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Clinical Chemistry Tests

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Clinical chemistry in higher dimensions: Machine-learning and enhanced prediction from routine clinical chemistry data.

Clinical biochemistry
Big Data is having an impact on many areas of research, not the least of which is biomedical science. In this review paper, big data and machine learning are defined in terms accessible to the clinical chemistry community. Seven myths associated with...

Using Machine Learning to Aid the Interpretation of Urine Steroid Profiles.

Clinical chemistry
BACKGROUND: Urine steroid profiles are used in clinical practice for the diagnosis and monitoring of disorders of steroidogenesis and adrenal pathologies. Machine learning (ML) algorithms are powerful computational tools used extensively for the reco...

Combined strategy of knowledge-based rule selection and historical data percentile-based range determination to improve an autoverification system for clinical chemistry test results.

Journal of clinical laboratory analysis
BACKGROUND: Current autoverification, which is only knowledge-based, has low efficiency. Regular historical data analysis may improve autoverification range determination. We attempted to enhance autoverification by selecting autoverification rules b...