Volume 7 Issue 2 - July 2016

  • 1. Heart disease and data mining: collaboration in the making

    Authors : Neha Chauhan

    Pages : 49-55

    DOI : http://dx.doi.org/10.21172/1.72.508

    Keywords : Heart Disease,Data Mining, K-Mean Clustering, SVM, KNN, Artificial Neural Network.

    Abstract :

    The healthcare sector assemble enormous quantity of healthcare data which cannot extract to uncover secret information for making effectual decision. Although, these data have a plenty of unrevealed information which is untapped and not being used appropriately for predictions. In case of Heart Disease, it becomes more influential which is considered as the predominant reason behind death all around the world. Detection of several disease of heart is an expressive and vapid task in medicine. Heart Disease defines various healthcare conditions that are highly voluminous in nature which are related to heart and has many root causes that effect the entire body. In medical field, Data Mining provide various methods that are useful in resolution's the clinical support systems for predicting and detecting the several kind of diseases. This paper discussed the overall review of predicting heart disease by using various techniques of data mining. These techniques used in heart diseases takes less time and make process fast for the prediction system to predict heart diseases with good validity in order to improve their health.

    Citing this Journal Article :

    Neha Chauhan, "Heart disease and data mining: collaboration in the making", https://www.ijltet.org/journal_details.php?id=906&j_id=3212, Volume 7 Issue 2 - July 2016, 49-55, #ijltetorg