MACHINE LEARNING IN THE PERIOPERATIVE SETTING: UNCOVERING THE VALUE OF DATA SCIENCE AND LARGE INSTITUTIONAL DATASETS AMONG PATIENTS UNDERGOING SURGERY

Ph.D

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Bibliographic Details
Main Author:	HAIRIL RIZAL BIN ABDULLAH
Other Authors:	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
Format:	Theses and Dissertations
Language:	English
Published:	2023
Subjects:	perioperative, machine learning, large data, surgery, anesthesiology, data science
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/246232
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-246232
record_format	dspace
spelling	sg-nus-scholar.10635-2462322024-10-26T00:27:40Z MACHINE LEARNING IN THE PERIOPERATIVE SETTING: UNCOVERING THE VALUE OF DATA SCIENCE AND LARGE INSTITUTIONAL DATASETS AMONG PATIENTS UNDERGOING SURGERY HAIRIL RIZAL BIN ABDULLAH DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) perioperative, machine learning, large data, surgery, anesthesiology, data science Ph.D DOCTOR OF PHILOSOPHY (DUKE) 2023-11-30T18:00:21Z 2023-11-30T18:00:21Z 2023-05-11 Thesis HAIRIL RIZAL BIN ABDULLAH (2023-05-11). MACHINE LEARNING IN THE PERIOPERATIVE SETTING: UNCOVERING THE VALUE OF DATA SCIENCE AND LARGE INSTITUTIONAL DATASETS AMONG PATIENTS UNDERGOING SURGERY. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/246232 0000-0003-1916-0832 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	perioperative, machine learning, large data, surgery, anesthesiology, data science
spellingShingle	perioperative, machine learning, large data, surgery, anesthesiology, data science HAIRIL RIZAL BIN ABDULLAH MACHINE LEARNING IN THE PERIOPERATIVE SETTING: UNCOVERING THE VALUE OF DATA SCIENCE AND LARGE INSTITUTIONAL DATASETS AMONG PATIENTS UNDERGOING SURGERY
description	Ph.D
author2	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
author_facet	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) HAIRIL RIZAL BIN ABDULLAH
format	Theses and Dissertations
author	HAIRIL RIZAL BIN ABDULLAH
author_sort	HAIRIL RIZAL BIN ABDULLAH
title	MACHINE LEARNING IN THE PERIOPERATIVE SETTING: UNCOVERING THE VALUE OF DATA SCIENCE AND LARGE INSTITUTIONAL DATASETS AMONG PATIENTS UNDERGOING SURGERY
title_short	MACHINE LEARNING IN THE PERIOPERATIVE SETTING: UNCOVERING THE VALUE OF DATA SCIENCE AND LARGE INSTITUTIONAL DATASETS AMONG PATIENTS UNDERGOING SURGERY
title_full	MACHINE LEARNING IN THE PERIOPERATIVE SETTING: UNCOVERING THE VALUE OF DATA SCIENCE AND LARGE INSTITUTIONAL DATASETS AMONG PATIENTS UNDERGOING SURGERY
title_fullStr	MACHINE LEARNING IN THE PERIOPERATIVE SETTING: UNCOVERING THE VALUE OF DATA SCIENCE AND LARGE INSTITUTIONAL DATASETS AMONG PATIENTS UNDERGOING SURGERY
title_full_unstemmed	MACHINE LEARNING IN THE PERIOPERATIVE SETTING: UNCOVERING THE VALUE OF DATA SCIENCE AND LARGE INSTITUTIONAL DATASETS AMONG PATIENTS UNDERGOING SURGERY
title_sort	machine learning in the perioperative setting: uncovering the value of data science and large institutional datasets among patients undergoing surgery
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/246232
_version_	1821221193338847232

MACHINE LEARNING IN THE PERIOPERATIVE SETTING: UNCOVERING THE VALUE OF DATA SCIENCE AND LARGE INSTITUTIONAL DATASETS AMONG PATIENTS UNDERGOING SURGERY

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