Résumé:
Infront of the explosion of data that has experienced the world in recent years.
All domaines have been invaded by "Big Data" and have found themselves faced
with his challeneges. The medical domaine was no exception and found itself facing
the greatest challenge, which is the “Missing Data”.
Missing data poses a big problem, their treatment in the medical domaine is dangerous because people’s lives depended on it. The purpose of this work is to show
the importance of analytical methods in the treatment of missing data in the medical
field. All the interest is to recover these missing data or predict them.
The result of the combination of analytical methods applied on a Dataset allowed
us to underline the importance of these methods in the treatment of missing data.
