• Er. Spinder Kaur
• Dr. Sandeep Kautish

Data Mining is the emerging field in the world. There are various applications which are directly and indirectly be producing large amount of data. This data will be very difficult to process manually. For extracting the useful facts there requires automatic processing machines. These machines can process the data and extract the useful facts. Similarly in case of health field prediction system is required which can predict the patient future length of stay in the hospital. This prediction is based on past data of the patient or various health parameters of the patient. It identifies the patient future length, so that patient can know the expected expenses that are going to be occurred for full medical procedure. Random forest and the Gradient Boosting machine are two basic techniques. In existing research paper Random forest based technique was used. In proposed research for enhancing the prediction accuracy and reduction in the error rate Gradient Boosting machine based technique is used. Its performance in both the perspective is better compared to the random forest.

FLOP, Random Forest, Gradient Boosting Machine.

"Building Prediction Based System For Future Length Of Stay Using Gradient Boosting Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.508-512, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805824.pdf

"Building Prediction Based System For Future Length Of Stay Using Gradient Boosting Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp508-512, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805824.pdf