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Urinary tract infection (UTI) is common in home care but not easily captured with standard assessment. This study aimed to examine the value of nursing notes in detecting UTI signs and symptoms in home care. The study developed a natural language processing (NLP) algorithm to automatically identify UTI-related information in nursing notes. Home care visit notes (n= 1,149,586) and care coordination notes (n=1,461,171) for 89,459 patients treated in the largest nonprofit home care agency in the United States during2014. We generated 6 ca