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Body weight measurements support machine-learning algorithms in neonatal sepsis prediction
Stålhammar, Alexander Mildalen
Karolinska Inst, Stockholm, Sweden.;Karolinska Univ Hosp, Astrid Lindgren Childrens Hosp, Stockholm, Sweden..
Adolphson, Katja
Karolinska Inst, Stockholm, Sweden.;Karolinska Univ Hosp, Astrid Lindgren Childrens Hosp, Stockholm, Sweden..
Honoré, Antoine
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering. Karolinska Inst, Stockholm, Sweden.;Karolinska Univ Hosp, Astrid Lindgren Childrens Hosp, Stockholm, Sweden.
ORCID iD:
0000-0003-0166-1356
Forsberg, David
Karolinska Inst, Stockholm, Sweden.;Karolinska Univ Hosp, Astrid Lindgren Childrens Hosp, Stockholm, Sweden..
Herlenius, Eric
Karolinska Inst, Stockholm, Sweden.;Karolinska Univ Hosp, Astrid Lindgren Childrens Hosp, Stockholm, Sweden..
Jost, Kerstin
Karolinska Inst, Stockholm, Sweden.;Karolinska Univ Hosp, Astrid Lindgren Childrens Hosp, Stockholm, Sweden..
Show others and affiliations
2021 (English)
In:
Pediatric Research, ISSN 0031-3998, E-ISSN 1530-0447, Vol. 90, no SUPPL 1, p. 22-22
Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
Springer Nature , 2021. Vol. 90, no SUPPL 1, p. 22-22
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:kth:diva-305381
ISI:
000714026300069
OAI: oai:DiVA.org:kth-305381
DiVA, id:
diva2:1616566
Note
QC 20211203
Available from:
2021-12-03
Created:
2021-12-03
Last updated:
2022-06-25
Bibliographically approved
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