NCT04865224

Non-Invasive Estimation of Hemoglobin Levels in Blood Using Combined Deep Learning Methods

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 353 (actual)
• Sponsor: Karabuk University · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Accepted

Summary

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.

Conditions

• Hemoglobin Level Measurement
• Hemoglobin Level Estimation

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	hemoglobin estimation	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.

Timeline

• Start date: 2020-07-15
• Primary completion: 2020-12-30
• Completion: 2020-12-30
• First posted: 2021-04-29
• Last updated: 2021-04-29

Locations

1 site across 1 country: Turkey (Türkiye)