A Survey on Medical Document Summarization

December 03, 2022 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Survey on Medical Document Summarization"

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Authors Raghav Jain, Anubhav Jangra, Sriparna Saha, Adam Jatowt arXiv ID 2212.01669 Category cs.CL: Computation & Language Citations 24 Venue arXiv.org Last Checked 2 days ago
Abstract
The internet has had a dramatic effect on the healthcare industry, allowing documents to be saved, shared, and managed digitally. This has made it easier to locate and share important data, improving patient care and providing more opportunities for medical studies. As there is so much data accessible to doctors and patients alike, summarizing it has become increasingly necessary - this has been supported through the introduction of deep learning and transformer-based networks, which have boosted the sector significantly in recent years. This paper gives a comprehensive survey of the current techniques and trends in medical summarization
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