• Korean Journal of Artificial Intelligence
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• v.11 no.3
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• pp.29-34
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• 2023

Recently, the rapid development of artificial intelligence technology, many studies are being conducted to predict the risk of heart disease in order to lower the mortality rate of cardiovascular diseases worldwide. This study presents exercise or dietary improvement contents in the form of a software app or web to patients with cardiovascular disease, and cardiovascular disease through digital devices such as mobile phones and PCs. LR, LDA, SVM, XGBoost for the purpose of developing "Life style Improvement Contents (Digital Therapy)" for cardiovascular disease care to help with management or treatment We compared and analyzed cardiovascular disease prediction models using machine learning algorithms. Research Results XGBoost. The algorithm model showed the best predictive model performance with overall accuracy of 80% before and after. Overall, accuracy was 80.0%, F1 Score was 0.77~0.79, and ROC-AUC was 80%~84%, resulting in predictive model performance. Therefore, it was found that the algorithm used in this study can be used as a reference model necessary to verify the validity and accuracy of cardiovascular disease prediction. A cardiovascular disease prediction analysis algorithm that can enter accurate biometric data collected in future clinical trials, add lifestyle management (exercise, eating habits, etc.) elements, and verify the effect and efficacy on cardiovascular-related bio-signals and disease risk. development, ultimately suggesting that it is possible to develop lifestyle improvement contents (Digital Therapy).

• The Journal of Korea Assosiation for Disability and Oral Health
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• v.3 no.1
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• pp.17-21
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• 2007

Alagille syndrome is an autosomal dominant genetic disorder and occurs in approximately 1 in 100,000 live births. Diagnostic criteria was established by Alagille. It is mainly caused by a mutation in the Jagged1 gene. Major clinical features of this syndrome are paucity of intrahepatic bile duct with cholestasis, characteristic facies, cardiac murmur, defects of vertebrae, and embryotoxon. And minor clinical features are mental retardation, renal involvement, growth retardation, other skeletal abnormalities, a high-pitched voice. The surviving prognosis of Alagille syndrome patients depends on the severity of cardiovescular malformation in the early ages of infant. However, with the increasing years, it depends on the severity of the liver disease. Cholestasis causes congenital jaundice, malnutrition and growth retardation. Also, the increase of serum cholesterol level cause xanthoma and pruritus. Even though the severity of these problems are reduce with age, there is cases where there is no way but liver transplantation. For oral features of Alagille syndrome patients, green discoloration of entire dentition, induced by bilirubin infiltration into dentinal tubules, is especially. Also, xanthoma on gingiva and partial hypodontia have been reported. This report is on the oral features of an Alagille syndrome patient who visited to Kyung-Pook University Hospital.