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Patrick James Tighe
Person information
- affiliation: University of Florida, Department of Anesthesiology, Gainesville, FL, USA
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2020 – today
- 2024
- [j12]Chamara Gunaratne
, Ron Ison
Development of a Probabilistic Boolean network (PBN) to model intraoperative blood pressure management. Comput. Methods Programs Biomed. 249: 108143 (2024) - [j11]Chen Bai, Mohammad Al-Ani
Developing and validating an electronic health record-based frailty index in pre-operative settings using machine learning. J. Intell. Inf. Syst. 62(2): 339-354 (2024) - [i13]Tingsong Xiao, Zelin Xu, Wenchong He, Jim Su, Yupu Zhang, Raymond Opoku, Ronald L. Ison, Jason Petho, Jiang Bian, Patrick James Tighe, Parisa Rashidi, Zhe Jiang:
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. CoRR abs/2402.02258 (2024) - 2023
- [j10]Ruba Sajdeya
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. 30(8): 1418-1428 (2023) - [c9]Jessica Sena, Sabyasachi Bandyopadhyay
Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data. BIBM 2023: 2207-2212 - [i12]Subhash Nerella, Ziyuan Guan, Andrea Davidson, Yuanfang Ren, Tezcan Baslanti, Brooke Armfield, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status. CoRR abs/2311.00565 (2023) - 2022
- [j9]Anis Davoudi
Fairness in the prediction of acute postoperative pain using machine learning models. Frontiers Digit. Health 4 (2022) - [j8]Anis Davoudi
Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit. Frontiers Digit. Health 4: 773387 (2022) - [j7]Benjamin Shickel, Brandon Silva, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Kia Khezeli, Ziyuan Guan, Patrick James Tighe, Azra Bihorac
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks. Frontiers Digit. Health 4 (2022) - [j6]Tyler J. Loftus
Phenotype clustering in health care: A narrative review for clinicians. Frontiers Artif. Intell. 5 (2022) - [i11]Mizuki Miyatake, Subhash Nerella, David Simpson, Natalia Pawlowicz, Sarah Stern, Patrick James Tighe, Parisa Rashidi:
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture. CoRR abs/2208.05050 (2022) - [i10]Subhash Nerella, Kia Khezeli, Andrea Davidson, Patrick James Tighe, Azra Bihorac
End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units. CoRR abs/2211.06570 (2022) - 2021
- [j5]Chris Giordano, Meghan Brennan, Basma Mohamed, Parisa Rashidi, François Modave, Patrick James Tighe:
Accessing Artificial Intelligence for Clinical Decision-Making. Frontiers Digit. Health 3: 645232 (2021) - [c8]Subhash Nerella, Julie Cupka, Matthew Ruppert
Pain Action Unit Detection in Critically Ill Patients. COMPSAC 2021: 645-651 - [i9]Anis Davoudi, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Posture Recognition in the Critical Care Settings using Wearable Devices. CoRR abs/2110.02768 (2021) - [i8]Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers. CoRR abs/2111.05431 (2021) - 2020
- [c7]Florenc Demrozi
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. EMBC 2020: 4534-4538 - [c6]Anis Davoudi
Phenotyping Cognitive Impairment using Graphomotor and Latency Features in Digital Clock Drawing Test. EMBC 2020: 5657-5660 - [c5]Anis Davoudi
Pain and Physical Activity Association in Critically Ill Patients*. EMBC 2020: 5696-5699 - [i7]Florenc Demrozi, Graziano Pravadelli, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. CoRR abs/2004.09134 (2020) - [i6]Anis Davoudi, Tezcan Ozrazgat-Baslanti, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Pain and Physical Activity Association in Critically Ill Patients. CoRR abs/2004.14952 (2020) - [i5]Subhash Nerella, Azra Bihorac, Patrick James Tighe, Parisa Rashidi:
Facial Action Unit Detection on ICU Data for Pain Assessment. CoRR abs/2005.02121 (2020)
2010 – 2019
- 2019
- [j4]Ashkan Ebadi
A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time? Soc. Netw. Anal. Min. 9(1): 7:1-7:20 (2019) - [c4]Grazziela P. Figueredo
A Hybrid Evolutionary Strategy to Optimise Early-Stage Cancer Screening. CEC 2019: 95-102 - 2018
- [j3]Paul Nickerson
Transition Icons for Time-Series Visualization and Exploratory Analysis. IEEE J. Biomed. Health Informatics 22(2): 623-630 (2018) - [j2]Benjamin Shickel
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis. IEEE J. Biomed. Health Informatics 22(5): 1589-1604 (2018) - [i4]Ashkan Ebadi, Patrick James Tighe, Lei Zheng, Parisa Rashidi:
A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time? CoRR abs/1803.03359 (2018) - [i3]Anis Davoudi, Kumar Rohit Malhotra, Benjamin Shickel, Scott Siegel, Seth Williams, Matthew Ruppert, Emel Bihorac, Tezcan Ozrazgat-Baslanti, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring. CoRR abs/1804.10201 (2018) - [i2]Ashkan Ebadi
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome. CoRR abs/1812.07129 (2018) - 2017
- [j1]Ashkan Ebadi
DisTeam: A decision support tool for surgical team selection. Artif. Intell. Medicine 76: 16-26 (2017) - [c3]Scott Siegel, Agyeiwaa O. Agyei, Anis Davoudi, Patrick James Tighe, Parisa Rashidi:
Anesthesia Instrument Recognition System. AMIA 2017 - [c2]Shruthi Gopalswamy, Patrick James Tighe
Deep recurrent neural networks for predicting intraoperative and postoperative outcomes and trends. BHI 2017: 361-364 - [i1]Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Deep EHR: A Survey of Recent Advances on Deep Learning Techniques for Electronic Health Record (EHR) Analysis. CoRR abs/1706.03446 (2017) - 2016
- [c1]Paul Nickerson, Patrick James Tighe
Deep neural network architectures for forecasting analgesic response. EMBC 2016: 2966-2969
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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