A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients with COPD - 2017 PROJECT TITLE : A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients with COPD - 2017 ABSTRACT: With the passage of recent federal legislation several medical institutions are now accountable for reaching target hospital readmission rates. Chronic diseases account for many hospital readmissions and Chronic Obstructive Pulmonary Disease has been recently added to the list of diseases for which the United States government penalizes hospitals incurring excessive readmissions. Though there have been efforts to statistically predict those most at risk of readmission, few have focused primarily on unstructured clinical notes. We tend to have proposed a framework that uses Natural Language Processing to analyze clinical notes and predict readmission. Several algorithms at intervals the sector of knowledge mining and Machine Learning exist, therefore a framework for component choice is made to pick the best elements. Naïve Bayes using Chi-Squared feature selection offers an AUC of zero.690 while maintaining fast computational times. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Mining Fashion Outfit Composition Using an End-to-End Deep Learning Approach on Set Data - 2017 Event Detection and User Interest Discovering in Social Media Data Streams - 2017