Survey on Heart Failure Prediction Techniques Based on Complex Event Processing
Manaswini P Sudhal,  Shubhangi Vairagar
Nowadays, chronic heart failure (CHF) affects an ever-growing segment of population, and it is among the major causes of hospitalization for elderly citizens. The actual out-of-hospital treatment model, based on periodic visits, has a low capability to detect signs of destabilization and leads to a high re-hospitalization rate. Heart failure or congestive heart failure occurs when the heart is not capable of pumping enough blood in the cardiovascular system that is crucial for other body organs to work. This paper we present health analysis approach for heart failure prediction. It is based on the use of complex event processing (CEP) technology, combined with statistical approaches. A CEP engine processes incoming health data by executing threshold-based analysis rules. Proposed statistical algorithm automatically computes and updates thresholds according to recorded historical data.
Keywords- Chronic Heart Failure (CHF), Heart Failure Prediction, Complex Event processing, and cardiovascular system.
Cite this Article
Manaswini P Sudhal,  Shubhangi Vairagar,   "Survey on Heart Failure Prediction Techniques Based on Complex Event Processing"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 4, pp.350-352, December 2018, Available at :http://www.ijedr.org/papers/IJEDR1804064.pdf