yinchangchang/DII-Challenge

Python

DII-Challenge-2019

The early identification of sepsis cases.

build the env

	pip install -r requirement.txt

data preprocessing

creat result folder for data preprocessing results
```
mkdir result
mkdir data
mkdir data/models
```

generate json files

cd preprocessing
python gen_master_feature.py --master-file ../file/master.csv
python gen_feature_time.py --vital-file ../file/vital.csv				# only for task1
python gen_vital_feature.py --vital-file ../file/vital.csv
python gen_label_feature.py --label-file ../file/label.csv

train and validate the model, the best model will saved in ../data/models/

	python main.py --task case1		# for task1 case1
	python main.py --task task1		# for task1 case2
	python main.py --task task2		# for task2

You can also run the code by:

	python run.py --label-file ../file/label.csv --vital-file ../file/vital.csv --master-file  ../master.csv --task case1