Prevention of Heart Problem Using Artificial Intelligence
| Autor: | Nimai Chand Das Adhikari |
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| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | International Journal of Artificial Intelligence & Applications. 9:21-35 |
| ISSN: | 0975-900X 0976-2191 |
| Popis: | Heart is the most important organ of a human body as it not only circulates oxygen and other vital nutrients through blood to different parts of the body and helping in the metabolic activities but also removes metabolic wastes. Thus, even a minor problem can affect the whole organism. Hence, researchers are diverting a lot of data analysis work for assisting the doctors to predict the heart problem. So, an analysis of the data related to different health problems and its functioning can help in predicting with a certain probability for the wellness of this organ. In this paper we have analysed the different prescribed data of patients from different parts of India. Using this data, we have built a model which gets trained using this data and tries to predict whether a new out-of-sample data has a probability of having any heart attack or not. This model can help in the decision making along with the doctor to treat the patient well and creating a transparency between the doctor and the patient. In the validation set of the data, it’s not only the accuracy that the model has to take care, rather the True Positive Rate and False-Negative Rate along with the AUC-ROC helps in building/fixing the algorithm inside the model. |
| Databáze: | OpenAIRE |
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