Therapy Recommadation Systems for Patients

  • University of Trento
  • Data Mining Prof.Velegrakis
  • Ali Akay [224414]
  • MSc. Artificial Intelligence Systems

Project Detail

Project contains three part;

  • Data extraction-preparation
  • Data Preprocessing
  • Recommadation Systems Model

Please check the code in notebooks and run the code using instruction below.

You can find the result of the test dataset named "test_results.txt"

There are two dataset folder.

  • Extracted Dataset: It is used in order to create dataset in json format after scrapping
  • Dataset: It is given by professor.
  • Dataset/datamining_data.csv: It is generated in order to use for the model which is converted from json to dataframe.

Requirements

Please install the libraries.If you already have this libraries you can skip this part.

  • sklearn
  • scipy
  • json
  • numpy
  • pandas
  • argparse

Generate Recommadation

  • You can generate the recommadation for the test dataset given by professor and it will save a test_results.txt.
$ python3 main.py
  • You can also generate recommadation for indivudial patients for conditions by changing the parameters.
$ python3 get_recommedation.py --patient 0 --condition "Cond240"