2019/07/03 by Adam Gabriel Dobrakowski, Agnieszka Mykowiecka, Dobrakowski, Adam Gabriel +7
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
paper · pdf · doi:10.48550/arxiv.1907.04152
openalex publication_date 2019/07/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Is it true that patients with similar conditions get similar diagnoses? In\nthis paper we show NLP methods and a unique corpus of documents to validate\nthis claim. We (1) introduce a method for representation of medical visits\nbased on free-text descriptions recorded by doctors, (2) introduce a new method\nfor clustering of patients' visits and (3) present an~application of the\nproposed method on a corpus of 100,000 visits. With the proposed method we\nobtained stable and separated segments of visits which were positively\nvalidated against final medical diagnoses. We show how the presented algorithm\nmay be used to aid doctors during their practice.\n