View Proposal

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Proposer

Drishty Sobnath

Title

An Exploration of Machine Learning Algorithms in Healthcare sector (e.g. Heart Failure, Cancer classification, COPD prediction)

Goal

Produce, evaluate, and optimise multiple machine learning models to accurately predict the risk of a patient suffering from heart-failure or any other chronic diseases, based on existing health public datasets.

Description

According to the World Health Organisation (WHO), cardiovascular diseases cause around 17.9 million deaths every year, due to an increasing number of heart attacks and strokes. Therefore, this study aims to utilize data science and machine learning techniques to explore the relationships among contributing factors that may have a bearing on the risk of suffering from heart disease. It aims to accurately predict whether a patient is likely to suffer from heart disease based on based on existing health public datasets.

Resources

Python programming, Statistical modelling, Data Science, Machine learning, WHO, NHS, NIHR (for health topics)

Background

Url

Difficulty Level

Variable

Ethical Approval

None

Number Of Students

1

Supervisor

Drishty Sobnath

Keywords

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Information Technology (Software Systems)
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Postgraduate Diploma in Artificial Intelligence
Bachelor of Science in Statistical Data Science