Surgery Duration Prediction Using Multi-Task Feature Selection-Reference-Cited by-同舟云学术

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Surgery Duration Prediction Using Multi-Task Feature Selection

Published:2024-07 Issue:7 Volume:28 Page:4216-4223
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Azriel David¹^ORCID,Rinott Yosef²^ORCID,Tal Orna³^ORCID,Abbou Benyamine⁴^ORCID,Rappoport Nadav⁵^ORCID

Affiliation:

1. Faculty of Data and Decision Sciences, Technion Israel Institute of Technology, Technion City, Haifa, Israel

2. Department of Statistics and Federmann Center for the Study of Rationality, The Hebrew University of Jerusalem, Jerusalem, Israel

3. Medical Management Department, Shamir Medical Center (Assaf Harofeh), Tzrifin, Israel

4. Medical Management Department, Hillel-Yaffe Medical Center, Hadera, Israel

5. Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel

Funder

Center for Interdisciplinary Data Science Research at the Hebrew University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10582272/10463134.pdf?arnumber=10463134

Reference15 articles.

1. Accuracy of Predicting the Duration of a Surgical Operation

2. An assessment of the integration of nurse timetable changes with operating room planning and scheduling

3. Using constraint programming to schedule an operating theatre

4. Surgical case scheduling as a generalized job shop scheduling problem

5. Solving Operating Room Scheduling Problem Using Artificial Bee Colony Algorithm

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