Predicting arterial parameters using Physics Informed Neural Networks for estimation of Hemodynamic Deterioration and related Complications in ICU patients

R.R.M. van Mierlo; Natal A.W. van Riel

Predicting arterial parameters using Physics Informed Neural Networks for estimation of Hemodynamic Deterioration and related Complications in ICU patients

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Original language	English
Pages	104
Number of pages	1
Publication status	Published - 20 Jun 2022
Event	8th Dutch Bioinformatics & Systems Biology Conference - Lunteren, Netherlands Duration: 28 Jun 2022 → 29 Jun 2022

Conference

Conference	8th Dutch Bioinformatics & Systems Biology Conference
Abbreviated title	BioSB(2022)
Country/Territory	Netherlands
City	Lunteren
Period	28/06/22 → 29/06/22

Access to Document

Abstractbook_BioSB2022Final published version, 32.4 MB

Cite this

@conference{ea91539b70cc4420a7bb92ecc63aabb4,

title = "Predicting arterial parameters using Physics Informed Neural Networks for estimation of Hemodynamic Deterioration and related Complications in ICU patients",

author = "\{van Mierlo\}, R.R.M. and \{van Riel\}, \{Natal A.W.\}",

year = "2022",

month = jun,

day = "20",

language = "English",

pages = "104",

note = "8th Dutch Bioinformatics \& Systems Biology Conference, BioSB(2022) ; Conference date: 28-06-2022 Through 29-06-2022",

}

TY - CONF

T1 - Predicting arterial parameters using Physics Informed Neural Networks for estimation of Hemodynamic Deterioration and related Complications in ICU patients

AU - van Mierlo, R.R.M.

AU - van Riel, Natal A.W.

PY - 2022/6/20

Y1 - 2022/6/20

M3 - Poster

SP - 104

T2 - 8th Dutch Bioinformatics & Systems Biology Conference

Y2 - 28 June 2022 through 29 June 2022

ER -

Predicting arterial parameters using Physics Informed Neural Networks for estimation of Hemodynamic Deterioration and related Complications in ICU patients

Conference

Access to Document

Other files and links

ACACIA: Advancing cardiac care through interpretable AI (TKI2112P08)

Cite this

Predicting arterial parameters using Physics Informed Neural Networks for estimation of Hemodynamic Deterioration and related Complications in ICU patients

Conference

Access to Document

Other files and links

Projects

ACACIA: Advancing cardiac care through interpretable AI (TKI2112P08)

Cite this