Predicting Heart Attacks in Patients Using Artificial Intelligence Methods

Predicting seminal quality with artificial intelligence methods

0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.05.028 ⇑ Corresponding author. E-mail address: [email protected] (D. Gil). 1 These authors equally contributed to this work. Fertility rates have dramatically decreased in the last two decades, especially in men. It has been described that environmental factors, as well as life habits, may affect semen quality...

Performance Comparison of Artificial Intelligence Methods for Predicting Cash Flow

Cash flow forecasting is indispensable for managers, investors and banks. However, which method is more robust has been argued under the condition of small size samples. With sliding window technique we create the Response Surface, Back Propagation Neural Network, Radial Basis Functions Neural Network and Support Vector Machine models respectively, which are examined by comparing performances o...

CS229 Predicting Heart Attacks

In this paper, the use of multiple machine learning algorithms for arrhythmia analysis is explored. We present different models built by multi-class supported vector machines (SVM), multi-class Nave Bayes (NB), decision tree and random forest. The performance of the various models in predicting the presence of cardiac arrhythmia and further classifying the instances into 16 pre-defined groups i...

Prediction Based Diagnosis Using Artificial Intelligence Methods

Bayesian Methods in Artificial Intelligence

In many problems in the area of artificial intelligence, it is necessary to deal with uncertainty. Using probabilistic models can also improve efficiency of standard AI-based techniques. Commonly used methods for dealing with uncertainty include Bayesian models, which can be used to describe and work with probabilistic systems effectively. This article reviews several models based on the Bayesi...