Deep learning methods to predict amyotrophic lateral sclerosis disease progression

HIGHLIGHTS

• who: Corrado Pancotti from the DepartmentUniversity of have published the paper: Deep learning methods to predict amyotrophic lateral sclerosis disease progression, in the Journal: Scientific Reports Scientific Reports of December/10,/2021
• what: As in the challenge, the authors aimed to predict the progression from the fourth to the twelfth month, using data from the first 3 months. The models have a slightly lower error than RF and BART, but a slightly lower correlation than BART.
• how: In par- ticular the authors compared two FFNN models using the top 5 features one trained . . .
  

   

  

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