Akademik Veri Yönetim Sistemi
Bursa 4th International Conference on Mathematics and Engineering, Bursa, Türkiye, 24 - 26 Ocak 2025, ss.197-211, (Tam Metin Bildiri)
Today, the increase in the number of diseases and patients increases the importance of early diagnosis and preventive health services. The face mapping approach involves the use of facial symptoms and changes for disease diagnosis and health status assessment. In traditional medical approaches (such as Chinese Medicine, Persian Medicine, Islamic Medicine), it is believed that certain points reflecting each organ and system of the body are located on the face and are used in diagnosis and assessment processes by traditional medical practitioners specialized in these fields. Face mapping is performed by observing these points and examining physical features such as skin color, texture, wrinkles, acne, swelling, and spots. In our study, modern artificial intelligence and image processing techniques were used to evaluate the health status with the face mapping method. It is aimed to combine face mapping techniques obtained from traditional medical practices with modern artificial intelligence methods to make a more comprehensive health analysis. Using the face mapping system, the points where different parts of the face (forehead, chin, cheeks, etc.) are related to organs will be determined and analyzed. This system aims to contribute to the early diagnosis of diseases and the taking of preventive measures. It will enable people to quickly get general information about their health status at home regarding their complaints and help them determine the relevant medical departments in cases where they need to go to the hospital. The system to be developed in this way will support people to access health services more quickly and effectively, prevent unnecessary loss of time in hospitals and increase the efficiency of health services. During the data collection process, facial images were obtained from the participants. The forehead, chin and cheek areas will be detected in the facial images and color, skin texture and spot analyses will be performed in these areas. Health status will be evaluated as a result of the color and texture analyses performed in the detected areas on the face. In line with this scope, the study aims to integrate both traditional medicine into modern medical diagnostic processes and to develop innovative methods in the field of health technologies. The study first studied Anemia. Lip images were separated from the photographs taken using image processing techniques. Anemia was detected in the color tone differences in the obtained images. In this study, the difference between people with anemia and healthy people was evaluated.