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Phenotype clustering in health care: A narrative review for clinicians.

T. Loftus, B. Shickel, J. Balch, P. Tighe, K. Abbott, B. Fazzone, E. Anderson, J. Rozowsky, T. Ozrazgat-Baslanti, Y. Ren, S. Berceli, W. Hogan, P. Efron, J. Moorman, P. Rashidi, G. Jr., and A. Bihorac. Frontiers Artif. Intell., (2022)

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Michael James

Audrein James

Katherine James

Ammini James-Mammoottil

Rojin James

Other publications of authors with the same name

Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture.M. Miyatake, S. Nerella, D. Simpson, N. Pawlowicz, S. Stern, P. Tighe, and P. Rashidi. CoRR, (2022)Fairness in the prediction of acute postoperative pain using machine learning models.A. Davoudi, R. Sajdeya, R. Ison, J. Hagen, P. Rashidi, C. Price, and P. Tighe. Frontiers Digit. Health, (2022)A Hybrid Evolutionary Strategy to Optimise Early-Stage Cancer Screening.G. Figueredo, P. Shi, A. Parkes, K. Evans, J. Garibaldi, O. Negm, P. Tighe, H. Sewell, and J. Robertson. CEC, page 95-102. IEEE, (2019)Deep recurrent neural networks for predicting intraoperative and postoperative outcomes and trends.S. Gopalswamy, P. Tighe, and P. Rashidi. BHI, page 361-364. IEEE, (2017)Phenotype clustering in health care: A narrative review for clinicians.T. Loftus, B. Shickel, J. Balch, P. Tighe, K. Abbott, B. Fazzone, E. Anderson, J. Rozowsky, T. Ozrazgat-Baslanti, Y. Ren and 7 other author(s). Frontiers Artif. Intell., (2022)Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data.J. Sena, S. Bandyopadhyay, M. Mostafiz, A. Davidson, Z. Guan, J. Barreto, T. Ozrazgat-Baslanti, P. Tighe, A. Bihorac, W. Schwartz and 1 other author(s). BIBM, page 2207-2212. IEEE, (2023)Pain and Physical Activity Association in Critically Ill Patients*.A. Davoudi, T. Ozrazgat-Baslanti, P. Tighe, A. Bihorac, and P. Rashidi. EMBC, page 5696-5699. IEEE, (2020)Deep neural network architectures for forecasting analgesic response.P. Nickerson, P. Tighe, B. Shickel, and P. Rashidi. EMBC, page 2966-2969. IEEE, (2016)Phenotyping Cognitive Impairment using Graphomotor and Latency Features in Digital Clock Drawing Test.A. Davoudi, C. Dion, S. Amini, D. Libon, P. Tighe, C. Price, and P. Rashidi. EMBC, page 5657-5660. IEEE, (2020)Accessing Artificial Intelligence for Clinical Decision-Making.C. Giordano, M. Brennan, B. Mohamed, P. Rashidi, F. Modave, and P. Tighe. Frontiers Digit. Health, (2021)

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Disambiguation of "Tighe, Patrick James"

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Phenotype clustering in health care: A narrative review for clinicians.

Please choose a person to relate this publication to

Michael James

Audrein James

Katherine James

Ammini James-Mammoottil

Rojin James

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tighe, Patrick James"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Phenotype clustering in health care: A narrative review for clinicians.

Please choose a person to relate this publication to

Michael James

Audrein James

Katherine James

Ammini James-Mammoottil

Rojin James

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Phenotype clustering in health care: A narrative review for clinicians.