Machine learning in amyotrophic lateral sclerosis: achievements, pitfalls, and future directions

HIGHLIGHTS

• who: Vincent Grollemund from the Laboratoire d'Informatique de, Sorbonne University, France, FRS Consulting, France, Laboratoire have published the Article: Machine Learning in Amyotrophic Lateral Sclerosis: Achievements, Pitfalls, and Future Directions, in the Journal: (JOURNAL)
• what: The specific method should be carefully chosen based on the characteristics of the available data and the overall study objective. The advantage of the model is that limited training is required: all of the training data is kept in memory and is used during the prediction phase. The majority of ML research projects focus on the development, optimization, and . . .
  

   

  

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