Conceptual based on the Data Mining Techniques for the Prediction of Hydration Assessment, Breath Analysis and Heart Disease
K. Sai Manoj

Dr. K. Sai Manoj, CEO, Innogeecks Technologies and Amrita Sai Institute of Science and Technology, Vijayawada (Andhra Pradesh), India.

Manuscript received on 08 December 2019 | Revised Manuscript received on 22 December 2019 | Manuscript Published on 31 December 2019 | PP: 389-392 | Volume-8 Issue-12S2 October 2019 | Retrieval Number: L107510812S219/2019©BEIESP | DOI: 10.35940/ijitee.L1075.10812S219

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (

Abstract: Both the facts mining and medicinal offerings corporation have risen some of robust early area frameworks and amazing well being associated frameworks from the scientific and locating facts. With the fast developing of health associated facts advances it’s miles quite simple for the health care providers to examine and save extremely good measures of Patent data. For the effective usage of this statistics for the improvement of the best outcomes within the medicinal services and manner, properly-being professionals need to differentiate the best measures and comply with the proper research techniques for the sort of statistics within acquire. This audit Paper has merged at the information digging strategies for the evaluation of Hydration reputation via Breathe examination and furthermore usage of data digging structures for the expectancy of heart sickness.

Keywords: Statistics Mining, Health Care Enterprise, Hydration Recognition Breathe Studies, Coronary Heart Infection.
Scope of the Article: Regression and Prediction