International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 12 | Dec 2022
p-ISSN: 2395-0072
www.irjet.net
Virtual Expert -Disease Prediction Using Machine Learning Prof Ashish.G.Nandre1 Sandip Institute of Engineering and Management Savitribai Phule Pune University Nashik, Maharashtra, India
Jayashree Patil3
Sayama Pathan5
Sandip Institute of Engineering and Management Savitribai Phule Pune University Nashik, Maharashtra, India
Sandip Institute of Engineering and Management Savitribai Phule Pune University Nashik, Maharashtra, India
Prabodh Narkhede2
Yadnika Wagh4
Sandip Institute of Engineering Sandip Institute of Engineering and Management and Management Savitribai Phule Pune University Savitribai Phule Pune University Nashik, Maharashtra, India Nashik, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------which can result in safe, secure, dependable, and accurate Abstract - In addition to patient registration and data systems that can save a specific individual from dying.
storage in the system, this project's Virtual Expert illness prediction helper for the Medicare system also features automated lab and pharmacy billing. The programme has the ability to assign a unique ID to each patient and records each patient's clinical information as well as results of automatically performed hospital tests. It has a search function so you can find out each patient's current status. Using the id, users may search a patient's information. With the use of a login and password, one may access the Virtual Expert prediction assistance for the Medicare system. The information is simple to get. The user experience is excellent. Data processing is quick since the data are adequately safeguarded for personal use.
1.1 AIM The aim is to provide as it is not intended for a particular organization. This project is going to develop a generic web application, which can be applied by any health organization or government in future. Moreover, it provides facilities to its citizens. Also, the web application is going to provide a huge amount of summary data. 1.2 OBJECTIVE The main objective of this project is basically targeted to provide health related services to remote places and provide better health care and improve national health. Citizens can be instantly examined using this system which will be available to doctors, sevika, NGO, screeners, also it will provide proper diagnosis, maintain medical records and will be easily available to all.
Key Words: Predict, SVM, Naïve bayes, CBR, NGO etc. 1. INTRODUCTION The Critical Patient Care or Monitoring System of today allows a clinician to continually monitor many patients for several parameters at once from a distant location while simultaneously controlling medication dose. These systems would make it much easier to develop and assess the ICU decision-support systems. Virtual Expert Prediction is an online application that offers a whole healthcare system and a dynamic user interface, allowing users to enter all the patient's vital signs using a variety of predefined alternatives. Additionally, this programme is created specifically to meet the user's demand to conduct health examinations efficiently and effectively. In the realm of medical science, this application may be utilised to minimise human mistake to the greatest extent feasible. The user doesn't require any special training to utilise this system. This alone demonstrates that it is user-friendly. As previously said, the Virtual Expert Prediction Web Application can anticipate the early stages of disease,
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2. LITERATURE SURVEY A healthcare system that is renowned for offering complete digital medical services. India is a developing and expanding nation, but its medical infrastructure hasn't kept pace. resulting in inadequate access to medical institutions in rural areas, outmoded treatment methods, and sluggish feedback. When a patient relocates or sees a different doctor, it is crucial to keep track of their medical history and treatment plan. Careless behaviour toward the aforementioned points by a patient or a medical practitioner may be deadly. As a result, the Current System offers less flexibility. [1] Support Vector Machine (SVM), KNN, CART, and Naive Bayes machine learning algorithms were utilised by Anusha Bharat et al. in their 2018 study for breast cancer
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