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NATURAL LANGUAGE PROCESSING

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NATURAL LANGUAGE PROCESSING. Natural Language Processing in the Healthcare Sector The Healthcare sector is getting used to Natural Language Processing, a subclass of Artificial Intelligence (AI). Its introduction has transformed how hospitals manage the huge database from thousands and millions of patients' information across the globe. However, there are still some challenges that exist in the area of NLP in the Health sector. For example, the NLP function in the healthcare sector encounters major obstacles while processing data since they are overwhelmed because the records in clinical data contain millions of records. Most of them are text-free, which puts pressure on the system and may cause difficulties and damage while retrieving the required information. (Yuvaraj, 2021). The other setback is that the tool cannot process physicians' and patients' text and change them into diagnostic codes and, to some extent, give an opinion on the necessary treatment. In some cases, NLP discloses patients' private information to irrelevant people, which is one of the worst scenarios because health records and information between the doctor and patient must only remain between the two.

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