Publications | Mohamed Ghalwash

Explanation Ontology: A General-Purpose, Semantic Representation for Supporting User-Centered Explanations

Shruthi Chari, Oshani Seneviratne, Mohamed Ghalwash, Sola Shirai, Daniel M Gruen, Pablo Meyer, Prithwish Chakraborty, Deborah L McGuinness

Refining the Definition of Stage 1 Type 1 Diabetes: An Ontology-Driven Analysis of the Heterogeneity of Multiple Islet Autoimmunity

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

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Interpretable Stratification for Chronic Kidney Disease Progression Based on Time to Event Analysis

Mohamed Ghalwash, Akira Koseki, Toshiya Iwamori, Michiharu Kudo, Pablo Meyer

Informing Clinical Assessment by Contextualizing Post-Hoc Explanations of Risk Prediction Models in Type-2 Diabetes

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

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Islet Autoantibody Screening In At-Risk Adolescents To Predict Type 1 Diabetes Until Young Adulthood: A Prospective Cohort Study

Mohamed Ghalwash, Vibha Anand, Olivia Lou, Frank Martin, Marian Rewers, Anette-G Ziegler, Jorma Toppari, William A Hagopian, Riitta Veijola, T1DI Study Group

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Data-Driven Disease Progression Modeling

Kenney Ng, Mohamed Ghalwash, Prithwish Chakraborty, Daby M Sow, Akira Koseki, Hiroki Yanagisawa, Michiharu Kudo

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Two-Age Islet-Autoantibody Screening for Childhood Type 1 Diabetes: A Prospective Cohort Study

Mohamed Ghalwash, Jessica L Dunne, Markus Lundgren, Marian Rewers, Anette-G Ziegler, Vibha Anand, Jorma Toppari, Riitta Veijola, William Hagopian, T1DI Study Group

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Predicting Pain Now and in the Future Through Personalized Physiologic Mobility Metrics

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

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Improving the Computational Complexity of the COOL Screening Tool

Mohamed Ghalwash

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An Ontology for Fairness Metrics

Jade S Franklin, Karan Bhanot, Mohamed Ghalwash, Kristin P Bennett, Jamie McCusker, Deborah L McGuinness

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Human-Centered Explainability For Life Sciences, Healthcare, And Medical Informatics

Sanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed Ghalwash, Fernando J Suarez Saiz, Kenney Ng, Daby Sow, Kush R Varshney, Pablo Meyer

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Finding Precise Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions

Sanjoy Dey, Mohamed Ghalwash, Ping Zhang

Carbon Tuner

Prithwish Chakraborty, Mohamed Ghalwash, Daby Sow

G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime

Rui Li, Stephanie Hu, Mingyu Lu, Yuria Utsumi, Prithwish Chakraborty, Daby M Sow, Piyush Madan, Jun Li, Mohamed Ghalwash, Zach Shahn, Li-wei Lehman

Impact of Clinical and Genomic Factors on COVID-19 Disease Severity

Sanjoy Dey, Aritra Bose, Prithwish Chakraborty, Mohamed Ghalwash, Aldo Guzman Saenz, Filippo Utro, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow

A Comparative Time-to-Event Analysis Across Health Systems

Mohamed Ghalwash, Prithwish Chakraborty, Akira Koseki, Hiroki Yanagisawa, Toshiya Iwamori, Reitaro Tokumasu, Masaki Makino, Ryosuke Yanagiya, Atsushi Suzuki, Michiharu Kudo, Daby Sow

Disease Progression Modeling Workbench 360

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

Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case

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

Transparent and Distributed AI Prediction Modeling: A Case Study on Pediatric Covid

Fernando Suarez Saiz, Sanjoy Dey, Prithwish Chakraborty, Mohamed Ghalwash, Pablo Meyer

A Method For Developing An Ontology Based On Biomarker Information To Improve Clinical Prediction

Kenney Ng, Mohamed Ghalwash, Vibha Anand, Uri Kartoun, Ying Li

Survival Models of Diabetes Complications Applied to Different Cohorts

Akira And Tokumasu, Reitaro And Chakraborty, Prithwish And Ghalwash, Mohamed And Iwamori, Toshiya And Kudo, Michiharu And Sow, Daby And Yanagisawa, Hiroki And Yanagiya, Ryosuke And Makino, Masaki Koseki, Atsushi Suzuki

Islet Autoimmunity and HLA Markers of Presymptomatic and Clinical Type 1 Diabetes: Joint Analyses of Prospective Cohort Studies in Finland, Germany, Sweden, and the U.S.

