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Shahabeddin Abhari,Sharareh R. Niakan Kalhori,Mehdi Ebrahimi,Hajar Hasannejadasl,Ali Garavand 대한의료정보학회 2019 Healthcare Informatics Research Vol.25 No.4
Objectives: The incidence of type 2 diabetes mellitus has increased significantly in recent years. With the development of artificial intelligence applications in healthcare, they are used for diagnosis, therapeutic decision making, and outcome prediction, especially in type 2 diabetes mellitus. This study aimed to identify the artificial intelligence (AI) applications for type 2 diabetes mellitus care. Methods: This is a review conducted in 2018. We searched the PubMed, Web of Science, and Embase scientific databases, based on a combination of related mesh terms. The article selection process was based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Finally, 31 articles were selected after inclusion and exclusion criteria were applied. Data gathering was done by using a data extraction form. Data were summarized and reported based on the study objectives. Results: The main applications of AI for type 2 diabetes mellitus care were screening and diagnosis in different stages. Among all of the reviewed AI methods, machine learning methods with 71% (n = 22) were the most commonly applied techniques. Many applications were in multi method forms (23%). Among the machine learning algorithms applications, support vector machine (21%) and naive Bayesian (19%) were the most commonly used methods. The most important variables that were used in the selected studies were body mass index, fasting blood sugar, blood pressure, HbA1c, triglycerides, low-density lipoprotein, high-density lipoprotein, and demographic variables. Conclusions: It is recommended to select optimal algorithms by testing various techniques. Support vector machine and naive Bayesian might achieve better performance than other applications due to the type of variables and targets in diabetes-related outcomes classification.
서스펜션 중합된 라텍스 코바인더의 특성과 도공지의 물성 변화
아라즈 압하리(Araz Rajabi Abhari),센젱후이(Zhenghui Shen),임완희(Wanhee Im),이지홍(Jee-Hong Lee),권수진(Soojin Kwon),이학래(Hak Lae Lee) 한국펄프·종이공학회 2018 펄프.종이技術 Vol.50 No.4
A suspension polymerization method was employed to prepare coating cobinder latexes. Suspension polymerized latexes stabilized with anionic polyelectrolytes were used as a coating cobinder, and its effect on the viscosity and water retention value of coating colors was investigated. The effects of suspension-polymerized latexes on coated paper properties including gloss, elongation at break and tensile index were also examined. In addition, the possibility of improving fold cracking resistance of the coated paper with the use of suspension-polymerized latex was investigated. Results showed that suspension-polymerized latexes had a potential of improving coated paper properties and fold cracking resistance. To obtain these benefits, it was suggested that the selection and careful control of the dosage of polyelectrolyte stabilizers should be exercised in the polymerization process.