Predicting dementia diagnosis from cognitive footprints in electronic health records: a case-control study protocol.
Hao LuoKui Kai LauGloria Hoi-Yan WongWai-Chi ChanHenry K F MakQingpeng ZhangMartin KnappIan C K WongPublished in: BMJ open (2020)
This study was approved by Institutional Review Board of The University of Hong Kong/Hospital Authority Hong Kong West Cluster (UW 18-225). Patients' records are anonymised to protect privacy. Study results will be disseminated through peer-reviewed publications. Codes of the resulted dementia risk prediction algorithm will be made publicly available at the website of the Tools to Inform Policy: Chinese Communities' Action in Response to Dementia project (https://www.tip-card.hku.hk/).
Keyphrases
- mild cognitive impairment
- electronic health record
- study protocol
- cognitive impairment
- healthcare
- end stage renal disease
- randomized controlled trial
- case control
- chronic kidney disease
- clinical trial
- newly diagnosed
- public health
- machine learning
- emergency department
- prognostic factors
- adverse drug
- deep learning
- big data
- clinical decision support
- double blind
- high glucose