A real-world pharmacovigilance study on cardiovascular adverse events of tisagenlecleucel using machine learning approach
J Jung, JH Kim, JH Bae, SS Woo, H Lee, JY Shin - Scientific Reports, 2024 - nature.com
Chimeric antigen receptor T-cell (CAR-T) therapies are a paradigm-shifting therapeutic in
patients with hematological malignancies. However, some concerns remain that they may …
patients with hematological malignancies. However, some concerns remain that they may …
Predictive Modeling of Drug‐Related Adverse Events with Real‐World Data: A Case Study of Linezolid Hematologic Outcomes
Electronic health records (EHRs) provide meaningful knowledge of drug‐related adverse
events (AEs) that are not captured in standard drug development and postmarketing …
events (AEs) that are not captured in standard drug development and postmarketing …
Unveiling nonlinear effects of built environment attributes on urban heat resilience using interpretable machine learning
Q Liu, J Wang, B Bai - Urban Climate, 2024 - Elsevier
Built environment attributes (BEAs) play a significant role in influencing urban heat
resilience (UHR). Previous research has examined the correlations and nonlinear …
resilience (UHR). Previous research has examined the correlations and nonlinear …
Prediction of antidepressant side effects in the Genetic Link to Anxiety and Depression Study
Antidepressants are the most common treatment for moderate or severe depression. Side
effects are crucial indicators for antidepressants, but their expression varies widely among …
effects are crucial indicators for antidepressants, but their expression varies widely among …
Advanced Machine Learning for Risk Assessment of Cardiovascular Disease
Y Mahajan, E Arshdeep, D Saxena - … Conference on Integrated …, 2023 - ieeexplore.ieee.org
This research carried out a thorough analysis of machine learning algorithms that are used
to predict cardiovascular disease. Using a large dataset with a variety of patient variables …
to predict cardiovascular disease. Using a large dataset with a variety of patient variables …
A Systemic Review of Machine Learning Approaches for Adverse Drug Reaction Detection: Novel Perspective and Challenges
S Basnet, A Nihal, KS Sijina, NK Seru… - Journal of Pharma Insights …, 2023 - jopir.in
Medication errors significantly impact patient treatment outcomes, necessitating the
integration of modern technologies for improved detection and prevention. This review …
integration of modern technologies for improved detection and prevention. This review …