Medtech and AI

AHI estimation from sleep stages, breathing rate features, movement data and STOP-BANG questionnaire responses using ML techniques

Apnea-hypopnea index (AHI) is a clinical parameter used to diagnose sleep apnea, a breathing disorder. The project would involve deriving features from various other data points which are not directly involved in AHI calculation, however can lead to a decent estimate of AHI. Also the project would require intense research on what data needs to be considered as well as which features can be derived from the data sets.

Responsibilities

Understand and study various data sets in order to obtain relevant clinical parameters that can be used to predict diseases.

Qualifications

Preferred Bachelors/ Masters students from the relevant field

Key skills

- Data science and Machine Learning knowledge

- Knowledge of Python / Pandas