Question 1
4 marks
Bioinformatics foundations and fuzzy logic characteristics
- Modelling and simulation
(a)
2 marks
- Define bioinformatics and identify representative research data:
- 1) Definition: Bioinformatics is the interdisciplinary field that develops and applies computational algorithms, database engineering, and statistical models to store, analyze, and interpret large volumes of biological and health data.
- 2) Representative data: Examples include genomic DNA and RNA nucleotide sequences, amino acid protein structures, gene expression microarrays, and longitudinal clinical trial patient metrics.
Mentor tip
Provide a clean two-part definition covering computer processing of biological datasets alongside concrete biological data types.
(b)
2 marks
- Outline a core feature of fuzzy logic suited to medical diagnosis:
- 1) Feature: Continuous truth-value evaluation across fuzzy sets, allowing variables to possess simultaneous degrees of membership in multiple linguistic states (e.g., partial membership in both 'normal' and 'elevated' blood glucose).
- 2) Clinical suitability: Real-world diagnostics deal with subjective clinical descriptions (such as 'moderate fatigue' or 'mild fever') and borderline laboratory results where crisp binary true/false classifications cause misdiagnoses.
Mentor tip
Highlight how fuzzy membership accommodates ambiguous clinical boundaries and partial symptoms.
