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The Journal of Applied Laboratory Medicine|January 7, 2023
Data-Driven Anomaly Detection in Laboratory Medicine: Past, Present, and FutureNicholas C Spies, Christopher W Farnsworth, Ronald Jackups
Clinical Chemistry|December 12, 2023
Automating the Detection of IV Fluid Contamination Using Unsupervised Machine LearningNicholas C Spies, Zita Hubler, Vahid Azimi, et al.
Drug and Alcohol Dependence|May 23, 2022
Use of laboratory data for illicit drug use surveillance and identification of socioeconomic risk factorsVahid Azimi, Ronald Jackups, Christopher W Farnsworth, et al.
Clinical Chemistry|September 10, 2024
Validating, Implementing, and Monitoring Machine Learning Solutions in the Clinical Laboratory Safely and EffectivelyNicholas C Spies, Christopher W Farnsworth, Sarah Wheeler, et al.
Clinical Chemistry and Laboratory Medicine|May 1, 2025
Pre-analytical phase errors constitute the vast majority of errors in clinical laboratory testingYanchun Lin, Nicholas C Spies, Kimberly Zohner, et al.
Hematology/Oncology Clinics of North America|August 31, 2019
Impact of Genotyping on Selection of Red Blood Cell Donors for TransfusionRonald Jackups
Clinical Chemistry|November 15, 2024
Prospective and External Validation of an Ensemble Learning Approach to Sensitively Detect Intravenous Fluid Contamination in Basic Metabolic PanelsNicholas C Spies, Leah Militello, Christopher W Farnsworth, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 31, 2010
Combinatorial analysis for sequence and spatial motif discovery in short sequence fragmentsRonald Jackups, Jie Liang
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|October 20, 2007
Combinatorial model for sequence and spatial motif discovery in short sequence fragments: examples from beta-barrel membrane proteinsRonald Jackups, Jie Liang
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