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Special Topic
Special Topic: Medical Data InformaticsThis course explores statistical models, algorithms, and programming platforms for medical data including imaging, clinical and research text reports, lab results, and patient records.The course will explore detailed aspects of data science research and applications such as reinforcement learning, natural language processing, deep learning, model selection, visualisation, and parallel programming. This course will offer students an opportunity to deepen their understanding in these topics using medical data to explore active research and applications to improve quality of medical care and advance knowledge of big data's role in diagnosis and treatment. Topics include statistical models, algorithms, and programming platforms for processing medical data including medical imaging data (ECG, CT, MRI, fMRI, ultrasound), medical texts (clinical notes, lab reports, published research), and patient medical records (EHR). Students will complete lab assignments to show competency in usage of software platforms for visualisation, parallel processing, and model selection. Students will design and implement a project using machine learning to research possible solutions to real-world problems in the medical data domain. Students will self-reflect on aspects of data science to improve quality, access, and efficacy in medical care.
Students who successfully complete this course will be able to:Demonstrate knowledge of models and algorithms for reinforcement learning, natural language processing, and deep learningShow competency in usage of software platforms for visualisation, parallel processing, and model selectionShow competency in applying skills to process medical imaging data (ECG, CT, MRI, fMRI, ultrasound), medical texts (clinical notes, lab reports, published research), and patient medical records (EHR)Apply data science competencies to design and implement a research project using machine learning to research possible solutions to real-world problems in the medical data domain.Self-reflect on selected aspects of data science to improve quality, access, and efficacy in medical care
Subject to the approval of the Head of School
James Atlas
Domestic fee $905.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Mathematics and Statistics .