record_id stringlengths 14 20 | record_type stringclasses 2
values | lot int64 21.1M 21.1M | device stringclasses 1
value | temperature_c float64 10 40 ⌀ | sample_type stringclasses 3
values | control_level float64 1 2 ⌀ | analyzer_id stringclasses 2
values | sample_no float64 1 8 ⌀ | reference_value_pct float64 4.3 14.3 | shyrai_test1_pct float64 4.3 14.5 | shyrai_test2_pct float64 4.3 14.6 | shyrai_test3_pct float64 4.2 14.8 ⌀ | shyrai_mean_pct float64 5 10.3 ⌀ | bias_pct float64 -3 3.3 | cv_pct float64 0.8 2.8 ⌀ | bias_pass stringclasses 1
value | q_accuracy float64 0.34 1 | q_repeatability float64 0.44 0.84 ⌀ | label_quality_ok int64 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TEMP_40_L1_Analyzer1 | temperature_control | 21,062,021 | Shyrai A1c | 40 | control_solution | 1 | Analyzer 1 | null | 5.15 | 5.1 | 5.2 | null | 5.2 | 0 | null | PASS | 1 | null | 1 |
TEMP_40_L1_Analyzer2 | temperature_control | 21,062,021 | Shyrai A1c | 40 | control_solution | 1 | Analyzer 2 | null | 5.12 | 4.9 | 5 | null | 5 | 3.3 | null | PASS | 0.34 | null | 1 |
TEMP_40_L2_Analyzer1 | temperature_control | 21,062,021 | Shyrai A1c | 40 | control_solution | 2 | Analyzer 1 | null | 10.2 | 10.1 | 10.2 | null | 10.2 | -0.5 | null | PASS | 0.9 | null | 1 |
TEMP_40_L2_Analyzer2 | temperature_control | 21,062,021 | Shyrai A1c | 40 | control_solution | 2 | Analyzer 2 | null | 10.3 | 9.9 | 10.3 | null | 10.1 | -1.9 | null | PASS | 0.62 | null | 1 |
TEMP_10_L1_Analyzer1 | temperature_control | 21,062,021 | Shyrai A1c | 10 | control_solution | 1 | Analyzer 1 | null | 5.2 | 5.2 | 5.1 | null | 5.2 | -1 | null | PASS | 0.8 | null | 1 |
TEMP_10_L1_Analyzer2 | temperature_control | 21,062,021 | Shyrai A1c | 10 | control_solution | 1 | Analyzer 2 | null | 5.1 | 4.9 | 5.2 | null | 5.2 | -1 | null | PASS | 0.8 | null | 1 |
TEMP_10_L2_Analyzer1 | temperature_control | 21,062,021 | Shyrai A1c | 10 | control_solution | 2 | Analyzer 1 | null | 10.2 | 10.4 | 10.2 | null | 10.3 | 1 | null | PASS | 0.8 | null | 1 |
TEMP_10_L2_Analyzer2 | temperature_control | 21,062,021 | Shyrai A1c | 10 | control_solution | 2 | Analyzer 2 | null | 10.3 | 10.2 | 10.3 | null | 10.3 | -0.5 | null | PASS | 0.9 | null | 1 |
VENOUS_BLOOD_1 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | venous_blood | null | null | 1 | 4.4 | 4.3 | 4.3 | 4.2 | null | -3 | 1.4 | PASS | 0.4 | 0.72 | 1 |
VENOUS_BLOOD_2 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | venous_blood | null | null | 2 | 5.12 | 5.1 | 5.2 | 5.1 | null | 0.3 | 1.1 | PASS | 0.94 | 0.78 | 1 |
VENOUS_BLOOD_3 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | venous_blood | null | null | 3 | 6.73 | 6.8 | 6.7 | 6.7 | null | 0 | 0.9 | PASS | 1 | 0.82 | 1 |
VENOUS_BLOOD_4 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | venous_blood | null | null | 4 | 7.52 | 7.6 | 7.5 | 7.2 | null | -1.2 | 2.8 | PASS | 0.76 | 0.44 | 1 |
VENOUS_BLOOD_5 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | venous_blood | null | null | 5 | 8.3 | 8.2 | 8.3 | 8.4 | null | 0 | 1.2 | PASS | 1 | 0.76 | 1 |
VENOUS_BLOOD_6 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | venous_blood | null | null | 6 | 11.5 | 11.2 | 11.4 | 11.5 | null | -1.2 | 1.3 | PASS | 0.76 | 0.74 | 1 |
VENOUS_BLOOD_7 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | venous_blood | null | null | 7 | 12.8 | 12.6 | 12.7 | 12.4 | null | -1.8 | 1.2 | PASS | 0.64 | 0.76 | 1 |
VENOUS_BLOOD_8 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | venous_blood | null | null | 8 | 14.3 | 14.5 | 14.6 | 14.8 | null | 2.3 | 1 | PASS | 0.54 | 0.8 | 1 |
