Type of source code : API, Website, Database System, Bots
Goals and context : The Heart Problem Prediction Chatbot (HPPC) is designed to engage users in a conversational
interface, collecting data on their medical history, lifestyle habits, and other relevant factors.
The chatbot uses NLP techniques to interpret user inputs and machine learning algorithms to
analyze the data and calculate the user's CVD risk score.
The HPPC provides users with personalized recommendations and guidance for preventive
measures based on their risk score and other factors. The chatbot also encourages users to
consult with healthcare professionals for further evaluation and treatment if necessary.
Keywords: Heart disease, cardiovascular disease (CVD), Risk assessment, Artificial
intelligence (AI), Natural language processing (NLP), Conversational interface, Machine
learning, Personalized recommendations, Preventive measures, Healthcare professionals,
Early detection.
Usage : The HPPC provides users with personalized recommendations and guidance for preventive
measures based on their risk score and other factors. The chatbot also encourages users to
consult with healthcare professionals for further evaluation and treatment if necessary.
Desired features : User Interface, Administrator website, Push Notifications system, Reports, Real Time Updates, Analytics, AI, Video Options
Features Details : The heart problem prediction chatbot aims to assess users' risk of cardiovascular issues by
collecting pertinent data such as medical history, lifestyle factors, and symptoms,
employing a predictive model trained on comprehensive datasets. Through an intuitive
interface, the chatbot engages users in interactive conversations, offering personalized risk
assessments based on machine learning algorithms. It ensures privacy and security
compliance while facilitating seamless integration with healthcare providers for further
evaluation or referral when necessary. Continuous improvement mechanisms are in place
to update the model and enhance accuracy over time, with the ultimate goal of promoting
early detection, encouraging healthy behaviours, and improving cardiovascular health
outcomes for users
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