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Simon Lebech

As seen in: arXiv, MDPI, Biomed Central (BMC)
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Articles by Simon Lebech

Computer Science > Machine Learning

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By Simon Lebech
| arXiv
[Submitted on 14 Jun 2026] Title:Informative Missingness to Generate Irregular Clinical Time Series View a PDF of the paper titled Informative Missingness to Generate Irregular Clinical Time Series, by Hadi Mehdizavareh and 6 other authors View PDF HTML (experimental) Abstract:Laboratory tests in electronic health records are collected irregularly, and the absence of a test order can be as informative as the measurement itself.
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The History, Evolution and Future of Continuous Glucose Monitoring (CGM)

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By Clara Bender, Peter Vestergaard, Simon Lebech Cichosz, Simon Lebech
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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[2411.01418] Enhancing Glucose Level Prediction of ICU Patients through Irregular Time-Series Analysis and Integrated Representation

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By Simon Lebech
| arXiv
[Submitted on 3 Nov 2024] Title:Enhancing Glucose Level Prediction of ICU Patients through Irregular Time-Series Analysis and Integrated Representation View a PDF of the paper titled Enhancing Glucose Level Prediction of ICU Patients through Irregular Time-Series Analysis and Integrated Representation, by Hadi Mehdizavareh and 1 other authors View PDF HTML (experimental) Abstract:Accurately predicting blood glucose (BG) levels of ICU patients is critical, as both hypoglycemia (BG < 70 mg/dL)...
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Telemedicine as a tool for bridging geographical inequity: insights in geospatial interactions from a study on chronic heart failure patients - BMC Public Health

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By Simon Lebech, Alexander Arndt Pasgaard, Flemming Witt
| Biomed Central (BMC)
Our aim is to investigate the presence and magnitude of a geospatial interaction effect on the health benefit of a supplementary telemedicine intervention by analyzing the relationship between distance to a regular place of treatment and the benefit of telemedicine in a secondary analysis of data from a previously conducted RCT.
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A Comparative Analysis of Machine Learning Models for the Detection of Undiagnosed Diabetes Patients

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By Simon Lebech Cichosz, Ole K. Hejlesen, Clara Bender, Simon Lebech
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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