Vibha Anand, Ying Li, Bin Liu, Mohamed Ghalwash, Eileen Koski, Kenney Ng, Jessica L Dunne, Josefine Jönsson, Christiane Winkler, Mikael Knip, Jorma Toppari, Jorma Ilonen, Michael B. Killian, Brigitte I. Frohnert, Markus Lundgren, Anette-Gabriele Ziegler, William Hagopian, Riitta Veijola, Marian Rewers, T1DI Study Group

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Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge

Prithwish Chakraborty, James Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed Ghalwash, Zach Shahn, Parthasararathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Y. Reed, Kenney Ng, Daby Sow, Bradley A. Malin

Phenotypical Ontology Driven Framework For Multi-Task Learning

Mohamed Ghalwash, Zijun Yao, Prithwish Chakraporty, James Codella, Daby Sow

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System and Method of On-Demand Treatment of Pain in Targeted Area of a Human Subject

Daby Sow, Mohamed Ghalwash, Pritish R. Parida, Qinghuang Lin

Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology

Ying Li, Bin Liu, Vibha Anand, Jessica L Dunne, Markus Lundgren, Kenney Ng, Marian Rewers, Riitta Veijola, Mohamed Ghalwash, T1DI Study Group

Finding Causal Mechanistic Drug-Drug Interactions from Observational Data

Sanjoy Dey, Ping Zhang, Mohamed Ghalwash, Chandramouli Maduri, Daby Sow, Zach Shahn

A System for Generating Specialized Phenotypical Embedding

Mohamed Ghalwash, Yao Zijun, Prithwish Chakraborty, James V. Codella, Daby Sow

ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction

Mohamed Ghalwash, Zijun Yao, Prithwish Chakrabotry, James Codella, Daby Sow

A Multi-Task Learning Approach to Personalized Progression Modeling

Mohamed Ghalwash, Daby Dow

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Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes

Mohamed Ghalwash, Vibha Anand, Kenney Ng, Jessica L Dunne, Markus Lundgren, Marian Rewers, Riitta Veijola

COOL - A Screening Collaborative Open Outcomes Tool

Mohamed Ghalwash, Vibha Anand, Eileen Koski

Computational Phenotyping with Limited Data and Winning the Partners Healthcare Biobank Challenge

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

Optimal Ages for Screening for T1D Risk in Children

Mohamed Ghalwash, Vibha Anand, William Hagopian, Markus Lundgren, Marian Rewers, Riitta Veijola, Anette-Gabriele Ziegler, Jessica L Dunne, T1DI Study Group

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Learning Interpretable Strategies in the Presence of Existing Domain Knowledge

Cao Xiao, Daby Sow, Mohamed Ghalwash, Sanjoy Dey, Zachary Shahn

eXITs: An Ensemble Approach for Imputing Missing EHR Data

James Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed Ghalwash, Zijun Yao, Daby Sow

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Sensitivity Analysis of Alternate Definitions of Multiple Islet Autoantibody Positivity

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

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Presymptomatic and Clinical T1D in The US, Sweden, and Finland: Joint Analysis of Four Birth Cohort Studies

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

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Predicting Onset of Type 1 Diabetes Using a Novel Interaction Model

Bin Liu, Vibha Anand, Mohamed Ghalwash, Kenney Ng, Jessica L Dunne, Riitta Veijola, Marian Rewers, Markus Lundgren, T1DI Study Group

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Analysis of Longitudinal Autoantibody Profiles and the Progression Rates to Type 1 Diabetes

