Larry A. Pickett
Syneos Health (United States)(US)
Publications by Year
Research Areas
Machine Learning in Healthcare, Artificial Intelligence in Healthcare, Energy Load and Power Forecasting, Stock Market Forecasting Methods, Forecasting Techniques and Applications
Most-Cited Works
- → AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures(2020)185 cited
- → Medicine Expenditure Prediction via a Variance- Based Generative Adversarial Network(2020)24 cited
- → Ensemble of Multi-headed Machine Learning Architectures for Time-Series Forecasting of Healthcare Expenditures(2020)18 cited
- → Using LSTMs for Predicting Patient's Expenditure on Medications(2017)17 cited
- Comparative Analysis of Features Selection Techniques for Classification in Healthcare.(2019)
- → Patient Journey Visualizer: A Tool for Visualizing Patient Journeys(2017)6 cited
- → Evaluating Frequent-Set Mining Approaches in Machine-Learning Problems with Several Attributes: A Case Study in Healthcare(2018)5 cited
- → Automating Clinical Trial Eligibility Screening: Quantitative Analysis of GPT Models versus Human Expertise(2024)4 cited
- → Quantitative Analysis of GPT-4 model: Optimizing Patient Eligibility Classification for Clinical Trials and Reducing Expert Judgment Dependency(2024)3 cited
- → 10. Evaluating single- and multi-headed neural architectures for time-series forecasting of healthcare expenditures(2020)3 cited