Coder Social home page Coder Social logo

fanimasturina / expert-system-certainty-factor-k-nearest-neighbor-dental-desease Goto Github PK

View Code? Open in Web Editor NEW
10.0 1.0 2.0 17.05 MB

My Thesis Project, Application of Dental Disease Diagnosis Using the Certainty Factor Method and a combination of the CF - KNN (Certainty Factor + K Nearest Neighbor) method. This project implements an expert system with forward chaining. Mostly use python to process data and results. Website using jinja and bootstrap (adminLTE.io)

HTML 23.49% Python 0.19% JavaScript 73.73% CSS 2.59%
certainty-factor dental expert-system knn-classification

expert-system-certainty-factor-k-nearest-neighbor-dental-desease's Introduction

EXPERT SYSTEM DESIGN FOR DIAGNOSIS OF DENTAL DISEASES USING THE K-NEAREST NEIGHBOR AND CERTAINTY FACTOR METHODS

I build an expert system design that applies a combination of Certainty Factor and K-Nearest Neighbor methods in solving problems of diagnosing dental diseases (especially for teledentistry). The expert system is website-based (using Jinja 3.0 and Bootstrap AdminLTE.io) and uses MySQL. The application provides an accuracy of 80% in the Certainty factor-only method using result validation and the combined accuracy of the Certainty Factor - K Nearest Neighbor method of 90% using Cross Validation (to see the calculation of 90% accuracy: https://github.com/fanimasturina/CF-KNN-Accuracy-Using-Jupyter-Notebook). The dataset is used on combination methods to serves the neighbor classification, the detail of dataset is consist of 100 patients medical records (name, certainty value of symptomps, and diagnosis).

How to run the app on local: https://github.com/fanimasturina/Expert-System-Certainty-Factor-K-Nearest-Neighbor-Dental-Desease/blob/main/HowToRunOnLocal.md

The preview of an app:

  1. Homepage

image

  1. Disease Info Page

image

  1. Symptoms Info Page

image

  1. Patients Medical Record Page

image

  1. Knowledge Base Page

image

  1. Choosing Symptoms Page

image image

  1. Patient Complaints Page

image

  1. Diagnosis Results using Certainty Factor method only

image image

  1. Diagnosis Results using combination of Certainty Factor & K Nearest Neighbor methods

image image

To read more about the projects:

expert-system-certainty-factor-k-nearest-neighbor-dental-desease's People

Contributors

fanimasturina avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.