Exploring the Relationship Between Dietary Intake and Clinical Outcomes in Peritoneal Dialysis Patients

Data processing and statistics

• install the env named esrd to run the python code

conda create -n esrd python=3.7.13
conda activate esrd
pip install -r requirement.txt

• process the raw data

bash data_processing.sh

• merge the data

data_merge.ipynb

• perform statistical and basic hypothesis tests on data

data_statistic.ipynb

Two-stage Model for Mortality Risk Evaluation and Modeling Non-Linear Nutrient-Risk Correlations

• install the env named for esrd_r to tun the R code.

conda env create -f environment.yml

• run the two-stage model and get the results.

model_run.ipynb

• formate the results

result_format.ipynb (use the environment "esrd")

Folders

project_folder/  # Main project folder
├── esrd/         # Data
│   ├── origin/      # Stores original data
│   ├── processed/   # Stores processed data
│   ├── result/      # Stores some data statistical graphs
│   └── src/         # Stores data processing code
└── result/       # Stores statistical results
    └── statistics_r/   # Statistical results using R
        └── res/        # Result folder
            └── time    # Final runtime result