Interpretable machine learning prediction of all-cause mortality

HIGHLIGHTS

• who: Wei Qiu from the GAllen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. , Microsoft Research, Redmond, WA, USA. have published the article: Interpretable machine learning prediction of all-cause mortality, in the Journal: (JOURNAL) of December/31,/2015
• what: The authors propose the IMPACT framework that uses XAI technique to explain a state-ofthe-art tree ensemble mortality prediction model. The authors show that IMPACT models achieve higher accuracy than linear models and neural networks. The authors develop highly accurate efficient and interpretable mortality risk scores that can be used . . .
  

   

  

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