Work

Pulmonary response prediction through personalized basis functions in a virtual patient model

Year: 2023

Type: article

Source: Computer Methods and Programs in Biomedicine

DOI: 10.1016/j.cmpb.2023.107988

Authors: Trudy Caljé-van der Klei, Qianhui Sun, J. Geoffrey Chase, Cong Zhou, Merryn H. Tawhai, Jennifer L. Knopp, Knut Möller, Serge J. Heines, Dennis C. Bergmans, Geoffrey M. Shaw

Institutions: University of Canterbury, University of Liège, University of Auckland, Furtwangen University, Maastricht University, Christchurch Hospital

Language: English

Topic: Respiratory Support and Mechanisms

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Tertiary Education Commission, University of Canterbury, MedTech CoRE, National Natural Science Foundation of China, Horizon 2020 Framework Programme

Awards: G1458148361, G6302882021, G7088522496, G8025678231, G8367957132

OpenAlex ID: W4389942310

FWCI: 1.947

Cites: 80

Cited by: 11

Related to: 10