Benjamin Shickel - Concepedia

Author

Benjamin Shickel

University of Florida ORCID

Also Known As

Benjamin Shickel, Shickel, Benjamin

103

Publications

2.9K

Citations

H-Index

Concepts

All Affiliations

University of Florida University of Florida Health University of Virginia University of Minnesota Florida College

About

Benjamin Shickel is an author at University of Florida specializing in engineering, health informatics, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	325
2	Medicine	4	4	83
3	Public Health	2	2	64
4	Health Sciences	1	1	17
5	Nursing	1	1	149

Benjamin Shickel

Publications

737

Citations

H-Index

Page 1

	Year	Citations
Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning Anis Davoudi, Kumar Rohit Malhotra, Benjamin Shickel, Scientific Reports EngineeringMachine LearningRemote Patient MonitoringWearable TechnologyIntelligent Systems	2019	149
Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform Yuanfang Ren, Tyler J. Loftus, Shounak Datta, JAMA Network Open	2022	114
A deep learning–based dynamic model for predicting acute kidney injury risk severity in postoperative patients Esra Adıyeke, Yuanfang Ren, Matthew M. Ruppert, Surgery	2023	58
Federated learning for preserving data privacy in collaborative healthcare research Tyler J. Loftus, Matthew M. Ruppert, Benjamin Shickel, Digital Health	2022	57
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible Tyler J. Loftus, Patrick Tighe, Tezcan Ozrazgat‐Baslanti, PLOS Digital Health Artificial IntelligenceEngineeringMachine LearningAnalysis Of AlgorithmComputational Complexity	2022	52
Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks Benjamin Shickel, Tyler J. Loftus, Matthew M. Ruppert, Scientific Reports	2023	43
Deep neural network architectures for forecasting analgesic response Paul Nickerson, Patrick Tighe, Benjamin Shickel, EngineeringMachine LearningPain MedicineAcute Postoperative PainAnalgesic Response	2016	40
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals Le Peng, Gaoxiang Luo, Andrew Walker, Journal of the American Medical Informatics Association	2022	27
CIS-UNet: Multi-class segmentation of the aorta in computed tomography angiography via context-aware shifted window self-attention Muhammad Ali Imran, Jonathan R. Krebs, Veera Rajasekhar Reddy Gopu, Computerized Medical Imaging and Graphics	2024	25
Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU Benjamin Shickel, Anis Davoudi, Tezcan Ozrazgat‐Baslanti, Frontiers in Digital Health Artificial IntelligenceEngineeringMachine LearningMultimodal LearningIntensive Care Unit	2021	20

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