Exploring optimal granularity for extractive summarization of unstructured health records: Analysis of the largest multi-institutional archive of health records in Japan
Automated summarization of clinical texts can reduce the burden of medical professionals. “Discharge summaries” are one promising application of the summarization, because they can be generated from daily inpatient records. Our preliminary experiment suggests that 20–31% of the descriptions in disch...
| Главные авторы: | , , , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Public Library of Science (PLoS)
2022-09-01
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| Серии: | PLOS Digital Health |
| Online-ссылка: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931252/?tool=EBI |