Healthcare Proctoring System Using Chatbot Based on Machine Learning
1Prof. Vivek Pandey, 2Pradnya Kamble. 3Saikumar Bhubarpa, 4Dhananjay Shitkar and 5Swapnil Gole
1 Head of Department, Department of Information Technology, Alamuri Ratnamala Institute of Engineering and Technology, Shahpur.
2, 3, 4, 5 Student, Department of Information Technology, Alamuri Ratnamala Institute of Engineering and Technology, Shahpur.
Abstract
This presentation describes the implementation of a healthcare portal which will include features like interoperability, symptom-based disease prediction with the help of a chatbot and remote patient health proctoring services.[1] As it is common knowledge, health and medicine are gaining a lot of significance in today’s advancing world, where evolving technology is being used to combat almost all the known diseases.[2]
Technology is constantly developing everywhere for every new ailment that us humans come across. We have new counter-measures ready for these diseases.[3] However, according to reports, more than 200 thousand people in China, 100 thousand in the USA, and nearly 70 thousand people in India die each year due to medication errors. Technologies such as data mining and other recommended technologies provide possibilities to explore potential knowledge from diagnosis history records and help doctors to diagnose the disease and prescribe medicines correctly to decrease medication error effectively.[4] This project proposes a system which will aim to negate any miscommunication between the medical professional and patient by acting as a medium which will be accessible by both entities with every record of the patient available for the professionals.[5] This system consists of a database system module, data preparation module, disease prediction module, medicine recommendation module, model evaluation and API which will be used for a centralized database for the patient’s data.[6] A decision tree map and random forest algorithm are used to achieve the objective.
This paper also mentions the additional features of the proposed system like the dual function of prediction of diseases and the recommendation of medicines, which adds to the capabilities of the existing systems, and has a portal through which a patient can have appointments, get reports for every medical check-up which will be virtually available.
The patient’s data will be globally available for both medical professionals as well as the patient to see.[7] The proposed system will be designed in such a way that every user’s data will be regularly updated in case it is being monitored by other attending medical professionals.[8]
Keywords
healthcare portal, recommendation system, chatbot, data mining, centralized database
