Machine learning based E-diagnostic System
First of all, all data set will be fatched by System. After that, System will generate patterns on the basis of data set. System will diagnose the disease on the basis of patterns. State of the art machine learning models will going to be used on desired data set in order to improve the acc
Project Title
Machine learning based E-diagnostic System
Project Area of Specialization
Project Summary
First of all, all data set will be fatched by System. After that, System will generate patterns on the basis of data set. System will diagnose the disease on the basis of patterns. State of the art machine learning models will going to be used on desired data set in order to improve the
accuracy and for better way of detection of desease. Real time dataset will be collected from the hospitals and accuracy will be computed. After that, Kappa statistics will be used for evaluation perspectives.
Project Objectives
To analyze some famous machine learned models.
Collection of real time datasets from the hospitals.
To find out which model will inhance the accuracy for better desease diagnosis.
Project Implementation Method
First of all, all data set will be fatched by System. After that, System will generate patterns on the basis of data set. System will diagnose the disease on the basis of patterns. State of the art machine learning models will going to be used on desired data set in order to improve the
accuracy and for better way of detection of desease. Real time dataset will be collected from the hospitals and accuracy will be computed. After that, Kappa statistics will be used for evaluation perspectives.
Benefits of the Project
Collection of real time datasets from the hospitals.
Analysis of best machine learned model.
Better and Accurate desease diagnosis
Technical Details of Final Deliverable
First of all, all data set will be fatched by System. After that, System will generate patterns on the basis of data set. System will diagnose the disease on the basis of patterns. State of the art machine learning models will going to be used on desired data set in order to improve the
accuracy and for better way of detection of desease. Real time dataset will be collected from the hospitals and accuracy will be computed. After that, Kappa statistics will be used for evaluation perspectives.
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Data collection | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 10000 |
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