A Modified Case-Based Reasoning Approach for Triaging Psychiatric Patients Using a Similarity Measure Derived from Orthogonal Vector Projection

摘要: A modified case-based reasoning method is introduced aimed to fulfill the need for a triage tool that differentiates likely psychiatric diagnoses and associated risk level. Clinical cases are represented as set of clinical features rated on numerical scale according level severity. One standard case used each diagnostic category, vector denoting expected severity feature. new another observed in patient assessed against cases. Measurement based orthogonal projection was clinically intuitive measurement similarity. Using thirty different test representing six categories, this measure alternative similarity measures consisting cosine Euclidean distance were evaluated. Results indicated superior other two methods differentiating predicting