BMC Medical Informatics and Decision Making | Informatics and machine learning methods for health applications (part two)
Informatics and machine learning methods for health applications (part two)
Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. Supplement Editors were not involved in the peer review of any article that they co-authored. The Supplement Editors declare that they have no other competing interests.
Edited by Li Shen, Xinghua Mindy Shi, Zhongming Zhao and Kai Wang.
Sepsis is a highly lethal and heterogeneous disease. Utilization of an unsupervised method may identify novel clinical phenotypes that lead to targeted therapies and improved care.
Authors: Menghan Ding and Yuan Luo