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Importance of disease markers for predicting length of hosp..:

Mario Recker ; Wim A. Fleischmann ; Trinh Huu Nghia...
https://figshare.com/articles/figure/Importance_of_disease_markers_for_predicting_length_of_hospitalisation_stay_/25114034. , 2024

Link: https://doi.org/10.1371/journal.pntd.0011922.g005

RT Journal
T1 <Title>Importance of disease markers for predicting length of hospitalisation stay</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonianinsp:oai:figshare.com:article_25114034&Exemplar=1&LAN=DE
				
A1 Mario Recker
A1 Wim A. Fleischmann
A1 Trinh Huu Nghia
A1 Nguyen Van Truong
A1 Le Van Nam
A1 Do Duc Anh
A1 Le Huu Song
A1 Nguyen Trong The
A1 Chu Xuan Anh
A1 Nguyen Viet Hoang
A1 Nhat My Truong
A1 Nguyen Linh Toan
A1 Peter G. Kremsner
A1 Thirumalaisamy P. Velavan
YR 2024
K1 Medicine
K1 Microbiology
K1 Neuroscience
K1 Biotechnology
K1 Developmental Biology
K1 Cancer
K1 Infectious Diseases
K1 Virology
K1 showed marked inter
K1 patients get hospitalised
K1 local health systems
K1 adequate supportive care
K1 1500 individuals hospitalised
K1 evaluate robust predictors
K1 assigned severity score
K1 dengue every year
K1 whereby early admission
K1 symptom duration prior
K1 xlink "> dengue
K1 xlink ">
K1 symptom duration
K1 significant predictors
K1 disease severity
K1 whilst mortality
K1 support required
K1 study demonstrates
K1 retrospective analysis
K1 rare event
K1 prolonged stays
K1 potential biomarkers
K1 lymphocyte ratio
K1 large number
K1 hospital stays
K1 hospital correlates
K1 heavy burden
K1 healthcare planning
K1 found predictive
K1 elevated neutrophil
K1 critical importance
K1 common diseases
K1 clinical data
K1 broad panel
K1 better understanding
K1 annual variations
K1 analyses revealed
JF https://figshare.com/articles/figure/Importance_of_disease_markers_for_predicting_length_of_hospitalisation_stay_/25114034
LK http://dx.doi.org/https://doi.org/10.1371/journal.pntd.0011922.g005
DO https://doi.org/10.1371/journal.pntd.0011922.g005
SF ELIB - SuUB Bremen

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