Exploring the Hyperlink Between Sleep Issues and Well being Indicators | by Mary Ara | Sep, 2024
A Python evaluation of a MIMIC-IV well being knowledge (DREAMT) to uncover insights into elements affecting sleep issues.
On this article, I will probably be analysing members’ info from the DREAMT dataset with the intention to uncover relationships between sleep issues like sleep apnea, loud night breathing, issue respiratory, complications, Stressed Legs Syndrome (RLS), snorting and participant traits like age, gender, Physique Mass Index (BMI), Arousal Index, Imply Oxygen Saturation (Mean_SaO2), medical historical past, Obstructive apnea-hypopnea index (OAHI) and Apnea-Hypopnea Index (AHI).
The members listed below are those that took half within the DREAMT research.
The result will probably be a complete knowledge analytics report with visualizations, insights, and conclusion.
I will probably be using a Jupyter pocket book with Python libraries like Pandas, Numpy, Matplotlib and Seaborn.
The information getting used for this evaluation comes from DREAMT: Dataset for Actual-time sleep stage EstimAtion utilizing Multisensor wearable Know-how 1.0.1. DREAMT is a part of the MIMIC-IV datasets hosted by PhysioNet.
