Witte, Harald

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2024

Blatter, Tobias U; Schär, David; Witte, Harald; Nakas, Christos T.; Keller, Barbara (2024). Data Mining Reference Intervals by ICD-10 Stratified Differential Distributions. Clinical chemistry, 70(9), pp. 1182-1184. American Association for Clinical Chemistry 10.1093/clinchem/hvae089

2023

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

Blatter, Tobias Ueli; Witte, Harald; Fasquelle-Lopez, Jules; Raisaro, Jean Louis; Leichtle, Alexander Benedikt (2023). 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(e47254), e47254. JMIR Publications 10.2196/47254

Witte, Harald; Blatter, Tobias U.; Nagabhushana, Priyanka; Schär, David; Ackermann, James; Cadamuro, Janne; Leichtle, Alexander B. (2023). Statistical learning and big data applications. Journal of Laboratory Medicine, 47(4), pp. 181-186. De Gruyter 10.1515/labmed-2023-0037

2022

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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