Data-Mining Techniques to Evaluate User Engagement of a Self-Help Website for Early Breast Cancer Survivors in Real-World Implementation

Judith Prins, Sanne van den Berg, Kaz Roomer, Maurtis Henneke, Marie Postma

Research output: Contribution to journalMeeting AbstractOther research output

Original languageEnglish
Pages (from-to)S86-S86
Number of pages1
JournalInternational Journal of Behavioral Medicine
Volume25
Publication statusPublished - Oct 2018

Cite this

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title = "Data-Mining Techniques to Evaluate User Engagement of a Self-Help Website for Early Breast Cancer Survivors in Real-World Implementation",
author = "Judith Prins and {van den Berg}, Sanne and Kaz Roomer and Maurtis Henneke and Marie Postma",
year = "2018",
month = "10",
language = "English",
volume = "25",
pages = "S86--S86",
journal = "International Journal of Behavioral Medicine",
issn = "1070-5503",
publisher = "Springer",

}

Data-Mining Techniques to Evaluate User Engagement of a Self-Help Website for Early Breast Cancer Survivors in Real-World Implementation. / Prins, Judith; van den Berg, Sanne; Roomer, Kaz; Henneke, Maurtis; Postma, Marie.

In: International Journal of Behavioral Medicine, Vol. 25, 10.2018, p. S86-S86.

Research output: Contribution to journalMeeting AbstractOther research output

TY - JOUR

T1 - Data-Mining Techniques to Evaluate User Engagement of a Self-Help Website for Early Breast Cancer Survivors in Real-World Implementation

AU - Prins, Judith

AU - van den Berg, Sanne

AU - Roomer, Kaz

AU - Henneke, Maurtis

AU - Postma, Marie

PY - 2018/10

Y1 - 2018/10

M3 - Meeting Abstract

VL - 25

SP - S86-S86

JO - International Journal of Behavioral Medicine

JF - International Journal of Behavioral Medicine

SN - 1070-5503

ER -