Publications

Affichage de 1101 à 1110 sur 5386


  • Chapitre d'ouvrage

Using Machine Learning Models to Predict the Length of Stay in a Hospital Setting

Rachda Naila Mekhaldi, Patrice Caulier, Sondès Chaabane, Abdelahad Chraibi, Sylvain Piechowiak

Proper prediction of Length Of Stay (LOS) has become increasingly important these years. The LOS prediction provides better services, managing hospital resources and controls their costs. In this paper, we implemented and compared two Machine Learning (ML) methods, the Random Forest (RF) and the…

Trends and Innovations in Information Systems and Technologies, 1159, Springer International Publishing, pp.202-211, 2020, Advances in Intelligent Systems and Computing, 978-3-030-45688-7. ⟨10.1007/978-3-030-45688-7_21⟩. ⟨hal-03696678⟩

  • Communication dans un congrès

Using Machine Learning Models to Predict the Length of Stay in a Hospital Setting

Rachda Naila Mekhaldi, Patrice Caulier, Sondès Chaabane, Abdelahad Chraibi, Sylvain Piechowiak

Proper prediction of Length Of Stay (LOS) has become increasingly important these years. The LOS prediction provides better services, managing hospital resources and controls their costs. In this paper , we compared two Machine Learning (ML) methods on the Microsoft available dataset. This data are…

8th World Conference on Information Systems and Technologies (WorldCIST’2020), Apr 2020, Budva, Montenegro. pp.202-211, ⟨10.1007/978-3-030-45688-7_21⟩. ⟨hal-03381824⟩

  • Poster de conférence

A comparative study between compressive sensing and conventional speech conding methods

Abdelkader Boukhobza, Messaoud Hettiri, Abdelmalik Taleb-Ahmed, Abdennacer Bounoua

Speech coding is an essential procedure in public switched telephone system (PSTN), digital cellular communications, videoconferencing systems, and emerging voice over Internet applications. Compressed sensing is an original signal processing tool for efficiently acquiring and reconstructing a…

1st International Conference on Communications, Control Systems and Signal Processing (CCSSP 2020), May 2020, EL OUED, Algeria. IEEE, pp.215-218, ⟨10.1109/CCSSP49278.2020.9151756⟩. ⟨hal-03572719⟩

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