• M. Dhana Lakshmi
• Dr.S.Vasundra

Feature selection is a necessary technique for data processing. Despite its importance, most studies of feature selection square measure restricted to batch learning. Not at all like antiquated cluster learning courses that, on-line learning speaks to a promising group of practical, climbable machine learning calculations for extensive scale applications. The machine learning field has picked up its energy in for all intents and purposes any area of examination and just as of late close past has turned into a solid device in the restorative space. Machine Learning (ML) is incredible as an instrument by that PC based frameworks are regularly incorporated into the tending field to prompt extra prudent treatment. A ML-based technique is portray to make relate application that is equipped for trademark and spreading social insurance information. It removes sentences from composed therapeutic papers that specify sicknesses and covers and recognizes semantics relations that exist amongst maladies and covers. Our work is to point out what language process and machine learning (ML) strategies what delineation of information and what characterization calculations are proper to use for trademark and ordering significant medicinal data to sum things up writings. The empowering after effects of our analyses approve the effectiveness and strength of arranged systems.

Big data analytics, Healthcare, Machine learning, Hospital queuing recommendation.

"Predicting The Treatment Time In Hospitals Using SVM Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.653-656, June-2018, Available :http://www.jetir.org/papers/JETIR1806338.pdf

"Predicting The Treatment Time In Hospitals Using SVM Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp653-656, June-2018, Available at : http://www.jetir.org/papers/JETIR1806338.pdf