The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project.
Erjiang ETingyan WangLan YangMary DempseyAttracta BrennanMing YuWing P ChanBryan WhelanCarmel SilkeMiriam O'SullivanBridie RooneyAoife McPartlandGráinne O'MalleyJohn J CareyPublished in: BMJ open (2020)
The Irish DXA HIP Project plans to assess current diagnostic classification and risk prediction algorithms for osteoporosis and fractures, identify the risk predictors for osteoporosis and develop novel, accurate and personalised risk prediction tools, by using the large multicentre longitudinal follow-up cohort. Furthermore, the dataset may be used to assess, and possibly support, multimorbidity management due to the large number of variables collected in this project.
Keyphrases
- dual energy
- bone mineral density
- postmenopausal women
- quality improvement
- computed tomography
- machine learning
- image quality
- deep learning
- general practice
- public health
- healthcare
- contrast enhanced
- cross sectional
- total hip arthroplasty
- body composition
- mental health
- clinical trial
- study protocol
- randomized controlled trial
- health insurance
- electronic health record
- magnetic resonance
- artificial intelligence
- primary care
- social media
- double blind