Nakas, Christos Theodoros

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Journal Article

Blatter, Tobias Ueli; Nakas, Christos Theodoros; Leichtle, Alexander Benedikt (2024). Direct, age- and gender-specific reference intervals: applying a modified M-estimator of the Yeo-Johnson transformation to clinical real-world data. Journal of Laboratory Medicine De Gruyter 10.1515/labmed-2024-0076

Blatter, Tobias Ueli; Witte, Harald; Fasquelle-Lopez, Jules; Nakas, Christos Theodoros; Raisaro, Jean Louis; Leichtle, Alexander Benedikt (2023). Correction: The BioRef Infrastructure, a Framework for Real-Time, Federated, Privacy-Preserving, and Personalized Reference Intervals: Design, Development, and Application. Journal of medical internet research, 25(e54809), e54809. JMIR Publications 10.2196/54809

Witte, Harald; Nakas, Christos Theodoros; Bally, Lia; Leichtle, Alexander Benedikt (2022). Machine-learning Prediction of Hypo- and Hyperglycemia from Electronic Health Records: Algorithm Development and Validation. JMIR formative research, 6(7), e36176. JMIR Publications 10.2196/36176

Blatter, Tobias Ueli; Witte, Harald; Nakas, Christos Theodoros; Leichtle, Alexander Benedikt (2022). Big Data in Laboratory Medicine—FAIR Quality for AI? Diagnostics, 12(8), p. 1923. MDPI 10.3390/diagnostics12081923

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