Text Messaging-Based Medical Diagnosis Using Natural Language Processing and Fuzzy Logic
المؤلفون المشاركون
Misra, Sanjay
Omoregbe, Nicholas A. I.
Ndaman, Israel O.
Abayomi-Alli, Olusola O.
Damaševičius, Robertas
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-29
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
The use of natural language processing (NLP) methods and their application to developing conversational systems for health diagnosis increases patients’ access to medical knowledge.
In this study, a chatbot service was developed for the Covenant University Doctor (CUDoctor) telehealth system based on fuzzy logic rules and fuzzy inference.
The service focuses on assessing the symptoms of tropical diseases in Nigeria.
Telegram Bot Application Programming Interface (API) was used to create the interconnection between the chatbot and the system, while Twilio API was used for interconnectivity between the system and a short messaging service (SMS) subscriber.
The service uses the knowledge base consisting of known facts on diseases and symptoms acquired from medical ontologies.
A fuzzy support vector machine (SVM) is used to effectively predict the disease based on the symptoms inputted.
The inputs of the users are recognized by NLP and are forwarded to the CUDoctor for decision support.
Finally, a notification message displaying the end of the diagnosis process is sent to the user.
The result is a medical diagnosis system which provides a personalized diagnosis utilizing self-input from users to effectively diagnose diseases.
The usability of the developed system was evaluated using the system usability scale (SUS), yielding a mean SUS score of 80.4, which indicates the overall positive evaluation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Omoregbe, Nicholas A. I.& Ndaman, Israel O.& Misra, Sanjay& Abayomi-Alli, Olusola O.& Damaševičius, Robertas. 2020. Text Messaging-Based Medical Diagnosis Using Natural Language Processing and Fuzzy Logic. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1186516
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Omoregbe, Nicholas A. I.…[et al.]. Text Messaging-Based Medical Diagnosis Using Natural Language Processing and Fuzzy Logic. Journal of Healthcare Engineering No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1186516
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Omoregbe, Nicholas A. I.& Ndaman, Israel O.& Misra, Sanjay& Abayomi-Alli, Olusola O.& Damaševičius, Robertas. Text Messaging-Based Medical Diagnosis Using Natural Language Processing and Fuzzy Logic. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1186516
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1186516
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر