Review on Early Heart Disease Prediction Chatbot using Machine Learning Algorithms

Year : 2024 | Volume :01 | Issue : 02 | Page : 26-33
By

Tahir Naquash

Pheba Jorson

Ruqsana Khanum

Ruth Hepzibah

S. Niveditha

  1. Assistant Professor Department of Computer Science Engineering HKBK College of Engineering Karnataka India
  2. Student Department of Computer Science Engineering HKBK College of Engineering Karnataka India
  3. Student Department of Computer Science Engineering HKBK College of Engineering Karnataka India
  4. Student Department of Computer Science Engineering HKBK College of Engineering Karnataka India
  5. Student Department of Computer Science Engineering HKBK College of Engineering Karnataka India

Abstract

A chatbot that is developed for the detection of Heart Disease plays an important role in the medical field as it provides the accessible and immediate preliminary assessments. It conducts the screening of individuals efficiently for present or potential heart issues. It also identifies the risk factors associated with the particular condition, contributing to a comprehensive health awareness. Other than delivering early warnings it also offers online monitoring and emergency assistance creating a proactive approach to heart health. Integration with health records enables continuous data collection and ensures per- sonalized care. By using these advanced features the chatbot becomes a tool for the management, prevention, patient education enhancement, improvement of public health and the reduction of healthcare costs by detecting the disease early and helping in intervention. These benefits make it an indispensable asset in the battle against Heart Diseases. The chatbot becomes a versatile tool in the healthcare industry by leveraging advanced functionalities. Supporting public health initiatives and reducing healthcare costs, it improves patient education, promotes prevention, and helps with management. Its capacity to identify illnesses at an early stage and enable interventions makes it crucial in the fight against heart disorders. By means of prompt detection, it facilitates preemptive actions, which may prevent serious consequences.

Keywords: Chatbot, Heart Disease, Dialogflow, Ngrok, Sup- port Vector Machine Algorithm.

[This article belongs to Emerging Trends in Personalized Medicines(etpm)]

How to cite this article: Tahir Naquash, Pheba Jorson, Ruqsana Khanum, Ruth Hepzibah, S. Niveditha. Review on Early Heart Disease Prediction Chatbot using Machine Learning Algorithms. Emerging Trends in Personalized Medicines. 2024; 01(02):26-33.
How to cite this URL: Tahir Naquash, Pheba Jorson, Ruqsana Khanum, Ruth Hepzibah, S. Niveditha. Review on Early Heart Disease Prediction Chatbot using Machine Learning Algorithms. Emerging Trends in Personalized Medicines. 2024; 01(02):26-33. Available from: https://journals.stmjournals.com/etpm/article=2024/view=136054


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Regular Issue Subscription Review Article
Volume 01
Issue 02
Received March 20, 2024
Accepted March 25, 2024
Published Mar 29, 2024