2018/2019, Semester 2
Saw Swee Hock School of Public Health (Saw Swee Hock School of Public Health)
Modular Credits: 4
This module will cover major topics in healthcare analytics, including clinical related analytics (diseases, medication, laboratory test, etc.) and healthcare operations related analytics (resource planning/scheduling, care process analytics and improvement, admission and readmission, etc.). Students will learn the insights of these different healthcare analytics areas, and how to select the right analytics techniques for these healthcare analytics problems.
Upon completion of this course, students will be able to:
Relate analytics results with business value in healthcare sector;
Understand the key elements to build a successful healthcare analytics solution;
Understand data source, data collection, data cleansing in healthcare analytics;
Understand the key problems and challenges in healthcare clinical analytics area;
Master the common analytics techniques used in healthcare analytics, and be able to select the right techniques for different healthcare analytics problems.
Understand the state-of-the-arts in healthcare analytics.
SPH5002 Public Health Research Methods; OR CO5103 Quantitative Epidemiologic Methods.
CO5237 Healthcare Analytics.
Lectures, tutorials, assignment and project work.
This module is scheduled in Semester 2 on Fridays, 6pm - 9pm, starting on 18 January 2019. The venue for all lectures will be at the School of Public Health, at Tahir Foundation Building, NUS, Block MD1, as indicated in the timetable.
Intro to healthcare analytics.
Molecular epidemiology of infectious diseases
Introduction to Bayesian statistics
Monte Carlo Simulation
JAGS and STAN
Causal inference with healthcare data
Introduction to Deep Neural Network
Project Presentation & Assessment
Individual Assignment 1
Individual Assignment 2
Individual Assignment 3
Total for CA: