Investigating the Impact of Environmental Factors and Dietary Choices on Autoimmune Flare-ups

Objective

I have tried to investigate the impact of environmental factors and dietary choices on autoimmune flare-ups using a dataset from the Flare Up app. I have aimed to find answers to questions like:

• Exploratory Data Analysis (EDA): How can we gain a comprehensive understanding of patients data, uncovering hidden insights and patterns?

• Medication-Symptom Relationships: Is there a discernible connection between the medications patients take and the symptoms they report?

• Food Categorization: How can we effectively categorize the myriad food items provided by patients, ensuring meaningful groupings through meticulous data cleaning?

• Correlation with Environmental Factors: Are there correlations between patients environmental conditions (pressure, temperature, humidity) and their self-reported disease activity?

Data Extraction and Overview

• Understanding the 8 million-row dataset from the Flare Up app.
• Overview of collected data types: symptoms, medications, weather, and dietary information.

Data Preprocessing

• Merging and cleaning symptom data into meaningful groups.

• Creating contingency tables to analyze symptom-medication relationships.

  

Environmental Factors and Disease Activity

• Investigating correlations between environmental factors (pressure, temperature, humidity) and autoimmune disease activity.

  

  

  

  

  

Dietary Analysis

• Employing semi-supervised machine learning, including BERT, to categorize food data as "junk" or "non-junk."

• Exploring correlations between dietary choices and disease activity.