Predictive modeling and severity scoring after cardiac arrest in patients treated with targeted temperature management

Jesper Johnsson

Predictive modeling and severity scoring after cardiac arrest in patients treated with targeted temperature management

Jesper Johnsson

Kliniska Vetenskaper, Helsingborg

Forskningsoutput: Avhandling › Doktorsavhandling (sammanläggning)

443 Nedladdningar (Pure)

Originalspråk	engelska
Kvalifikation	Doktor
Tilldelande institution	Institutionen för kliniska vetenskaper, Lund
Handledare	Nielsen, Niklas, handledare Annborn, Martin, Biträdande handledare Frigyesi, Attila, Biträdande handledare Walther, Sten, Biträdande handledare, Extern person
Tilldelningsdatum	2021 maj 7
Utgivningsort	Lund
Förlag	Lund University, Faculty of Medicine
ISBN (tryckt)	978-91-8021-039-3
Status	Published - 2021

Bibliografisk information

Defence details
Date: 2021-05-07
Time: 09:00
Place: Lokal Hav 1, vån 2, Clarion Hotel & Congress Sea U i Helsingborg. Join by Zoom: https://lu-se.zoom.us/j/64962090052
External reviewer(s)
Name: Djärv, Therese
Title: docent
Affiliation: Karolinska Institutet, Stockholm

Ämnesklassifikation (UKÄ)

Anestesi och intensivvård

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Jesper Johnsson_avhandl utan papersPublicerad version, 16,5 MB

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Abstract

3 Artikel i vetenskaplig tidskrift
1 Letter

Hazards of adjustment in studies on temperature interventions
Johnsson, J., Dankiewicz, J., Walther, S. & Nielsen, N., 2021, I: Resuscitation. 160, s. 140-141 2 s.
Forskningsoutput: Tidskriftsbidrag › Letter › Peer review

Öppen tillgång
Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm
Andersson, P., Johnsson, J., Björnsson, O., Cronberg, T., Hassager, C., Zetterberg, H., Stammet, P., Undén, J., Kjaergaard, J., Friberg, H., Blennow, K., Lilja, G., Wise, M. P., Dankiewicz, J., Nielsen, N. & Frigyesi, A., 2021, I: Critical Care. 25, 1, 83.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

Öppen tillgång
Functional outcomes associated with varying levels of targeted temperature management after out-of-hospital cardiac arrest — An INTCAR2 registry analysis
Johnsson, J., Wahlström, J., Dankiewicz, J., Annborn, M., Agarwal, S., Dupont, A., Forsberg, S., Friberg, H., Hand, R., Hirsch, K. G., May, T., McPherson, J. A., Mooney, M. R., Patel, N., Riker, R. R., Stammet, P., Søreide, E., Seder, D. B. & Nielsen, N., 2020 jan. 1, I: Resuscitation. 146, s. 229-236 8 s.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

Öppen tillgång

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@phdthesis{686c855335f24e448f3d33c212eb2d87,

title = "Predictive modeling and severity scoring after cardiac arrest in patients treated with targeted temperature management",

keywords = "cardiac arrest, out-of-hospital cardiac arrest, functional outcome, targeted temperature management, TTM, machine learning, artificial neural network, Cerebral performance category, prediction, prognostication, ICU, SAPS 3",

author = "Jesper Johnsson",

note = "Defence details Date: 2021-05-07 Time: 09:00 Place: Lokal Hav 1, v{\aa}n 2, Clarion Hotel & Congress Sea U i Helsingborg. Join by Zoom: https://lu-se.zoom.us/j/64962090052 External reviewer(s) Name: Dj{\"a}rv, Therese Title: docent Affiliation: Karolinska Institutet, Stockholm",

year = "2021",

language = "English",

isbn = "978-91-8021-039-3",

series = "Lund University, Faculty of Medicine Doctoral Dissertation Series",

publisher = "Lund University, Faculty of Medicine",

number = "2021:33",

type = "Doctoral Thesis (compilation)",

school = "Department of Clinical Sciences, Lund",

}

TY - THES

T1 - Predictive modeling and severity scoring after cardiac arrest in patients treated with targeted temperature management

AU - Johnsson, Jesper

N1 - Defence details Date: 2021-05-07 Time: 09:00 Place: Lokal Hav 1, vån 2, Clarion Hotel & Congress Sea U i Helsingborg. Join by Zoom: https://lu-se.zoom.us/j/64962090052 External reviewer(s) Name: Djärv, Therese Title: docent Affiliation: Karolinska Institutet, Stockholm

PY - 2021

Y1 - 2021

KW - cardiac arrest

KW - out-of-hospital cardiac arrest

KW - functional outcome

KW - targeted temperature management

KW - TTM

KW - machine learning

KW - artificial neural network

KW - Cerebral performance category

KW - prediction

KW - prognostication

KW - ICU

KW - SAPS 3

M3 - Doctoral Thesis (compilation)

SN - 978-91-8021-039-3

T3 - Lund University, Faculty of Medicine Doctoral Dissertation Series

PB - Lund University, Faculty of Medicine

CY - Lund

ER -

Predictive modeling and severity scoring after cardiac arrest in patients treated with targeted temperature management

Bibliografisk information

Ämnesklassifikation (UKÄ)

Tillgång till dokument

Andra filer och länkar

Forskningsoutput

Hazards of adjustment in studies on temperature interventions

Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm

Functional outcomes associated with varying levels of targeted temperature management after out-of-hospital cardiac arrest — An INTCAR2 registry analysis

Citera det här