The repository contains the solution for the iAtros AI & Backend Engineer challenge.

The solution contains two parts.

1. First a prototyping notebook for function testing and explaining reasoning process.
2. A cli tool that queries for a patient and predicts it mesurments returning an alert summary.

The notebook (iatros_challenge.ipynb) contains the step by step implementation of the solution incluiding:

1. Implementation of requests between HAPI-fhir server and app

2. Pagination handeling

3. Filling the Dataframe

4. Running the main query

5. Preprocess and clead the Dataframe

6. Binary classification

   • Model setup
   • Model definition

7. Running the model

8. Prediction test on a row of dataframe

1. conda env create -f environment.yml
2. Activate the environment: conda activate iatros
3. Verify the environment was installed correctly: conda env list

In main working directory from terminal run pip install fhirclient --no-index --find-links client-py-4.0.0.zip

1. pip install -r requirements.txt

From terminal:

• Args:
  • observ: Code for observation defaul to 85354-9 LOINC code
    'Blood pressure panel with all children optional'
  • subject: Subject code in HAPI-FHIR test server
  • path to pretained model, default to models/hypertension_model

python app.py --observ 85354-9 --subject 1598464 --model ./models/hypertension_model.pkl