An Improvised Classification Model for Predicting Delirium

Sai Veeranki; Dieter Hayn; Stefanie Jauk; Franz Quehenberger; Diether Kramer; Werner Leodolter; Günter Schreier

An Improvised Classification Model for Predicting Delirium

Sai Veeranki (Speaker), Dieter Hayn, Stefanie Jauk, Franz Quehenberger, Diether Kramer, Werner Leodolter, Günter Schreier

Digital Health Information Systems

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Poster Presentation › peer-review

Original language	English
Title of host publication	MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL - Proceedings of the 17th World Congress on Medical and Health Informatics
Editors	Brigitte Séroussi, Lucila Ohno-Machado
Pages	1566-1567
Number of pages	2
Publication status	Published - 2019
Event	MEDINFO 2019: Health and Wellbeing e-Networks for All - Duration: 25 Aug 2019 → 30 Aug 2019

Conference

Conference	MEDINFO 2019: Health and Wellbeing e-Networks for All
Period	25/08/19 → 30/08/19

Research Field

Exploration of Digital Health

Cite this

@inbook{344927d827a74ce396cda6b8d7c093ad,

title = "An Improvised Classification Model for Predicting Delirium",

author = "Sai Veeranki and Dieter Hayn and Stefanie Jauk and Franz Quehenberger and Diether Kramer and Werner Leodolter and G{\"u}nter Schreier",

year = "2019",

language = "English",

isbn = "978-1-64368-002-6",

pages = "1566--1567",

editor = "Brigitte S{\'e}roussi and Lucila Ohno-Machado",

booktitle = "MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL - Proceedings of the 17th World Congress on Medical and Health Informatics",

note = "MEDINFO 2019: Health and Wellbeing e-Networks for All ; Conference date: 25-08-2019 Through 30-08-2019",

}

Veeranki, S, Hayn, D, Jauk, S, Quehenberger, F, Kramer, D, Leodolter, W & Schreier, G 2019, An Improvised Classification Model for Predicting Delirium. in B Séroussi & L Ohno-Machado (eds), MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL - Proceedings of the 17th World Congress on Medical and Health Informatics. pp. 1566-1567, MEDINFO 2019: Health and Wellbeing e-Networks for All, 25/08/19.

An Improvised Classification Model for Predicting Delirium. / Veeranki, Sai (Speaker); Hayn, Dieter; Jauk, Stefanie et al.
MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Séroussi; Lucila Ohno-Machado. 2019. p. 1566-1567.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Poster Presentation › peer-review

TY - CHAP

T1 - An Improvised Classification Model for Predicting Delirium

AU - Hayn, Dieter

AU - Jauk, Stefanie

AU - Quehenberger, Franz

AU - Kramer, Diether

AU - Leodolter, Werner

AU - Schreier, Günter

A2 - Veeranki, Sai

A2 - Séroussi, Brigitte

A2 - Ohno-Machado, Lucila

PY - 2019

Y1 - 2019

M3 - Conference Proceedings with Poster Presentation

SN - 978-1-64368-002-6

SP - 1566

EP - 1567

BT - MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL - Proceedings of the 17th World Congress on Medical and Health Informatics

T2 - MEDINFO 2019: Health and Wellbeing e-Networks for All

Y2 - 25 August 2019 through 30 August 2019

ER -