Benjamin Shickel
Publications by Year
Research Areas
Machine Learning in Healthcare, Artificial Intelligence in Healthcare and Education, Sepsis Diagnosis and Treatment, Cardiac, Anesthesia and Surgical Outcomes, Topic Modeling
Most-Cited Works
- → Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis(2017)1,499 cited
- → Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning(2019)151 cited
- → Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform(2022)116 cited
- → Transformers and large language models in healthcare: A review(2024)108 cited
- → Use of artificial intelligence in critical care: opportunities and obstacles(2024)107 cited
- → Phenotype clustering in health care: A narrative review for clinicians(2022)104 cited
- → Artificial intelligence-enabled decision support in nephrology(2022)88 cited
- → Federated learning for preserving data privacy in collaborative healthcare research(2022)62 cited
- → A deep learning–based dynamic model for predicting acute kidney injury risk severity in postoperative patients(2023)58 cited
- → Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible(2022)53 cited