Patient Subtyping via Time-Aware LSTM Networks

@inproceedings{Baytas2017PatientSV,
  title={Patient Subtyping via Time-Aware LSTM Networks},
  author={Inci M. Baytas and Cao Xiao and Xi Zhang and Feng Wang and Anil K. Jain and Jiayu Zhou},
  booktitle={KDD},
  year={2017}
}
In the study of various diseases, heterogeneity among patients usually leads to different progression patterns and may require different types of therapeutic intervention. Therefore, it is important to study patient subtyping, which is grouping of patients into disease characterizing subtypes. Subtyping from complex patient data is challenging because of the information heterogeneity and temporal dynamics. Long-Short Term Memory (LSTM) has been successfully used in many domains for processing… CONTINUE READING

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