Anomaly Detection in Lymphoma Patients

Here's a quick description for each of the files/folders in this main branch:

File Name - Description

800px-DBSCAN-density-data.png - A photo that Illustrates DBSCAN function

software.py - The software we built for the nedical staff

Anomaly Detection in Lymphoma Patients - Exploration & Modelling.ipynb - The notebook in which we investigated the data and developed our algorithms

Decision_support_system_DT_for_doctors.png - Decision tree to determine if the patients has extranodal sites

feature_transformer.pkl - A pickle file that stores the parameters of the train data for the feature transformer

finalized_RF_model.sav - A file that stores the Random Forest algorithm

main.py - The file with the code for our transformer algorithms

minmaxScalerX.pkl - A pickle file that stores the parmeters of the min&max values of the

prognostics_dev.csv - The dataset

Anomaly Detection in Lymphoma Patients - Tamar & Lin (1).pptx - The presentation we showed in class

Project Report - Tamar & Lin (1).pdf Project Report (Hebrew)