Yonsei medical journal
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Yonsei medical journal · Jan 2022
Gut Microbiome in Probable Intestinal Tuberculosis and Changes following Anti-Tuberculosis Treatment.
Information on the gut microbiome in patients with intestinal tuberculosis (ITB) and changes therein following anti-tuberculosis treatment (ATT) is lacking. We aimed to elucidate differences in stool microbiome between ITB patients and controls and to evaluate stool microbiome changes after ATT. ⋯ There were no significant differences in alpha- and beta-diversity in the stool microbiome at 0, 2, and 6 months after ATT. The stool microbiome composition of probable ITB patients was different from that of controls, and 6 months of ATT did not significantly affect it.
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Yonsei medical journal · Jan 2022
Concept and Proof of the Lifelog Bigdata Platform for Digital Healthcare and Precision Medicine on the Cloud.
We propose the Lifelog Bigdata Platform as a sustainable digital healthcare system based on individual-centric lifelog datasets and describe the standardization of lifelog and clinical data in its full-cycle management system. ⋯ The Lifelog Bigdata Platform is the first to combine lifelog and clinical data. The proposed standardization guidelines can be used for future platforms to achieve a virtuous cycle structure of lifelogging big data and an industrial ecosystem.
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Yonsei medical journal · Jan 2022
Development and Validation of the Radiology Common Data Model (R-CDM) for the International Standardization of Medical Imaging Data.
Digital Imaging and Communications in Medicine (DICOM), a standard file format for medical imaging data, contains metadata describing each file. However, metadata are often incomplete, and there is no standardized format for recording metadata, leading to inefficiency during the metadata-based data retrieval process. Here, we propose a novel standardization method for DICOM metadata termed the Radiology Common Data Model (R-CDM). ⋯ R-CDM standardizes the structure and terminology for recording medical imaging data to eliminate incomplete and unstandardized information. Successful standardization was achieved by the extract, transform, and load process and image classifier. We hope that the R-CDM will contribute to deep learning research in the medical imaging field by enabling the securement of large-scale medical imaging data from multinational institutions.
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Yonsei medical journal · Jan 2022
Urine Protein Levels Predict Future Development of Cerebral Infarction in Koreans.
Proteinuria is a clinical sign of adverse cardiovascular outcomes, including stroke. We aimed to assess the relationship between proteinuria and the occurrence of cerebral infarction. ⋯ An increase in urine protein levels was significantly related to the risk of developing cerebral infarction. Our results suggest that proteinuria might be a potential risk factor for cerebral infarction and that urine dipstick test analysis may be clinically useful for predicting stroke.
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While digital health solutions have shown good outcomes in numerous studies, the adoption of digital health solutions in clinical practice faces numerous challenges. To prepare for widespread adoption of digital health, stakeholders in digital health will need to establish an objective evaluation process, consider uncertainty through critical evaluation, be aware of inequity, and consider patient engagement. By "making friends" with digital health, health care can be improved for patients.