conference on Big Data (Big Data).

Chao Han, Shanshan Zhang, Mohamed Ghalwash, Slobodan Vucetic, Zoran Obradovic (2016). Joint Learning of Representation and Structure for Sparse Regression on Graphs. Proceedings of the 2016 SIAM International Conference on Data Mining (SDM).

Ivan Stojkovic, Mohamed Ghalwash, Xi Hang Cao, Zoran Obradovic (2016). Effectiveness of Multiple Blood-Cleansing Interventions in Sepsis, Characterized in Rats. Scientific Reports.

Mohamed Ghalwash, Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic (2016). Structured Feature Selection Using Coordinate Descent Optimization. BMC bioinformatics.

Jesse Glass, Mohamed Ghalwash, Milan Vukicevic, Zoran Obradovic (2016). Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster. Proceedings of the AAAI Conference on Artificial Intelligence.

Shoumik Roychoudhury, Mohamed Ghalwash, Zoran Obradovic (2015). False Alarm Suppression in Early Prediction of Cardiac Arrhythmia. 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE).

Mohamed F Ghalwash, Dušan Ramljak, Zoran Obradović (2015). Patient--Specific Early Classification of Multivariate Observations. International journal of data mining and bioinformatics.

Mohamed Ghalwash, Vladan Radosavljevic, Zoran Obradovic (2014). Utilizing Temporal Patterns For Estimating Uncertainty In Interpretable Early Decision Making. Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD).

Mohamed Ghalwash, Zoran Obradovic (2014). A Data-Driven Model for Optimizing Therapy Duration for Septic Patients. Proceeding of the 14th SIAM International Conference of Data Mining, 3rd Workshop on Data Mining for Medicine and Healthcare (SDM-DMMH).

Mohamed Ghalwash, Vladan Radosavljevic, Zoran Obradovic (2013). Extraction Of Interpretable Multivariate Patterns For Early Diagnostics. 2013 IEEE 13th International Conference on Data Mining (ICDM).

Mohamed Ghalwash, Vladan Radosavljevic, Zoran Obradovic (2013). Early Diagnosis And Its Benefits In Sepsis Blood Purification Treatment. 2013 IEEE International Conference on Healthcare Informatics (ICHI).

Mohamed Ghalwash (2013). Interpretable Early Classification Of Multivariate Time Series.

Matt E Oates, Pedro Romero, Takashi Ishida, Mohamed Ghalwash, Marcin J Mizianty, Bin Xue, Zsuzsanna Dosztanyi, Vladimir N Uversky, Zoran Obradovic, Lukasz Kurgan, others (2013). D2P2: Database Of Disordered Protein Predictions. Nucleic acids research.

Mohamed Ghalwash, Dušan Ramljak, Zoran Obradović (2012). Early Classification of Multivariate Time Series Using A Hybrid HMM/SVM Model. 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Mohamed Ghalwash, Zoran Obradovic (2012). Early Classification of Multivariate Temporal Observations By Extraction of Interpretable Shapelets. BMC bioinformatics.

Nahid Turan, Mohamed Ghalwash, Sunita Katari, Christos Coutifaris, Zoran Obradovic, Carmen Sapienza (2012). DNA Methylation Differences at Growth Related Genes Correlate With Birth Weight: A Molecular Signature Linked To Developmental Origins of Adult Disease?. BMC medical genomics.

Mohamed Ghalwash, A Keith Dunkerc, Zoran Obradovic (2012). Uncertainty Analysis in Protein Disorder Prediction. Molecular BioSystems.