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

NCT04865224 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 353

Last updated 2021-04-29

No results posted yet for this study

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

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.

Sponsors & Collaborators

  • Karabuk University

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-07-15
Primary Completion
2020-12-30
Completion
2020-12-30

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04865224 on ClinicalTrials.gov