Obesity and Co-Morbidity Detection in Clinical Text Using Deep Learning and Machine Learning Techniques

Nowadays medical research plays an important role of community safeguard by finding the solutions to health related problems. An early detection or Co-morbidity Detection of a disease can help both patients and doctors to act and eradicate the root cause or work on preventing further deterioration of the detected disease symptoms. One of the methods to detect the disease is by going through patients' medical history but this is time-consuming manual process which comes with an expense of error-prone analysis. Hence a need to detect the co-morbidity or the existing disease in an automated or semi-automated fashion is become a need of the hour. In this paper we have used machine learning and deep learning techniques on publically available i2b2 clinical datasets to detect the chronic disease status like obesity. Our experiments have shown promising results.