portableNLP

1. require

   • numpy
   • pandas

2. run classification

• python text_stat.py
• the generated result file is in the folder results/

3. run position annotation

• python annotate.py
• generated result file is in the folder featurepos/

4. citation

Sharma, H., Mao, C., Zhang, Y., Vatani, H., Yao, L., Zhong, Y., Rasmussen, L., Jiang, G., Pathak, J. and Luo, Y., 2019. Developing a portable natural language processing based phenotyping system. BMC medical informatics and decision making, 19(3), p.78.

@article{sharma2019developing,
  title={Developing a portable natural language processing based phenotyping system},
  author={Sharma, Himanshu and Mao, Chengsheng and Zhang, Yizhen and Vatani, Haleh and Yao, Liang and Zhong, Yizhen and Rasmussen, Luke and Jiang, Guoqian and Pathak, Jyotishman and Luo, Yuan},
  journal={BMC medical informatics and decision making},
  volume={19},
  number={3},
  pages={78},
  year={2019},
  publisher={BioMed Central}
}