“Mathematical Modeling in Health Course” where mathematical modeling in medicine studied with examples attracted great attention…

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Added On: 11 January 2020, Saturday, 21:50
Last Edited On: 11 January 2020, Saturday, 21:50
“Mathematical Modeling in Health Course” where mathematical modeling in medicine studied with examples attracted great attention…

Near East University Experimental Health Sciences Research Center (DESAM) has organized a course on Mathematical Modeling in Health which has become an important topic both in mathematics education and in various sectors in recent years.

According to the information provided by the Near East University Directorate of Press and Public Relations, the course, through which the basic building blocks of Mathematical Modeling were given, attracted great attention of young academics. Samples related to modeling, which became an important part of medical researches, were shared, and solutions to problems that could potentially be addressed mathematically were discussed through mathematical modeling.

Giving information about the basic building blocks of Mathematical Modeling to the course participants, Prof. Dr. Evren Hıncal said that mathematical modeling is the process of translating real-life problems into mathematical language and expressing them mathematically.

Mathematical Modeling and its place in Medical Research…
Prof. Dr. Hıncal pointing out that mathematical modeling has recently become a very important part of modern medical research, stated that it has been used more and more by developed countries in diagnosis and treatment of diseases such as cancer, heart attack, AIDS, etc. Prof. Dr. Hıncal stating that with the developing technology, mathematics began to take place in life in a way that can be noticed and the “Mathematical Medicine’ science research has an important function in early diagnosis and treatment.

Prof. Dr. Hıncal further said that the treatment and diagnosis methods developed through mathematical medicine research have been used in many fields of medicine such as cancer and heart diseases, cell modeling and now it has been widely used in the management of hospitals and health care institutions as well as in clinical studies.

Mathematical Modeling is Important in Epidemic Diseases…
Another speaker of the course, Assist. Prof. Dr. Bilgen Kaymakamzade shared detailed information about the health applications of Mathematical Models with the trainees.

She stated that mathematical modeling provides valuable contributions to the identification, modeling, prediction, control and treatment of epidemic diseases that humanity has been fighting for centuries. Assist Prof. Dr. Kaymakamzade, stated that since1927 to the present-day different models have been put forward under the main section of compartment models SIR, SIS, SIRS, SEIR, SEIRS, MSEIR and MSEIRS, and the processes related to infectious diseases are analyzed in detail through mathematical models.

Some mathematical models related to H1N1 pandemic studied in the course…
In the course, illustrative applications about influenza models were discussed and some mathematical models related to the current H1N1 pandemic were discussed. In addition, the importance of creating a synergy was emphasized by drawing attention to the cooperation between the scientific and health sciences researchers.

SPSS Analysis Explained…
Within the scope of the course, Prof. Dr. İlker Etikan gave information about the Statistical Program for Social Sciences (SPSS) which is an important computer program, which is frequently used in social sciences, education sciences, health sciences, and natural sciences.

Examples of Artificial Intelligence in the health field presented…
Assoc. Prof. Dr. Dilber Uzun Özşahin and lecturer Berna Uzun discussed multi-criteria decision theories and demonstrated the applications of this modeling in the field of health. In addition, Prof. Dr. İsa Dumanoğlu and Assist. Prof. Dr. Hüseyin Sevay presented general information about Python, a general-purpose and interpretive programming language, which is widely used in artificial intelligence applications today, and exemplified its applications in the field of health.