Artificial Intelligence for Classification of the Electrocardiogram

Mathias Buus Lanng; Johannes Jan Struijk; Claus Graff

Artificial Intelligence for Classification of the Electrocardiogram

Mathias Buus Lanng, Johannes Jan Struijk, Claus Graff

Publikation: Konferencebidrag uden forlag/tidsskrift › Poster › Formidling

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Abstract

Aim: Make a classification algorithm based on NN that are more flexible to change in diagnoses, can seamlessly use new ECGs as they become available and better be used in other populations than what is trained on.

Originalsprog	Engelsk
Publikationsdato	2019
Antal sider	1
Status	Udgivet - 2019
Begivenhed	Kick-off: AI for the people - Rendsburggade 14, Aalborg, Danmark Varighed: 19 nov. 2019 → 19 nov. 2019

Andet

Andet	Kick-off: AI for the people
Lokation	Rendsburggade 14
Land/Område	Danmark
By	Aalborg
Periode	19/11/2019 → 19/11/2019

Emneord

Kunstig Intelligens
ECG

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Citationsformater

@conference{cbb33bf828b64f008225986a9134f319,

title = "Artificial Intelligence for Classification of the Electrocardiogram",

abstract = "Aim: Make a classification algorithm based on NN that are more flexible to change in diagnoses, can seamlessly use new ECGs as they become available and better be used in other populations than what is trained on.",

keywords = "Artificial Intelligence, ECG, Kunstig Intelligens, ECG",

author = "Lanng, {Mathias Buus} and Struijk, {Johannes Jan} and Claus Graff",

year = "2019",

language = "English",

note = "Kick-off: AI for the people ; Conference date: 19-11-2019 Through 19-11-2019",

}

TY - CONF

T1 - Artificial Intelligence for Classification of the Electrocardiogram

AU - Lanng, Mathias Buus

AU - Struijk, Johannes Jan

AU - Graff, Claus

PY - 2019

Y1 - 2019

N2 - Aim: Make a classification algorithm based on NN that are more flexible to change in diagnoses, can seamlessly use new ECGs as they become available and better be used in other populations than what is trained on.

AB - Aim: Make a classification algorithm based on NN that are more flexible to change in diagnoses, can seamlessly use new ECGs as they become available and better be used in other populations than what is trained on.

KW - Artificial Intelligence

KW - ECG

KW - Kunstig Intelligens

KW - ECG

M3 - Poster

T2 - Kick-off: AI for the people

Y2 - 19 November 2019 through 19 November 2019

ER -

Artificial Intelligence for Classification of the Electrocardiogram

Abstract

Andet

Emneord

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AUB Link

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Citationsformater