Hemoglobin is an important protein that gives the blood its red color and helps transport oxygen to organs. There are quite a lot of people in the world who need to have their hemoglobin levels checked regularly, especially anemia patients. It is important to keep the hemoglobin levels in the blood of these individuals under control. For this, it is necessary to measure in frequent periods. A large group, from adults to children, needs to take these measurements. Most of these are invasive measurements made with blood that require devices and trained people. These painful methods are quite uncomfortable. In this study, non-invasive hemoglobin level measurement was aimed with a combined DL model created by using nail images with age, height, weight, BMI, and gender information of the volunteers.
Study Type
OBSERVATIONAL
Enrollment
353
In this method, in which different deep learning models are used together, the age range is intended to be as wide as possible to provide a quick solution with a high accuracy and low error values.
Karabuk University
Karabük, Turkey (Türkiye)
Bland-Altman analysis
Bland-Altman analysis was performed to make the results simpler and more understandable. This analysis is especially used in the simple and graphical expression of measurements in which two methods are compared.
Time frame: 1 day
Estimation accuracy analysis
It is an analysis that compares the estimated hemoglobin values with the measured hemoglobin values.
Time frame: 1 day
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