Machine learning-based prediction of fainting during blood donations using donor properties and weather data as features

Susanne Suessner; Norbert Niklas; Ulrich Bodenhofer; Jens Meier

doi:10.1186/s12911-022-01971-x

Machine learning-based prediction of fainting during blood donations using donor properties and weather data as features

Susanne Suessner
, Norbert Niklas
, Ulrich Bodenhofer
, Jens Meier

Department of Anaesthesiology and Operative Intensive Care Medicine

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	222
Pages (from-to)	222
Number of pages	1
Journal	BMC Medical Informatics and Decision Making
Volume	22
Issue number	1
DOIs	https://doi.org/10.1186/s12911-022-01971-x
Publication status	Published - 20 Aug 2022

Fields of science

303 Health Sciences
304 Medical Biotechnology
305 Other Human Medicine, Health Sciences
301 Medical-Theoretical Sciences, Pharmacy
302 Clinical Medicine

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10.1186/s12911-022-01971-x

Cite this

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title = "Machine learning-based prediction of fainting during blood donations using donor properties and weather data as features",

author = "Susanne Suessner and Norbert Niklas and Ulrich Bodenhofer and Jens Meier",

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doi = "10.1186/s12911-022-01971-x",

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T1 - Machine learning-based prediction of fainting during blood donations using donor properties and weather data as features

AU - Suessner, Susanne

AU - Niklas, Norbert

AU - Bodenhofer, Ulrich

AU - Meier, Jens

PY - 2022/8/20

Y1 - 2022/8/20

UR - https://pubmed.ncbi.nlm.nih.gov/35987636/

UR - https://www.scopus.com/pages/publications/85136949829

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DO - 10.1186/s12911-022-01971-x

M3 - Article

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JO - BMC Medical Informatics and Decision Making

JF - BMC Medical Informatics and Decision Making

IS - 1

M1 - 222

ER -

Machine learning-based prediction of fainting during blood donations using donor properties and weather data as features

Fields of science

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Cite this