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iT2DMS: a Standard-Based Diabetic Disease Data Repository and its Pilot Experiment on Diabetic Retinopathy Phenotyping and Examination Results Integration

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Abstract

Type 2 diabetes mellitus (T2DM) is a common chronic disease, and the fragment data collected through separated vendors makes continuous management of DM patients difficult. The lack of standard of fragment data from those diabetic patients also makes the further potential phenotyping based on the diabetic data difficult. Traditional T2DM data repository only supports data collection from T2DM patients, lack of phenotyping ability and relied on standalone database design, limiting the secondary usage of these valuable data. To solve these issues, we proposed a novel T2DM data repository framework, which was based on standards. This repository can integrate data from various sources. It would be used as a standardized record for further data transfer as well as integration. Phenotyping was conducted based on clinical guidelines with KNIME workflow. To evaluate the phenotyping performance of the proposed system, data was collected from local community by healthcare providers and was then tested using algorithms. The results indicated that the proposed system could detect DR cases with an average accuracy of about 82.8%. Furthermore, these results had the promising potential of addressing fragmented data. The proposed system has integrating and phenotyping abilities, which could be used for diabetes research in future studies.

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Funding

This study was funded by the grant of National Natural Science Foundation of China (No. 81501559), Graduate Research and Innovation Plan Project of Nantong University (YKC16072).

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Correspondence to Kui Jiang.

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Author HW declares that he has no conflict of interest. Author YW declares that she has no conflict of interest. Author YS declares that she has no conflict of interest. Author WS declares that he has no conflict of interest. Author LW declares that she has no conflict of interest. Author JL declares that he has no conflict of interest. Author AS declares that he has no conflict of interest. Author LS declares that she has no conflict of interest. Author KJ declares that she has no conflict of interest. Author JD declares that he has no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

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Wu, H., Wei, Y., Shang, Y. et al. iT2DMS: a Standard-Based Diabetic Disease Data Repository and its Pilot Experiment on Diabetic Retinopathy Phenotyping and Examination Results Integration. J Med Syst 42, 131 (2018). https://doi.org/10.1007/s10916-018-0939-0

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  • DOI: https://doi.org/10.1007/s10916-018-0939-0

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