Applications of data mining techniques: Empowering quality healthcare services Dr. Dave Meenu1, Dadhich Priyanka2 1Assistant Professor, Department of Computer Science & IT, Jagan Nath University, Jaipur, India. Email: meenu.dave@jagannathuniversity.org 2Research Scholar, Department of Computer Science & IT, Jagan Nath University, Jaipur, India. Email: abhipriya_dadhich@rediffmail.co Online published on 22 June, 2017. Abstract Data pertaining to any industry is multiplying at an enormous speed and in healthcare industry the produced data is not only massive but also quite complex. As a result, proper handling of data is of prime importance in order to convert the available data into useful information that leads to knowledge and apposite decision making. Use of data mining in the healthcare industry is proving to be a boon for attaining speedy, accurate and futuristic results. This paper presents a systematic approach of data mining techniques in healthcare industry and a survey of current techniques of knowledge discovery in databases using data mining techniques that are in use today in medical research and healthcare sector. This paper also focuses on some critical issues and challenges associated with the application of data mining in the profession of healthcare practices. Top Keywords C4.5, Data Mining, Healthcare Sector, ID3, k-NN, SVM. Top |