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Main
UQU Programs
Health Informatics

Healthcare Data Analytics

HI3402
3 hours English

Healthcare Data Analytics

Healthcare Data Analytics
MTH3018 Biostatistics in Health Informatics
3 hours No requisites
2 Introduction to Healthcare Data Analytics
3 Review of Statistical Methods and Applications in Healthcare Industry
4 Biomedical Image Analysis
5 Genomic Data Analysis for Personalized Medicine
6 Natural Language Processing (NLP) and Data Mining for Clinical Text
7 Social Media Analytics for Healthcare
9 Review of Clinical Prediction Models
10 Data Mining for Healthcare Data
11 Visual Analytics for Healthcare
12 Predictive Models
13 Machine Learning (ML) Algorithms for Healthcare Data Analytics
14 Artificial Intelligence (AI) in Healthcare Data Analytics
1.1 Mapped to: K1

Classify the sources of healthcare data

Teaching Strategy Interactive academic lectures Class and group discussions
Assessment Methods Examination
1.2 Mapped to: K1

Demonstrate knowledge and understanding of concepts of healthcare data analytics

Teaching Strategy Interactive academic lectures Class and group discussions
Assessment Methods Examination
2.1 Mapped to: S2 , S4

Apply statistical methods and techniques on healthcare data.

Teaching Strategy Interactive academic lectures Individual and group case studies Class and group discussions Practical sessions
Assessment Methods Examination
2.2 Mapped to: S2

Develop predictive models.

Teaching Strategy Interactive academic lectures Individual and group case studies Class and group discussions Practical sessions
Assessment Methods Examination
2.3 Mapped to: S1

Differentiate between Machine Learning (ML) and Artificial Intellegience (AI)

Teaching Strategy Interactive academic lectures Individual and group case studies Class and group discussions Practical sessions
Assessment Methods Examination
2.4 Mapped to: S2 , S4

Use statistical software to analyze healthcare data.

Teaching Strategy Practical sessions
Assessment Methods Practical Exam
3.1 Mapped to: V1, V2

Work in a team to perform data analytics professionally.

Teaching Strategy Class and group discussions Individual and group projects
Assessment Methods Assignments, Student projects
Assessment
Weight
Quiz
10%
Mid Term Exam
20%
Assignments
10%
Student projects
10%
Practical Exam
10%
Final Exam
40%
Total
100%