Predicting Hospital Readmission for Campylobacteriosis from Electronic Health Records: A Machine Learning and Text Mining Perspective.

(1) Background: This study investigates influential risk factors for predicting 30-day readmission to hospital for Campylobacter infections (CI). (2) Methods: We linked general practitioner and hospital admission records of 13,006 patients with CI in Wales (1990-2015). An approach called TF-zR (term frequency-zRelevance) technique was presented to evaluates how relevant a clinical term is to a patient in a cohort characterized by coded health records.

Beware the yellow slimming pill: fatal 2,4-dinitrophenol overdose.

An industrial chemical, 2,4-dinitrophenol (DNP), has found use as a weight loss drug. It is extremely toxic in overdose and has a narrow therapeutic window with significant interindividual variability in metabolism. The rise in internet-based sales and distribution of this drug has seen an increased incidence of both accidental and intentional overdose presenting to emergency departments across the UK.