Big Data Analytics for Healthcare Services Using C4.5 Algorithm on Map Reduce

Healthcare industry is an ever-increasing risein the large amount of records such as doctors,patients, medicines and medical history. Althoughprevious medical records are beneficial for not onlyindividual but also human society, maintaining andanalyzing large amount of such data is a bigproblem. Traditional data mining tools areinadequate for such amount of data. Big dataanalysis can be used in various applications withdifferent domains like education, security and healthcare. This system uses MapReduce based C4.5Decision Tree algorithm for health care big data tomanage, analyze and extract the most suitable datafor right conditions. The classification rulesproduced by this system can be used to classify theparticular disease. Tuberculosis disease is used as acase study in the system