Patrick James Tighe

Orcid: 0000-0002-1881-9941

Affiliations:
  • University of Florida, Department of Anesthesiology, Gainesville, FL, USA


According to our database1, Patrick James Tighe authored at least 30 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction.
CoRR, 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
Phenotype clustering in health care: A narrative review for clinicians.
Frontiers Artif. Intell., 2022

Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks.
Frontiers Digit. Health, 2022

Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit.
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
Accessing Artificial Intelligence for Clinical Decision-Making.
Frontiers Digit. Health, 2021

Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers.
CoRR, 2021

Posture Recognition in the Critical Care Settings using Wearable Devices.
CoRR, 2021

Pain Action Unit Detection in Critically Ill Patients.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020
Facial Action Unit Detection on ICU Data for Pain Assessment.
CoRR, 2020

Pain and Physical Activity Association in Critically Ill Patients.
CoRR, 2020

Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Pain and Physical Activity Association in Critically Ill Patients<sup>*</sup>.
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

A Hybrid Evolutionary Strategy to Optimise Early-Stage Cancer Screening.
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

Transition Icons for Time-Series Visualization and Exploratory Analysis.
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
DisTeam: A decision support tool for surgical team selection.
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

Anesthesia Instrument Recognition System.
Proceedings of the AMIA 2017, 2017

2016
Deep neural network architectures for forecasting analgesic response.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016


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