Publications
Talk · IEEE International Conference on Smart Information Systems and Technologies · April 28, 2022
Machine Learning Algorithms for Predicting and Preventive Diagnosis of Cardiovascular Disease
Gulbakyt Sembina, Айгерим Айтим, Medet Shaizat
Abstract
The article shows the creation of 6 trained models for the diagnosis of cardiovascular diseases based on 6 different machine learning algorithms. The best machine learning algorithm is determined. The quality of the model was assessed according to such metrics as the proportion of correct answers, accuracy, and recall. An overview of already implemented projects for the use of artificial intelligence in medicine in Kazakhstan and in the world is presented. Using data of 224 patients, is created training dataset to further train the models.
Artificial Intelligence in HealthcareData Mining and Machine Learning ApplicationsECG Monitoring and Analysiscardiovascular diseasedisease predictionpreventive diagnosis
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