%0 Journal Article %1 noauthororeditor %A Sa’di, Sadri %A Hashemi, Ramin %D 2015 %J International Journal on Foundations of Computer Science & Technology (IJFCST) %K (ANNs) Artificial Networks Neural %N 6 %P 7 %R 10.5121/ijfcst.2015.5605 %T A NOVEL PROBABILISTIC ARTIFICIAL NEURAL NETWORKS APPROACH FOR DIAGNOSING HEART DISEASE %U https://wireilla.com/papers/ijfcst/V5N6/5615ijfcst05.pdf %V 5 %X In today's world one of the most common diseases are heart disease which its mortality and disability is high. Therefore, heart disease is one of the biggest health problems in the world. Since the diagnosis of heart disease in people is very important, a method should be used in the right diagnosis of heart diseases that have the least errors in heart disease diagnosis. For this reason, in this paper, Probabilistic Neural Networks (PNNs) for the diagnosis of heart disease from a dataset that includes 303 samples from different patients is used.

@article{noauthororeditor, abstract = {In today's world one of the most common diseases are heart disease which its mortality and disability is high. Therefore, heart disease is one of the biggest health problems in the world. Since the diagnosis of heart disease in people is very important, a method should be used in the right diagnosis of heart diseases that have the least errors in heart disease diagnosis. For this reason, in this paper, Probabilistic Neural Networks (PNNs) for the diagnosis of heart disease from a dataset that includes 303 samples from different patients is used. }, added-at = {2018-07-12T08:00:15.000+0200}, author = {Sa’di, Sadri and Hashemi, Ramin}, biburl = {https://www.bibsonomy.org/bibtex/27b2ab5e4b29b466ec5adf2be4b3fedfc/devino}, doi = {10.5121/ijfcst.2015.5605}, interhash = {f2c2a1e6503a1eba1ad619cfe5ee633c}, intrahash = {7b2ab5e4b29b466ec5adf2be4b3fedfc}, journal = {International Journal on Foundations of Computer Science & Technology (IJFCST) }, keywords = {(ANNs) Artificial Networks Neural}, language = {english}, month = {november}, number = 6, pages = 7, timestamp = {2018-07-12T08:00:15.000+0200}, title = {A NOVEL PROBABILISTIC ARTIFICIAL NEURAL NETWORKS APPROACH FOR DIAGNOSING HEART DISEASE }, url = {https://wireilla.com/papers/ijfcst/V5N6/5615ijfcst05.pdf}, volume = 5, year = 2015 }