| Risk of Alzheimer’s disease following influenza vaccination: a claims-based cohort study using propensity score matching AS Bukhbinder, Y Ling, O Hasan, X Jiang, Y Kim, KN Phelps, ... Journal of Alzheimer's Disease 88 (3), 1061-1074, 2022 | 51 | 2022 |
| Artificial intelligence in clinical and translational science: Successes, challenges and opportunities EV Bernstam, PK Shireman, F Meric‐Bernstam, M N Zozus, X Jiang, ... Clinical and translational science 15 (2), 309-321, 2022 | 20 | 2022 |
| Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: methodology review and benchmark Y Ling, P Upadhyaya, L Chen, X Jiang, Y Kim Journal of biomedical informatics 137, 104256, 2023 | 17* | 2023 |
| Do vaccinations influence the development of Alzheimer disease? AS Bukhbinder, Y Ling, K Harris, X Jiang, PE Schulz Human Vaccines & Immunotherapeutics 19 (2), 2216625, 2023 | 5 | 2023 |
| The impact of routine vaccinations on alzheimer’s disease risk in persons 65 years and older: a claims-based cohort study using propensity score matching K Harris, Y Ling, AS Bukhbinder, L Chen, KN Phelps, G Cruz, J Thomas, ... Journal of Alzheimer's Disease, 1-16, 2023 | 4 | 2023 |
| Enoxaparin may be associated with lower rates of mortality than unfractionated heparin in neurocritical and surgical patients S Samuel, C To, Y Ling, K Zhang, X Jiang, EV Bernstam Journal of Thrombosis and Thrombolysis 55 (3), 439-448, 2023 | 3 | 2023 |
| Identifying predictors of tooth loss using a rule‐based machine learning approach: A retrospective study at university‐setting clinics CT Lee, K Zhang, W Li, K Tang, Y Ling, MF Walji, X Jiang Journal of Periodontology 94 (10), 1231-1242, 2023 | 1 | 2023 |
| Identifying Predictors of the Tooth Loss Phenotype in A Large Periodontitis Patient Cohort Using A Machine Learning Approach CT Lee, K Zhang, W Li, K Tang, Y Ling, MF Walji, X Jiang Journal of Dentistry, 104921, 2024 | | 2024 |
| An Interpretable Causal Clustering Framework to Identify Responsive Subgroups from Clinical Trials: Application to Treatment of Intracerebral Hemorrhage Y Ling, MB Tariq, K Tang, J Aronowski, YC Fann, S Savitz, X Jiang, Y Kim Available at SSRN 4620944, 2024 | | 2024 |
| Characterizing Treatment Non-responders vs. Responders in Completed Alzheimer’s Disease Clinical Trials D Wang, Y Ling, K Harris, PE Schulz, X Jiang, Y Kim medRxiv, 2023 | | 2023 |
| Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer’s Disease Using Deep Learning P Upadhyaya, Y Ling, L Chen, Y Kim, X Jiang 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI), 49-57, 2023 | | 2023 |
| Abstract WP123: Machine Learning To Predict High Risk Adverse Events In Treatment Trials For Intracerebral Hemorrhage MB Tariq, Y Ling, SI Savitz, YC Fann, X Jiang, Y Kim Stroke 54 (Suppl_1), AWP123-AWP123, 2023 | | 2023 |
| 331: ENOXAPARIN MAY BE ASSOCIATED WITH LOWER MORTALITY THAN HEPARIN IN NEUROCRITICAL/SURGICAL PATIENTS S Samuel, C To, Y Ling, K Zhang, X Jiang, E Bernstam Critical Care Medicine 51 (1), 151, 2023 | | 2023 |
| Topic: AS35 Data Sciences and Artificial Intelligence PREDICTION OF INDIVIDUAL TREATMENT EFFECTS OF REHABILITATION FOR POST-STROKE PATIENTS Y Ling, Y Kim, X Jiang, D Parker, J Wozny, S Savitz INTERNATIONAL JOURNAL OF STROKE 16 (2_ SUPPL), 47-47, 2021 | | 2021 |
Xiaoqian JiangMcWilliams School of Biomedical Informatics, UTHealthVerified email at uth.tmc.edu
