Developing Networks in Obesity using Text Mining

Obesity is a global epidemic affecting over 1.5 billion people and is one of the risk factors for several diseases such as Type 2 diabetes mellitus and hypertension. Despite measures taken by public health authorities to control obesity, number of people affected with obesity and its related disorders are increasing at alarming rate. It is imperative therefore to understand the molecular pathophysiology of obesity prior to undertaking any containment measures. This book summarizes our research work for developing a system with the capability to mine an extensive corpus of scientific articles and produce a network of genes implicated in a given disease. The system has been developed taking Obesity as a test case. The constructed network holds a central place in understanding the pathophysiology of Obesity and will serve as an important tool for the identification of drug targets. This work has been further extended to seven other obesity related disorders (Diabetes Mellitus II, Cholelithiasis, Hypertension, Hyperlipidemia, Polycystic Ovarian Syndrome, Osteoarthritis and Fatty Liver) and four control sets (Rheumatoid Arthritis, Contact Dermatitis, Asthma and Urticaria).

Autorentext

Il dottor Rawal è uno scienziato-fisico interdisciplinare con una vasta esperienza nella costruzione di sistemi di medicina di precisione basati sui dati. Essendo un forte sostenitore e praticante dell'apprendimento automatico, è appassionato di piattaforme sociali, startup e tecnologie per aiutare le persone a migliorare la loro salute e la loro vita.