Ronél Koch, Christa Beyers
Teaching comprehensive sexuality education using a praxis co-created with adolescents
African journal of primary health care & family medicine
observational studies using electronic health record ehr databases often face challenges due unspecific clinical codes obscure detailed medical information hindering precise data analysis study aimed assess feasibility refining unspecific condition codes specific codes dutch general practitioner gp ehr database leveraging available clinical free text utilized three approaches text classificationsearch queries semisupervised learning supervised learningto improve specificity ten unspecific international classification primary care icpc1 codes two text representations three machine learning algorithms evaluated semisupervised models additionally measured improvement achieved refinement process code occurrences database classification models performed well codes general single classification approach consistently outperformed others however variations relative performance classification approaches within code use different text representations machine learning algorithms class imbalance limited training data affected performance semisupervised models yet simple search queries remained particularly effective ultimately developed models improved specificity half unspecific code occurrences database findings show feasibility using information clinical text improve specificity unspecific condition codes observational healthcare databases even limited range machinelearning techniques modest annotated training sets future work could investigate transfer learning integration structured data alternative semisupervised methods validation models across healthcare settings improved level detail enriches interpretation medical information benefit observational research patient care