Challenges in Diagnosing Community-Acquired Pneumonia

This chapter explores the difficulties faced in accurately diagnosing community-acquired pneumonia, particularly in emergency departments, using data from a VA dataset. It addresses the complexities of misdiagnoses and introduces natural language processing tools that provide insights from unstructured clinical data, highlighting the significant uncertainty in diagnoses even after reevaluation.