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DR EMO
Prediction and classification Techniques Applied to Medical patient Data
Teamwork
Under Supervision OF :
Dr/ Shereen Taie
Dr/ Alber Shawky
Eng/ Hager Mohamed
Eng/ Ghada Abduallah
Agenda
Agenda
Probem defintion
problem Definition
We aim to help people who suffer from anxiety about their health check themselves and if they need to see a doctor or not
Detect diseases in early stage to reduce infection based on data
problem
problem
The patient wastes his time and money on every examination
The doctor takes time to review the medical analyzes and establish the results
Most of the sites that are similar to us are complex to use and it is difficult for all people to use them
solving
solving
The patient can examine himself many times individually at any times to prevent the disease and discover it early without any cost and in the least time.
The doctor can increase his productivity in less time due to the speed and accuracy of producing results
The primary goal of each software is the user's satisfaction with the product, and that is why we created the website so that it is easy to use, fast, safe, and finally accurate.
machine learning model
AI
cancer model
cancer
original Data
Making data cleaning
cancer model trains the patient's medical data to predict whether he is sick or not, with an accuracy of 98%.
heart attack
heart attack
The Heart Attack model trains the patient's medical data to predict whether he is sick or not, with an accuracy of 96%
show
website
How website works
genral screen
The user (doctor or patient) only have to login or sign up if they don’t have an account
patient screens
after sign up
more detials
Dr screens
FRONT END
1
TOOLS
Traffic light (stop, slow, go)
2
BACK END
3
MACHINE LEARNING
fronted end
Hyper Text Markup Language (HTML)
Cascading Style Sheet (CSS)
Bootstrap
JavaScript
Back end
Python
Sqlite
Visual Studio
Flask
Machine learning
Python
Extreme Gradient Boosting (XGBoost)
Random Forest Classifier
Support Vector Machine
Scikit-Learn (SKLearn)
Anaconda (jupyter noteboo)
future work
1
chat Boot.
Leaderboard
2
speech recogition , text to speech.
3
collect data to predict diseases after 5 years.
Digram
ERD
Data schema
context level
DFD
Opinion
Thank you
any question