CAPILLARY_BLOOD_1 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | capillary_blood | null | null | 1 | 4.3 | 4.3 | 4.4 | 4.2 | null | 0 | 2.3 | PASS | 1 | 0.54 | 1 |
CAPILLARY_BLOOD_2 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | capillary_blood | null | null | 2 | 5.14 | 5.1 | 5.2 | 5.2 | null | 0.5 | 1.1 | PASS | 0.9 | 0.78 | 1 |
CAPILLARY_BLOOD_3 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | capillary_blood | null | null | 3 | 6.73 | 6.9 | 6.7 | 6.7 | null | 0.5 | 1.7 | PASS | 0.9 | 0.66 | 1 |
CAPILLARY_BLOOD_4 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | capillary_blood | null | null | 4 | 7.52 | 7.6 | 7.4 | 7.2 | null | -1.6 | 2.7 | PASS | 0.68 | 0.46 | 1 |
CAPILLARY_BLOOD_5 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | capillary_blood | null | null | 5 | 8.3 | 8.5 | 8.3 | 8.4 | null | 1.2 | 1.2 | PASS | 0.76 | 0.76 | 1 |
CAPILLARY_BLOOD_6 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | capillary_blood | null | null | 6 | 11.5 | 11.2 | 11.4 | 11.5 | null | 1.2 | 1.3 | PASS | 0.76 | 0.74 | 1 |
CAPILLARY_BLOOD_7 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | capillary_blood | null | null | 7 | 12.8 | 12.6 | 12.5 | 12.4 | null | -2.3 | 0.8 | PASS | 0.54 | 0.84 | 1 |
CAPILLARY_BLOOD_8 | accuracy_assessment | 21,062,021 | Shyrai A1c | null | capillary_blood | null | null | 8 | 14.3 | 14.5 | 14.4 | 14.8 | null | 1.9 | 1.4 | PASS | 0.62 | 0.72 | 1 |
Shyrai A1c Quality Control Dataset
Description
This dataset contains real-world quality control (QC) data collected during the production and testing of the Shyrai A1c glycated hemoglobin analyzer, used for diabetes diagnostics.
The dataset is designed to support research in:
- AI-driven quality management systems (QMS)
- anomaly detection
- predictive quality analytics
- medical device manufacturing
Dataset Structure
The dataset includes the following types of data:
- Production data: lot ID, production date, serial numbers
- Measurement data: repeated measurements, mean values
- Reference values: ABX Pentra C400
- Quality metrics:
- Bias (%)
- CV (%)
- Pass/Fail status
- Test conditions:
- temperature (10°C, 40°C)
- control material levels
- Biological samples:
- venous blood
- capillary blood
- Error logs:
- error codes (101–310)
- error categories
- Derived features:
- ML-ready features
- IDQI-HbA1c quality index
Use Cases
This dataset can be used for:
- quality classification (Pass/Fail)
- anomaly detection in production
- prediction of measurement deviations
- development of digital twin models
- AI integration in QMS systems
Data Format
The dataset is provided in CSV format, structured for machine learning (ML-ready).
Source
Data collected from real production processes at:
LLP “Axel and A” — the first domestic manufacturer of diagnostic test strips for glucose, cholesterol, and triglyceride measurement.
Limitations
- small dataset size (pilot study)
- limited to one analyzer type (Shyrai A1c)
- further validation required for generalization
Citation
If you use this dataset, please cite:
Karimkyzy, B. (2026). Shyrai A1c Quality Control Dataset for AI-driven QMS research.
Author
Bekzat Karimkyzy — PhD doctoral student in Information Technologies (professional track), D. Serikbayev East Kazakhstan Technical University; employee of Axel & A LLP. ORCID: 0009-0004-4696-7927
Future Work
- dataset expansion
- integration with real-time monitoring systems
- development of predictive AI models
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