This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (1604) Consumer & Patient Education and Shared-Decision Making (530) Human Factors and Usability Case Studies (532) Breast Cancer (153)

Published on in Vol 2 , No 2 (2018) :Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9935, first published .
The iPrevent Online Breast Cancer Risk Assessment and Risk Management Tool: Usability and Acceptability Testing

The iPrevent Online Breast Cancer Risk Assessment and Risk Management Tool: Usability and Acceptability Testing

The iPrevent Online Breast Cancer Risk Assessment and Risk Management Tool: Usability and Acceptability Testing

Authors of this article:

Louisa L Lo 1 Author Orcid Image ;   Ian M Collins 2 Author Orcid Image ;   Mathias Bressel 3 Author Orcid Image ;   Phyllis Butow 4 Author Orcid Image ;   Jon Emery 5, 6 Author Orcid Image ;   Louise Keogh 7 Author Orcid Image ;   Prue Weideman 1, 8 Author Orcid Image ;   Emma Steel 7 Author Orcid Image ;   John L Hopper 8 Author Orcid Image ;   Alison H Trainer 9, 10 Author Orcid Image ;   Gregory B Mann 11 Author Orcid Image ;   Adrian Bickerstaffe 8 Author Orcid Image ;   Antonis C Antoniou 12 Author Orcid Image ;   Jack Cuzick 13 Author Orcid Image ;   Kelly-Anne Phillips 1, 8, 9 Author Orcid Image
Article Authors Cited by (10) Tweetations (1) Metrics

Journals

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  2. Phillips K, Liao Y, Milne R, MacInnis R, Collins I, Buchsbaum R, Weideman P, Bickerstaffe A, Nesci S, Chung W, Southey M, Knight J, Whittemore A, Dite G, Goldgar D, Giles G, Glendon G, Cuzick J, Antoniou A, Andrulis I, John E, Daly M, Buys S, Hopper J, Terry M. Accuracy of Risk Estimates from the iPrevent Breast Cancer Risk Assessment and Management Tool. JNCI Cancer Spectrum 2019;3(4) View
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  6. Bellhouse S, Hawkes R, Howell S, Gorman L, French D. Breast Cancer Risk Assessment and Primary Prevention Advice in Primary Care: A Systematic Review of Provider Attitudes and Routine Behaviours. Cancers 2021;13(16):4150 View
  7. Ganggayah M, Dhillon S, Islam T, Kalhor F, Chiang T, Kalafi E, Taib N. An Artificial Intelligence-Enabled Pipeline for Medical Domain: Malaysian Breast Cancer Survivorship Cohort as a Case Study. Diagnostics 2021;11(8):1492 View
  8. Xu X, Ge Z, Chow E, Yu Z, Lee D, Wu J, Ong J, Fairley C, Zhang L. A Machine-Learning-Based Risk-Prediction Tool for HIV and Sexually Transmitted Infections Acquisition over the Next 12 Months. Journal of Clinical Medicine 2022;11(7):1818 View
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  10. Attieh S, Monarque M, Durand A, Ahmed S, Knoppers B, Simard J, Loiselle C. Perceptions and Usability of PREVENTION: A Breast Cancer Risk Assessment e-Platform. Journal of Personalized Medicine 2023;13(5):850 View