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All Outputs (6)

Supervised Bayesian statistical learning to identify prognostic risk factor patterns from population data (2020)
Book Chapter
Crooks, C. J. (2020). Supervised Bayesian statistical learning to identify prognostic risk factor patterns from population data. In L. B. Pape-Haugaard, C. Lovis, I. Cort Madsen, P. Weber, P. Hostrup Nielsen, & P. Scott (Eds.), Digital personalized health and medicine: Proceedings of MIE 2020 (422-426). IOS Press. https://doi.org/10.3233/SHTI200195

Current methods for building risk models assume averaged uniform effects across populations. They use weighted sums of individual risk factors from regression models with only a few interactions, such as age. This does not allow risk factor effects t... Read More about Supervised Bayesian statistical learning to identify prognostic risk factor patterns from population data.

Magnetic resonance elastography (2018)
Book Chapter
McGrath, D. M. Magnetic resonance elastography. In A. Al Mayah (Ed.), Biomechanics of soft tissues: principles and applications. CRC Press

Magnetic resonance elastography (MRE) is a recently developed technology that uses MRI to measure the biomechanical properties of biological tissue, such as elasticity and viscosity. Due to its sensitivity to pathology-driven alterations in tissue bi... Read More about Magnetic resonance elastography.

Hearing aid validation (2016)
Book Chapter
Whitmer, W. M., Wright-Whyte, K. F., Holman, J. A., & Akeroyd, M. A. (2016). Hearing aid validation. In G. R. Popelka, B. C. Moore, R. R. Fay, & A. N. Popper (Eds.), Hearing aids. Springer Science+Business Media

Validation provides quality assurance that a hearing aid wearer’s needs are being met—that the solution meets not only their technical requirements (i.e., verification) but also their requirements for everyday communication. In the past 50 years, the... Read More about Hearing aid validation.

Symptoms into words: how medical patients talk about fatigue (2015)
Book Chapter
Standen, P., Ward, C. D., Saunders, L., & Beer, C. (2015). Symptoms into words: how medical patients talk about fatigue. In C. D. Ward (Ed.), Meanings of ME: interpersonal and social dimensions of chronic fatigue (67-85). Palgrave Macmillan. https://doi.org/10.1057/9781137467324_7

Fatigue, which is the central symptom of CFS/ME, is notoriously difficult to define. We describe an investigation in which we raise two questions. First, does the way people use fatigue-related language reflect distinctive patterns? Second, is there... Read More about Symptoms into words: how medical patients talk about fatigue.

Mobile Learning and Games in Special Education (2014)
Book Chapter
Standen, P., & Brown, . D. (2014). Mobile Learning and Games in Special Education. In F. Lani (Ed.), The SAGE handbook of special education (719-730). London: SAGE Publications Ltd. https://doi.org/10.4135/9781446282236.n44

Information technology is now a ubiquitous presence in all educational settings as well as places in which people work. While most mainstream schools now rely heavily on this technology to support learning, special education was often at the forefron... Read More about Mobile Learning and Games in Special Education.