A Smart Chatbot Architecture based NLP and Machine Learning for Health Care Assistance

Soufyane, Ayanouz; Abdelhakim, Boudhir Anouar; Benhmed, Mohammed

doi:10.1145/3386723.3387897

Cited by 89 publications

(35 citation statements)

References 2 publications

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“…For similar reasons as in the field of education, most HealthCare oriented chatbots are Information Retrieval based. [4,96], provide different examples of chatbots applications in HealthCare.…”

Section: Applications Of Chatbotsmentioning

confidence: 99%

A Literature Survey of Recent Advances in Chatbots

Caldarini¹,

Jaf²,

McGarry³

2021

Preprint

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Chatbots are intelligent conversational computer systems designed to mimic human conversation to enable automated online guidance and support. The increased benefits of chatbots led to their wide adoption by many industries in order to provide virtual assistance to customers. Chatbots utilise methods and algorithms from two Artificial Intelligence domains: Natural Language Processing and Machine Learning. However, there are many challenges and limitations in their application. In this survey we review recent advances on chatbots, where Artificial Intelligence and Natural Language processing are used. We highlight the main challenges and limitations of current work and make recommendations for future research investigation

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Section: Applications Of Chatbotsmentioning

confidence: 99%

A Literature Survey of Recent Advances in Chatbots

Caldarini¹,

Jaf²,

McGarry³

2021

Preprint

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“…Penggunaan teknologi kecerdasan buatan telah menjadikan chatbot lebih maju, termasuk memproses bahasa alami dan pembelajaran mesin sehingga memberikan hasil yang akurat saat berinteraksi dengan bot [12]. Chatbot yang dikembangkan menggunakan natural language processing agar sistem dapat untuk memahami query pengguna dalam bentuk bahasa natural [13].…”

Section: Pendahuluanunclassified

Identifikasi Chatbot dalam Meningkatkan Pelayanan Online Menggunakan Metode Natural Language Processing

Muliyono

Sumijan²

2021

INFEB

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Chatbot is a software with artificial intelligence that can imitate human conversations through text messages or voice messages. This chatbot can convey information, according to the knowledge that has been given previously. Helping the limitations of the academic section in answering questions posed by students. The method in this study was sourced from a questionnaire distributed to students at the Muhammadiyah University of West Sumatra. Based on the analysis of the questionnaire, there are 40 questions that are often asked by students to the academic section. Then it is processed using Natural Language Processing (NLP). Natural Language Processing is a branch of science from artificial intelligence that is able to study communication between humans and computers through natural language. The processing stage is to identify the intent, process the input and display the results according to the input. The results of the test using a questionnaire addressed to 227 students got a score of 3,55 with a very good predicate. Then do the test using 40 question and answer data. So, obtained 37 appropriate answers and 3 answers that are not in accordance with the percentage of answer accuracy generated from the chatbot is 92.5 percent. The results of this test have been able to respond to the questions asked by students. This chatbot can make it easier for students to get information with a very good level of accuracy

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“…The classification of the NLP models identifying and co-relating to the advanced dialog methodology will be suitable at a faster and easy pace which will in return bring the best results [9]. Suitable recommendation as per the plans to be introduced will not be clashed so that the visibility and transparency of the information required will be stabilized with the use of the required recommendations only when required [10].…”

Section: Fig3 Total Messages Coverage-trendmentioning

confidence: 99%

A Diabetic Diet Suggester and Appointment Scheduler Chatbot using Artificial Intelligence and Cloud

Kolanu¹,

Dutta²,

Roy³

et al. 2021

IRJASH

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Conversational Artificial Intelligence has gained a lot of traction due to its ability to communicate with the user and the machine with automated texting and dialog flow based applications that allow computers and humans to communicate in a human-like manner. Hence leveraging this technology, it is able to help guide diabetic patients when they are suffering from diabetes or just to self assess and to make things easier for the people which will allow them to learn and follow a healthy diabetic diet. The usage of Conversational AI-bot will Identify and give answers and analyzes the queries asked that is available based on the text trained. It also allows us to automate book and assist the receptionist to book appointments without any errors This makes things easier and enabling a faster appointment service and this bot helps people to be cautious and lead a healthy life.

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A Smart Chatbot Architecture based NLP and Machine Learning for Health Care Assistance

Cited by 89 publications

References 2 publications

A Literature Survey of Recent Advances in Chatbots

A Literature Survey of Recent Advances in Chatbots

Identifikasi Chatbot dalam Meningkatkan Pelayanan Online Menggunakan Metode Natural Language Processing

A Diabetic Diet Suggester and Appointment Scheduler Chatbot using Artificial Intelligence and Cloud

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