Patrick James Tighe
Orcid: 0000-0002-1881-9941Affiliations:
- University of Florida, Department of Anesthesiology, Gainesville, FL, USA
According to our database1,
Patrick James Tighe
authored at least 33 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Developing and validating an electronic health record-based frailty index in pre-operative settings using machine learning.
J. Intell. Inf. Syst., April, 2024
Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes.
CoRR, 2024
CoRR, 2024
Development of a Probabilistic Boolean network (PBN) to model intraoperative blood pressure management.
Comput. Methods Programs Biomed., 2024
2023
Developing and validating a natural language processing algorithm to extract preoperative cannabis use status documentation from unstructured narrative clinical notes.
J. Am. Medical Informatics Assoc., July, 2023
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status.
CoRR, 2023
Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Frontiers Artif. Intell., 2022
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks.
Frontiers Digit. Health, 2022
Frontiers Digit. Health, 2022
Fairness in the prediction of acute postoperative pain using machine learning models.
Frontiers Digit. Health, 2022
End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units.
CoRR, 2022
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture.
CoRR, 2022
2021
Frontiers Digit. Health, 2021
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers.
CoRR, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Phenotyping Cognitive Impairment using Graphomotor and Latency Features in Digital Clock Drawing Test.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time?
Soc. Netw. Anal. Min., 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis.
IEEE J. Biomed. Health Informatics, 2018
IEEE J. Biomed. Health Informatics, 2018
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome.
CoRR, 2018
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring.
CoRR, 2018
A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time?
CoRR, 2018
2017
Artif. Intell. Medicine, 2017
Deep recurrent neural networks for predicting intraoperative and postoperative outcomes and trends.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016