International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 121

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 7, July 2015


Building a Classifier using Random Forests

Shah Sanika | Pradhan Madhavi


Abstract: In the healthcare industry, the data is growing day by day. Many organizations store the records of patients in the form of electronic healthcare records (EHR). These records can be used by the doctor for tasks like diagnosis of diseases, etc. Also to detect a disease early, doctor may use the EHR. To assist the doctor, if an algorithm is provided, which classifies data, it becomes much easier for the doctor to identify patients who are likely to develop a disease. Thus, early detection is one advantage of building such classifiers. Another advantage is that the cost of treating any disease will be reduced. Classifier will help to predict the disease and aid in diagnosis. Here, we propose a classifier which gives predictions once the training has been done.


Keywords: Classifier, random forests, evolutionary computing


Edition: Volume 4 Issue 7, July 2015,


Pages: 2412 - 2414


How to Cite this Article?

Shah Sanika, Pradhan Madhavi, "Building a Classifier using Random Forests", International Journal of Science and Research (IJSR), Volume 4 Issue 7, July 2015, pp. 2412-2414, https://www.ijsr.net/get_abstract.php?paper_id=SUB157057

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