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CompletedNCT04865224Updated Apr 29, 2021

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

An observational study in Hemoglobin Level Measurement and Hemoglobin Level Estimation, sponsored by Karabuk University. Completed at 1 site in Turkey. Per ClinicalTrials.gov, last updated 2021-04-29.

Sponsored by Karabuk University · Observational

Study type
Observational
Model
Other
Time perspective
Cross-sectional
Enrollment
353
Sex
All
01

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.

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Conditions studied

  • Hemoglobin Level Measurement
  • Hemoglobin Level Estimation

Keywords

  • non-invasive
  • deep learning
  • hemoglobin level estimation
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In context

Lead sponsor

Karabuk University is the lead sponsor of 126 studies on the registry; 30 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

People whose hemoglobin level has been measured in the clinic or laboratory.

Inclusion criteria

  • Individuals need to be healthy.
  • Individuals should not have any active hand or nail disease.
  • Individuals should know their hemoglobin level.

Exclusion criteria

Exclusion Criteria:

-In case of any condition that hides the natural nail color, such as henna, nail polish, protective or trauma-induced dents, bruises on the nails of individuals, it is removed from the study.

05

Study design

Observational model
Other
Time perspective
Cross-sectional
Enrollment
353 participants (actual)
Patient registry
No

Interventions

  • Diagnostic testhemoglobin 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.

06

What researchers measure

Primary outcomes

  1. 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

  2. Estimation accuracy analysis

    It is an analysis that compares the estimated hemoglobin values with the measured hemoglobin values.

    Time frame: 1 day

07

Study locations

1 site
  • Karabuk University
    Karabük, 78050, Turkey
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References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 29, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT04865224
Lead sponsor
Karabuk University
Responsible party
Hakan Yılmaz (Asst. Prof. (Ph.D.), Karabuk University) — Principal investigator
First posted
Apr 29, 2021
Start date
Jul 15, 2020
Primary completion
Dec 30, 2020
Completion
Dec 30, 2020
Last update
Apr 29, 2021

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Apr 2021. You cannot join it, but the record below documents what was studied.

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