Using an artificial intelligence tool incorporating natural language processing to identify patients with a diagnosis of ANCA-associated vasculitis in electronic health records
Published in Comput Biol Med, 2024
Because anti-neutrophil cytoplasmatic antibody (ANCA)-associated vasculitis (AAV) is a rare, life-threatening, auto-immune disease, conducting research is difficult but essential. A long-lasting challenge is to identify rare AAV patients within the electronic-health-record (EHR)-system to facilitate real-world research. Artificial intelligence (AI)-search tools using natural language processing (NLP) for text-mining are increasingly postulated as a solution.
Recommended citation: van Leeuwen JR, Penne EL, Rabelink T, Knevel R, Teng YKO. (2024) "Using an artificial intelligence tool incorporating natural language processing to identify patients with a diagnosis of ANCA-associated vasculitis in electronic health records" Comput Biol Med. 2024 Jan;168:107757. doi: 10.1016/j.compbiomed.2023.107757. Epub 2023 Nov 25.
Recommended citation: van Leeuwen JR, Penne EL, Rabelink T, Knevel R, Teng YKO. (2024) "Using an artificial intelligence tool incorporating natural language processing to identify patients with a diagnosis of ANCA-associated vasculitis in electronic health records" Comput Biol Med. 2024 Jan;168:107757. doi: 10.1016/j.compbiomed.2023.107757. Epub 2023 Nov 25.
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