decision tree

PREDICTION OF THE OCCURRENCE OF STROKE BASED ON MACHINE LEARNING MODELS

The research conducted in the medical domain addressed a topic of significant importance, steadily growing in relevance each year. The study focused on predicting the onset of strokes, a condition posing a grave risk to individuals' health and lives. Utilizing a highly imbalanced dataset posed a challenge in developing machine learning models capable of effectively predicting stroke occurrences. Among the models examined, the Random Forest model demonstrated the most promising performance, achieving precision, recall, and F1-score metrics of 90%.

Use of Data Mining in the prediction of risk factors of Type 2 diabetes mellitus in Gulf countries

Prevalence of diabetes in Gulf countries is knowing a significant increase because of various risk factors, such as: obesity, unhealthy diet, physical inactivity and smoking.  The aim of our proposed study is to use Data Mining and Data Analysis tools in order to determine different risk factors of the development of Type 2 diabetes mellitus (T2DM) in Gulf countries, from Gulf COAST dataset.

Designing and Implementation of the Information System for Providing Recommendations to People With Mental Disorders

The authors of the article have developed methodological grounds, designed and implemented an information system to provide recommendations to people with mental disorders. The analysis of the main ways of using information technology in mental health treatment has resulted in the finding that mobile devices with certain software can significantly reduce the number of visits to qualified specialists, which make mental health therapy much more accessible to people with limited time or material resources.

Метод формального визначення якості допису на спеціалізованих сайтах

Post quality assessing algorithm based on the set of chosen parameters is considered in the article. To solve the problem the following next instruments will be used: Java library called Jsoup for HTML-code parsing, and Matlab tools for building the decision tree for post quality assessing.