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Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.

M. Contreras, B. Silva, B. Shickel, S. Bandyopadhyay, Z. Guan, Y. Ren, T. Ozrazgat-Baslanti, K. Khezeli, A. Bihorac, and P. Rashidi. BHI, page 1-5. IEEE, (2023)

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Parisa Monfared

Ali Rashidi

Arash Rashidi

Parisa Derakhshan

Parisa Mohammadi

Other publications of authors with the same name

Domain Selection and Adaptation in Smart Homes.P. Rashidi, and D. Cook. ICOST, volume 6719 of Lecture Notes in Computer Science, page 17-24. Springer, (2011)Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data.B. Shickel, and P. Rashidi. CoRR, (2020)Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications.B. Shickel, T. Loftus, S. Datta, T. Ozrazgat-Baslanti, A. Bihorac, and P. Rashidi. CoRR, (2020)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)Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery.T. Loftus, G. Jr., D. Delitto, P. Rashidi, and A. Bihorac. Frontiers Artif. Intell., (2019)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)Self-Reflective Sentiment Analysis.B. Shickel, M. Heesacker, S. Benton, A. Ebadi, P. Nickerson, and P. Rashidi. CLPsych@HLT-NAACL, page 23-32. The Association for Computational Linguistics, (2016)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)Automated Detection of Rest Disruptions in Critically Ill Patients.V. Iyengar, A. Bihorac, and P. Rashidi. EMBC, page 5450-5454. IEEE, (2020)Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications.Y. Ren, C. Tripathi, Z. Guan, R. Zhu, V. Hougha, Y. Ma, Z. Hu, J. Balch, T. Loftus, P. Rashidi and 3 other author(s). CoRR, (2024)

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Disambiguation of "Rashidi, Parisa"

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Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.

Please choose a person to relate this publication to

Parisa Monfared

Ali Rashidi

Arash Rashidi

Parisa Derakhshan

Parisa Mohammadi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Rashidi, Parisa"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.

Please choose a person to relate this publication to

Parisa Monfared

Ali Rashidi

Arash Rashidi

Parisa Derakhshan

Parisa Mohammadi

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
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MSOffice XML

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.