Faculty, Staff and Student Publications
Open-access journal articles of faculty, students and staff from McWilliams School of Biomedical Informatics at UTHealth Houston. Some of the focus areas include Clinical and Cognitive Informatics, Biomedical Engineering, Public Health Informatics, and Translational Biomedical Informatics.
Submissions from 2022
Benefits of, Barriers to, and Needs for an Artificial Intelligence-Powered Medication Information Voice Chatbot for Older Adults: Interview Study With Geriatrics Experts, Meghana Gudala, Mary Ellen Trail Ross, Sunitha Mogalla, et al.
Patient and Provider Perspectives on Medication Non-adherence Among Patients with Depression and/or Diabetes in Diverse Community Settings – A Qualitative Analysis, Jane E Hamilton, Eduardo Blanco, Salih Selek, et al.
A Substring Replacement Approach For Identifying Missing Is-A Relations in SNOMED CT, Xubing Hao, Rashmie Abeysinghe, Jay Shi, et al.
XCVATR: Detection and Characterization of Variant Impact on the Embeddings of Single -Cell and Bulk RNA-Sequencing Samples, Arif Harmanci, Akdes Serin Harmanci, Tiemo J Klisch, et al.
A Comprehensive Update on CIDO: The Community-Based Coronavirus Infectious Disease Ontology, Yongqun He, Hong Yu, Anthony Huffman, et al.
Predicting Health-Related Social Needs In Medicaid and Medicare Populations Using Machine Learning, Jennifer Holcomb, Luis C Oliveira, Linda Highfield, et al.
A Novel Framework to Estimate Cognitive Impairment via Finger Interaction With Digital Devices, Ashley A Holmes, Shikha Tripathi, Emily Katz, et al.
Deep Learning-Based NLP Data Pipeline for EHR-Scanned Document Information Extraction, Enshuo Hsu, Ioannis Malagaris, Yong-Fang Kuo, et al.
Immunotherapy For Type 1 Diabetes Mellitus By Adjuvant-Free Schistosoma Japonicum-Egg Tip-Loaded Asymmetric Microneedle Patch (STAMP), Haoming Huang, Dian Hu, Zhuo Chen, et al.
APAview: A Web-Based Platform for Alternative Polyadenylation Analyses in Hematological Cancers, Xi Hu, Jialin Song, Jacqueline Chyr, et al.
Racial and Socioeconomic Disparities in Patients With Meningioma: A Retrospective Cohort Study, Hudin N Jackson, Caroline C Hadley, A Basit Khan, et al.
scGWAS: Landscape of Trait-Cell Type Associations by Integrating Single-Cell Transcriptomics-Wide and Genome-Wide Association Studies, Peilin Jia, Ruifeng Hu, Fangfang Yan, et al.
scGWAS: Landscape of Trait-Cell Type Associations by Integrating Single-Cell Transcriptomics-Wide and Genome-Wide Association Studies, Peilin Jia, Ruifeng Hu, Fangfang Yan, et al.
A Systematic Approach To Configuring Metamap For Optimal Performance, Xia Jing, Akash Indani, Nina Hubig, et al.
Development of The Invasive Candidiasis Discharge [I Can Discharge] Model: A Mixed Methods Analysis, Jinhee Jo, Truc T Tran, Nicholas D Beyda, et al.
A Comprehensive Artificial Intelligence Framework for Dental Diagnosis and Charting, Tanjida Kabir, Chun-Teh Lee, Luyao Chen, et al.
Development of A Quality Improvement Dental Chart Review Training Program, Elsbeth Kalenderian, Nutan B Hebballi, Amy Franklin, et al.
Complement Component C4 Structural Variation and Quantitative Traits Contribute To Sex-Biased Vulnerability In Systemic Sclerosis, Martin Kerick, Marialbert Acosta-Herrera, Carmen Pilar Simeón-Aznar, et al.
ROR Activation by Nobiletin Enhances Antitumor Efficacy via Suppression of IκB/NF-κB Signaling in Triple-Negative Breast Cancer, Eunju Kim, Yoon-Jin Kim, Zhiwei Ji, et al.
Secure Human Action Recognition by Encrypted Neural Network Inference, Miran Kim, Xiaoqian Jiang, Kristin Lauter, et al.
SVAT: Secure Outsourcing of Variant Annotation and Genotype Aggregation, Miran Kim, Su Wang, Xiaoqian Jiang, et al.
FusionAI, a DNA-Sequence-Based Deep Learning Protocol Reduces the False Positives of Human Fusion Gene Prediction, Pora Kim, Hua Tan, Jiajia Liu, et al.
FusionGDB 20: Fusion Gene Annotation Updates Aided by Deep Learning, Pora Kim, Hua Tan, Jiajia Liu, et al.
Counterfactual Analysis of Differential Comorbidity Risk Factors In Alzheimer’s Disease and Related Dementias, Yejin Kim, Kai Zhang, Sean I Savitz, et al.
Closing The Loop: Automatically Identifying Abnormal Imaging Results In Scanned Documents, Akshat Kumar, Heath Goodrum, Ashley Kim, et al.