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Research Hackathon:
Code For Health
23 October, 27 October, 10 November, 20 November 2021
The theme “Code For Health” was created with the aim to bridge the gap between data and healthcare by equipping students with knowledge from various fields of studies. Computer science students will learn how to interpret and utilise medical data and graphs for building better models to meet current needs in healthcare industries, while health sciences students will learn the possible ways of applying machine learning models in their field of studies for a systematic management, analysis, and interpretation skills of big data. This hackathon provides participants the opportunity to enhance your skills ranging from teamwork to problem solving, while building networks with experts from different backgrounds and expertise.
Code For Health:
Workshop & Ideation
23 October 2021
Participants will be grouped into teams of 4 (2 life sciences and 2 computer science students), and together they will exchange skills and brainstorm for a healthcare digital solution. There will be workshops and guidelines provided to ease the process.
ITINERARY
23 October 2021
Session 1: Workshops
Group A (Life Sciences Students)
9.00 AM
Introduction To Machine Learning And Libraries In Python: Data Science Process
Fusionex Team
9.45 AM
Data Acquisition And Preparation
Fusionex Team
10.30 AM
Break
10.40 AM
Building And Evaluation Of Machine Learning Models For Analysis And Prediction
(Part 1: Regression Model)
Fusionex Team
11.25 AM
Break
11.30 AM
Building And Evaluation Of Machine Learning Models For Analysis And Prediction
(Part 2: Classification Model)
Fusionex Team
Group B (Computer Science Students)
9.00 AM
Introduction To Medical Research: Current Trends In Healthcare Data Analytics
Prof Patrice Francois Boursier;
Programme Director, Master in Health Informatics and Analytics; IMU
9.45 AM
Ethics And Regulatory Aspects In Medical Research
Prof Dr Azizi Ayob;
Deputy Director, Commercialisation and Support; IMU
10.30 AM
Break
10.40 AM
Analysing And Interpreting Medical Images
A/Prof Dr Mohammad Faizal Ahmad Fauzi;
Head, MMU-UKM-IMU AI4DP Research Excellence Consortium
11.25 AM
Break
11.30 AM
Analysing And Interpreting Genomic/ Clinical Dataset
Prof Leong Chee Onn;
Deputy Director Research IMU
Session 2: Meet the Team and Group Ideation
2.00 PM
Introduction to the Team and Challenge
2.15 PM
Team Icebreaker in Breakout Rooms
2.45 PM
Introduction to Miro Boards and Toolboxes
3.15 PM
Rules Of Engagement And Team Goals
3.30 PM
Group Ideation:
- Instruction and demo
- Group ideation and getting to a solution
4.30 PM
Group Sharing and Next Steps:
- Each team reveals their Miro boards
- What are the next steps?
- Key takeaway and questions
