HCSL Research
HCSL research focuses on uncertainty evaluation and reduction in complex systems; these notes provide concise conceptual background for its principal research topics.
Statistical Quality Control Design and Optimization
Statistical quality control evaluates whether an analytical process conforms to predefined quality specifications. The note discusses optimization approaches, including bioinspired methods such as genetic algorithms and neural networks.
Research Note: Quality Control Design and Optimization
Reliability and Risk Based Quality Control
Risk based optimization of statistical quality control treats analytical performance as a probabilistic assessment problem involving reliability, risk, and measurement uncertainty.
Research Note: Reliability and Risk Based Quality Control
Medical Diagnosis
Medical diagnosis may be threshold-based, assessed through diagnostic accuracy measures, or supported by empirical or formal Bayesian methods.
Research Note: Medical Diagnosis
Uncertainty of Diagnostic Measures
Estimation and evaluation of uncertainty in diagnostic measures are central to medical diagnosis and to the definition of analytical performance specifications.