ME/CFS vs Depression Analysis

The 1,000 records and 16 features in the "me_cfs_vs_depression_dataset.csv" dataset are centered on people who have been diagnosed with depression, ME/CFS (myalgic encephalomyelitis/chronic fatigue syndrome), or both. In order to distinguish between these conditions, the dataset consists of a variety of demographic, behavioral, and health-related characteristics.

contents of the dataset with detailed description :

There are 1,000 records in the me_cfs_vs_depression_dataset, each of which represents a single person. In order to provide context for interpreting health and symptom profiles, the dataset contains demographic information such as age and gender. It includes a number of health-related and symptom-related scores that measure things like sleep quality, cognitive problems (also known as "brain fog"), physical pain, stress, depression severity (as measured by the PHQ-9), general fatigue, the length of post-exertional malaise (PEM), and the average number of hours slept each night. These characteristics provide a multifaceted view of the person's functional state and overall health. The dataset also documents a number of behavioral and lifestyle factors. These include the individual's current employment status, level of social activity, frequency of exercise, frequency of meditation or mindfulness practices, and whether or not they experience PEM. These elements can shed light on how coping mechanisms and day-to-day living may be impacted by medical conditions. it also records the target variable 'diagnosis' which determines if the patient has depression, ME/CFS, or both.