BWF 2020/22: Health Analytics and Data Mining

Health Analytics and Data Mining

BWF Pathway Level

Advanced

Session & Time

Platforms

Eight (8) sessions
17 June - 7 August 2022
Every Sunday | 13:00 - 17:00 (GMT+8)

Zoom & Discord

Programme

Date	Time	Topic
19 June 2022	13:00 - 17:00	Health informatics
26 June 2022	13:00 - 17:00	Data standards & regulations in health information systems
3 July 2022	13:00 - 17:00	Mining healthcare data
10 July 2022	13:00 - 17:00	Exploring healthcare data
17 July 2022	13:00 - 17:00	Classification of healthcare data
24 July 2022	13:00 - 17:00	Association and cluster analysis
31 July 2022	13:00 - 17:00	Anomaly detection
7 August 2022	13:00 - 17:00	Health analytics

Instructor

Mogana Darshini Ganggayah was awarded a Bachelor of Science in Bioinformatics with Distinction from University Malaya in 2018. She then enrolled into PhD in 2018 and completed her Doctoral Degree in Data Science. Currently, Mogana is actively involved in research and development related to data science and had published high impact academic journal articles. Her fields of expertise are data science, machine learning, database development and management, web development, and medical informatics. She is engaged with projects regarding big data especially medical data analytics from data management, knowledge extraction to pipeline development for decision-making. Mogana has been a teaching assistant for Bioinformatics undergraduates in University Malaya from 2018 till 2019. The courses that she has taught are Database Management and Operating System. Mogana has been a part-time trainer in Perdana University School of Data Sciences for courses namely Data Analytics Essentials, Machine Learning, Application of Big Data and Introduction to R and Data Visualization using R ggplot2. Currently, Mogana is affiliated with the University Malaya, Medical Centre as a Data Scientist under Research, Development and Innovation Department working on the enhancement of big data analytic solutions using data science approach. She is also a certified trainer under Human Resources Development Fund (HRDF). Her research interest in Data Science inspires herself to continually acquire new skills and knowledge in the state-of-the-art.