Applications Of Natural Language Processing In Healthcare Systems | ||||
| The International Undergraduate Research Conference | ||||
| Volume 5, Issue 5, 2021, Page 111-115 PDF (581.03 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iugrc.2021.245582 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Moustafa Abdelwahap1; Menatalla Elfarash1; Ahmed Eltanboly2 | ||||
| 1Biomedical Engineering program, Faculty of Engineering, Mansoura University, Egypt. | ||||
| 2Mansoura University, Egypt. | ||||
| Abstract | ||||
| The most sensitive sector in our life is health. The purpose of this research is to explore how Natural Language Processing (NLP) has a vital role in our Healthcare system in diagnosing diseases and facilitating routines as well as discussing the architecture of each application. NLP, which deals with text and speech has a lot of models like sentiment analysis, speech recognition, language modeling, etc. We have looked into the healthcare industry to discover the different products that have NLP - based models. A Medical Chatbot is used to diagnose patients in their early stages of the disease. Speech recognition is used to detect a doctor's voice and turns it into a digitized medical prescription. Other examples are being explained in this research besides discussing how the product is being implemented and then deployed. The goal of this research is to explain that Artificial Intelligence is helping us in our most need, which is health. | ||||
| Keywords | ||||
| Natural Language Processing; Healthcare Systems; Electronic Health Records (EHRs); Medical Chatbot; AI in Healthcare | ||||
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