Our inspiration is the high number of inadequate and incorrect medical treatments in out health care system.

Created in a teams of 3 for the RUHackathon an application that takes as input medical messurements and predicts whether the person has a disease like heart diseases, diabetes and liver diseases. The user can access throught the command line the account and they can select which disease they want to be tested. There is a complex process to handle the data. Also, there is like an admin/doctor that can see the results and register the patient. There is functionality to handle the login.

To predict the disease, machine learning and simple Python logic was used to produce this project. For the machine learning model, RandomForestClassifier was used on 80/20 startegy on data This work was then integrated with a login.py file that deals with taking the inputs, calling the algorithms mentioned previously and producing the outputs. There is also a functionality to login, to logout and to use the application (enter input and have access to previous inputs/history) by using a sqlite database.

We add some problems to connect the login page with the treatments algorithms.

We managed in a short amount of time to produce something that has potential.

We learned how to apply in a short amount of time a machine learning algorithm with a lot of difficult features.

Improve the patient and doctor experience. Add more diagnoses for other treatments. Connect the database with the treatment algorithms. Built With

machine-learning
python
sqlite