Self-Service Data Science for Adverse Event Prediction in Electronic Healthcare Records

M. Spruit, N. de Vries

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Original language	English
Title of host publication	Research & Innovation Forum 2020
Subtitle of host publication	Disruptive Technologies in Times of Change
Editors	A. Visvizi, M. Lytras, N. Aljohani
Publisher	Springer
ISBN (Electronic)	978-3-030-62066-0
ISBN (Print)	978-3-030-62065-3
DOIs	https://doi.org/10.1007/978-3-030-62066-0
Publication status	Published - 2020

Access to Document

@inproceedings{af5519bd607145b58f5ae87751c0ed0c,

title = "Self-Service Data Science for Adverse Event Prediction in Electronic Healthcare Records",

author = "M. Spruit and Vries, {N. de}",

year = "2020",

doi = "10.1007/978-3-030-62066-0",

language = "English",

isbn = "978-3-030-62065-3",

editor = "A. Visvizi and M. Lytras and N. Aljohani",

booktitle = "Research & Innovation Forum 2020",

publisher = "Springer",

address = "Germany",

}

Self-Service Data Science for Adverse Event Prediction in Electronic Healthcare Records. / Spruit, M.; Vries, N. de.
Research & Innovation Forum 2020: Disruptive Technologies in Times of Change. ed. / A. Visvizi; M. Lytras; N. Aljohani. Springer, 2020.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Self-Service Data Science for Adverse Event Prediction in Electronic Healthcare Records

AU - Spruit, M.

AU - Vries, N. de

PY - 2020

Y1 - 2020

U2 - 10.1007/978-3-030-62066-0

DO - 10.1007/978-3-030-62066-0

M3 - Conference contribution

SN - 978-3-030-62065-3

BT - Research & Innovation Forum 2020

A2 - Visvizi, A.

A2 - Lytras, M.

A2 - Aljohani, N.

PB - Springer

ER -