Sheikh S. Abdullah

According to our database, Sheikh S. Abdullah authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

IRVINE: An Interactive Visualization for Spontaneous Reporting Systems Databases Missing Values.

Ali Sharifi-Kia, Kamran Sedig, Niaz Chalabianloo, Sheikh S. Abdullah, Flory T. Muanda

Multimodal Technol. Interact., 2026

2025

Explainable AI for Clinical Decision Support Systems: Literature Review, Key Gaps, and Research Synthesis.

Mozhgan Salimparsa, Kamran Sedig, Daniel J. Lizotte, Sheikh S. Abdullah, Niaz Chalabianloo, Flory T. Muanda

Informatics, 2025

2022

Visual Analytics for Predicting Disease Outcomes Using Laboratory Test Results.

Neda Rostamzadeh, Sheikh S. Abdullah, Kamran Sedig, Amit X. Garg, Eric McArthur

Informatics, 2022

2021

VERONICA: Visual Analytics for Identifying Feature Groups in Disease Classification.

Neda Rostamzadeh, Sheikh S. Abdullah, Kamran Sedig, Amit X. Garg, Eric McArthur

Inf., 2021

Visual Analytics for Electronic Health Records: A Review.

Neda Rostamzadeh, Sheikh S. Abdullah, Kamran Sedig

Informatics, 2021

VISEMURE: A Visual Analytics System for Making Sense of Multimorbidity Using Electronic Medical Record Data.

Maede Nouri, Daniel J. Lizotte, Kamran Sedig, Sheikh S. Abdullah

Data, 2021

2020

Data-Driven Activities Involving Electronic Health Records: An Activity and Task Analysis Framework for Interactive Visualization Tools.

Neda Rostamzadeh, Sheikh S. Abdullah, Kamran Sedig

Multimodal Technol. Interact., 2020

Predicting Acute Kidney Injury: A Machine Learning Approach Using Electronic Health Records.

Sheikh S. Abdullah, Neda Rostamzadeh, Kamran Sedig, Amit X. Garg, Eric McArthur

Inf., 2020

Machine Learning for Identifying Medication-Associated Acute Kidney Injury.

Sheikh S. Abdullah, Neda Rostamzadeh, Kamran Sedig, Daniel J. Lizotte, Amit X. Garg, Eric McArthur

Informatics, 2020

Visual Analytics for Dimension Reduction and Cluster Analysis of High Dimensional Electronic Health Records.

Sheikh S. Abdullah, Neda Rostamzadeh, Kamran Sedig, Amit X. Garg, Eric McArthur

Informatics, 2020

Multiple Regression Analysis and Frequent Itemset Mining of Electronic Medical Records: A Visual Analytics Approach Using VISA_M3R3.

Sheikh S. Abdullah, Neda Rostamzadeh, Kamran Sedig, Amit X. Garg, Eric McArthur

Data, 2020