Knowledge management on pulmonary complication of HIV patients with data mining approach

Abstract

Healthcare industry today generates large amounts of complex data about patients, hospitals resources, disease diagnosis, electronic patient record, medical devices etc. The large amount of data is a key resource to be processed and analyzed for knowledge extraction that enables support for cost savings and decision making. Data mining brings a set of tools and techniques that can be applied to this processed data to discover hidden patterns that provide healthcare professionals an additional source of knowledge for making decisions. AIDS, the acquired Immune Deficiency syndrome is a set of symptoms and infections resulting from the damage done to the human immune system caused by the Human Immunodeficiency Virus (HIV). AIDS is one of the most challenging medical issues all over the world. Globally, there are more than 34 million people that are infected in 2011, and this number equals to an increase by 17% from incidence in 2001. Pulmonary complication is one of the most frequent complications that occurs in HIV infection. The aim of this study is to know the proportion of pulmonary complications which might occur in HIV patients by using data mining technique. This model development, which is a part of knowledge management, is useful to discover the relationship between HIV infections with pulmonary complications which therefore will help clinician to have an early diagnosis and prompt treatment for HIV patients. This will eventually prevent further complications. In addition, this may provide clear and useful results to the data analyst.