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Anoeska Schipper

Showing results (1-10 of 8) with videos related to

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Clinical Chemistry and Laboratory Medicine|August 31, 2023
Predicting hemoglobinopathies using ChatGPTSteef Kurstjens, Anoeska Schipper, Johannes Krabbe, et al.
Diabetes, Obesity & Metabolism|July 2, 2025
A personalized approach to classify the degree of liver insulin resistance in children with obesityRoel Tans, Anoeska Schipper, Elma de Vaan, et al.
World Journal of Emergency Surgery : WJES|December 24, 2024
Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency departmentAnoeska Schipper, Peter Belgers, Rory O'Connor, et al.
Annals of Emergency Medicine|February 22, 2024
In replyHidde Ten Berg, Bram van Bakel, Lieke van de Wouw, et al.
JMIR Medical Informatics|May 4, 2026
Large Language Model Automated Extraction of Clinical Signs and Symptoms From Emergency Department Reports for Machine Learning Prediction Models: Development and Validation StudyAnoeska Schipper, Peter Belgers, Rory David O'Connor, et al.
Annals of Emergency Medicine|September 10, 2023
ChatGPT and Generating a Differential Diagnosis Early in an Emergency Department PresentationHidde Ten Berg, Bram van Bakel, Lieke van de Wouw, et al.
Clinical Chemistry|June 21, 2024
Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count DataAnoeska Schipper, Matthieu Rutten, Adriaan van Gammeren, et al.
Clinical Chemistry and Laboratory Medicine|October 11, 2024
Inconsistency in ferritin reference intervals across laboratories: a major concern for clinical decision makingSteef Kurstjens, Andrea D van Dam, Ellis Oortwijn, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Clinical Chemistry and Laboratory Medicine|August 31, 2023
Predicting hemoglobinopathies using ChatGPTSteef Kurstjens, Anoeska Schipper, Johannes Krabbe, et al.
Diabetes, Obesity & Metabolism|July 2, 2025
A personalized approach to classify the degree of liver insulin resistance in children with obesityRoel Tans, Anoeska Schipper, Elma de Vaan, et al.
World Journal of Emergency Surgery : WJES|December 24, 2024
Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency departmentAnoeska Schipper, Peter Belgers, Rory O'Connor, et al.
Annals of Emergency Medicine|February 22, 2024
In replyHidde Ten Berg, Bram van Bakel, Lieke van de Wouw, et al.
JMIR Medical Informatics|May 4, 2026
Large Language Model Automated Extraction of Clinical Signs and Symptoms From Emergency Department Reports for Machine Learning Prediction Models: Development and Validation StudyAnoeska Schipper, Peter Belgers, Rory David O'Connor, et al.
Annals of Emergency Medicine|September 10, 2023
ChatGPT and Generating a Differential Diagnosis Early in an Emergency Department PresentationHidde Ten Berg, Bram van Bakel, Lieke van de Wouw, et al.
Clinical Chemistry|June 21, 2024
Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count DataAnoeska Schipper, Matthieu Rutten, Adriaan van Gammeren, et al.
Clinical Chemistry and Laboratory Medicine|October 11, 2024
Inconsistency in ferritin reference intervals across laboratories: a major concern for clinical decision makingSteef Kurstjens, Andrea D van Dam, Ellis Oortwijn, et al.
Pageof 1