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

Research output: Contribution to journal › Meeting Abstract › Other research output

Original language	English
Pages (from-to)	S86-S86
Number of pages	1
Journal	International Journal of Behavioral Medicine
Volume	25
Publication status	Published - Oct 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{cb68505f02e5464085436ce1d75cc4ab,

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 = oct,

language = "English",

volume = "25",

pages = "S86--S86",

journal = "International Journal of Behavioral Medicine",

issn = "1070-5503",

publisher = "Routledge",

}

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

SN - 1070-5503

VL - 25

SP - S86-S86

JO - International Journal of Behavioral Medicine

JF - International Journal of Behavioral Medicine

ER -