Tapping the power of clinical data to identify multidimensional Irritable Bowel Syndrome (IBS) endo-phenotype
Irritable bowel syndrome (IBS) is the most commonly encountered functional gastrointestinal disorder. It is characterized by features of abdominal pain and disordered bowel pattern with a worldwide prevalence of approximately 10-14%. Despite its prevalence and often chronic, relapsing nature, the underlying pathophysiology of IBS remains incompletely understood. IBS is a chronic condition and affects the quality of life for one majorly. IBS significantly impairs work productivity. On average, people with IBS miss 2 days of work per month. IBS disrupts patients’ daily lives and activities. 23% of patients with IBS stay home more often due to symptoms. Hence, this becomes a disease which needs to be managed long-term. Patients usually fail to get a proper diagnosis due to the complex nature of IBS, as there are multiple risk factors involved along with other diseases that influences the primary diagnosis. This research builds a solution which shows the other diseases(comorbidities) that are strongly associated in patients with persistent symptoms of IBS. The system identifies the features (symptoms/ diseases/dietary practices) which are strongly associated with IBS, to help clinicians better understand the diagnosis that is timely and efficiently.