Mohamed Ghalwash, Vibha Anand, Bin Liu, Eileen Koski, Kenney Ng, Jessica L Dunne, Markus Lundgren, Marian Rewers, Riitta Veijola, T1DI Study Group

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Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning

Chao Han, Xi Hang Cao, Marija Stanojevic, Mohamed Ghalwash, Zoran Obradovic

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Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions

Sanjoy Dey, Ping Zhang, Mohamed Ghalwash, Zach Shahn, Daby Sow

Ranking Based Multitask Learning of Scoring Functions

Ivan Stojkovic, Mohamed Ghalwash, Zoran Obradovic

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Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results

Mohamed Ghalwash, Ying Li, Ping Zhang, Jianying Hu

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Cost Sensitive Time-series Classification

Shoumik Roychoudhury, Mohamed Ghalwash, Zoran Obradovic

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Continuous Conditional Dependency Network for Structured Regression

Chao Han, Mohamed Ghalwash, Zoran Obradovic

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Minimum Redundancy Maximum Relevance Feature Selection Approach For Temporal Gene Expression Data

Milos Radovic, Mohamed Ghalwash, Nenad Filipovic, Zoran Obradovic

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A Fast Structured Regression For Large Networks

Fang Zhou, Mohamed Ghalwash, Zoran Obradovic

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Joint Learning of Representation and Structure for Sparse Regression on Graphs

Chao Han, Shanshan Zhang, Mohamed Ghalwash, Slobodan Vucetic, Zoran Obradovic

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Effectiveness of Multiple Blood-Cleansing Interventions in Sepsis, Characterized in Rats

Ivan Stojkovic, Mohamed Ghalwash, Xi Hang Cao, Zoran Obradovic

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Structured Feature Selection Using Coordinate Descent Optimization

Mohamed Ghalwash, Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic

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Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster

Jesse Glass, Mohamed Ghalwash, Milan Vukicevic, Zoran Obradovic

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False Alarm Suppression in Early Prediction of Cardiac Arrhythmia

Shoumik Roychoudhury, Mohamed Ghalwash, Zoran Obradovic

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Patient--Specific Early Classification of Multivariate Observations

Mohamed F Ghalwash, Dušan Ramljak, Zoran Obradović

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Utilizing Temporal Patterns For Estimating Uncertainty In Interpretable Early Decision Making

Mohamed Ghalwash, Vladan Radosavljevic, Zoran Obradovic

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A Data-Driven Model for Optimizing Therapy Duration for Septic Patients

Mohamed Ghalwash, Zoran Obradovic

Extraction Of Interpretable Multivariate Patterns For Early Diagnostics

Mohamed Ghalwash, Vladan Radosavljevic, Zoran Obradovic

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Early Diagnosis And Its Benefits In Sepsis Blood Purification Treatment

Mohamed Ghalwash, Vladan Radosavljevic, Zoran Obradovic

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Interpretable Early Classification Of Multivariate Time Series

Mohamed Ghalwash

D2P2: Database Of Disordered Protein Predictions

Matt E Oates, Pedro Romero, Takashi Ishida, Mohamed Ghalwash, Marcin J Mizianty, Bin Xue, Zsuzsanna Dosztanyi, Vladimir N Uversky, Zoran Obradovic, Lukasz Kurgan, others

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Early Classification of Multivariate Time Series Using A Hybrid HMM/SVM Model

Mohamed Ghalwash, Dušan Ramljak, Zoran Obradović

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Early Classification of Multivariate Temporal Observations By Extraction of Interpretable Shapelets

Mohamed Ghalwash, Zoran Obradovic

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DNA Methylation Differences at Growth Related Genes Correlate With Birth Weight: A Molecular Signature Linked To Developmental Origins of Adult Disease?

Nahid Turan, Mohamed Ghalwash, Sunita Katari, Christos Coutifaris, Zoran Obradovic, Carmen Sapienza

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Uncertainty Analysis in Protein Disorder Prediction

Mohamed Ghalwash, A Keith Dunkerc, Zoran Obradovic

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