Jesper Johnsson
1 – 5 of 5
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=""
width=""
height=""
allowtransparency="true"
frameborder="0">
</iframe>
- 2021
-
Mark
Predictive modeling and severity scoring after cardiac arrest in patients treated with targeted temperature management
(2021) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
-
Mark
Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm
Andersson, Peder LU
; Johnsson, Jesper
LU
; Björnsson, Ola
LU
; Cronberg, Tobias
LU
; Hassager, Christian
; Zetterberg, Henrik
LU
; Stammet, Pascal
; Undén, Johan
LU
; Kjaergaard, Jesper
and Friberg, Hans
LU
, et al.
(2021)
In Critical Care
25(1).
- Contribution to journal › Article
-
Mark
Hazards of adjustment in studies on temperature interventions
Johnsson, Jesper LU ; Dankiewicz, Josef LU
; Walther, Sten
and Nielsen, Niklas
LU
(2021)
In Resuscitation
160.
p.140-141
- Contribution to journal › Letter
- 2020
-
Mark
Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care
Johnsson, Jesper LU ; Björnsson, Ola LU
; Andersson, Peder
LU
; Jakobsson, Andreas
LU
; Cronberg, Tobias
LU
; Lilja, Gisela
LU
; Friberg, Hans
LU
; Hassager, Christian
; Kjaergard, Jesper
and Wise, Matt
, et al.
(2020)
In Critical Care
24(1).
- Contribution to journal › Article
-
Mark
Functional outcomes associated with varying levels of targeted temperature management after out-of-hospital cardiac arrest — An INTCAR2 registry analysis
Johnsson, Jesper LU ; Wahlström, Josefine ; Dankiewicz, Josef LU
; Annborn, Martin
LU
; Agarwal, Sachin
; Dupont, Allison
; Forsberg, Sune
; Friberg, Hans
LU
; Hand, Robert
and Hirsch, Karen G.
, et al.
(2020)
In Resuscitation
146.
p.229-236
- Contribution to journal › Article