E-Health

Objective

To derive important insights from biomedical data using machine learning models.

Team

This is a collaborative work between:

• ADAPT SFI Research Centre
• University College Dublin

Description

The field of medicine has witnessed great improvement because of technological advancements. It has become easier to collect a range of healthcare data due to low-cost wearable devices. The insights acquired from mining clinical data have proved useful for decision making in improving healthcare and reducing healthcare costs.

In this research theme, we perform proactive medical diagnostics using statistical and machine-learning techniques. Using a publicly available dataset of electronic health records, we identify the key risk factors associated with stroke.

We show the importance of each patient attribute in predicting the occurrence of stroke using a Learning Vector Quantization (LVQ) model.

Results

Please refer to the publications.