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Cross-Regional Data Initiative for the Assessment and Development of Treatment for Neurological and Mental Disorders.

Daniel Hsiang-Te TsaiJ Simon BellShahab AbtahiBrenda N BaakMarloes T BazelierRuth BrauerAdrienne Y L ChanEsther W ChanHaoqian ChenCeline S L ChuiSharon CookStephen CrystalPoonam GandhiSirpa HartikainenFrederick K HoShao-Ti HsuJenni S IlomakiJu Hwan KimOlaf H KlungelMarjaana KoponenWallis C Y LauKui Kai LauTerry Y S LumHao LuoKenneth K C ManJill P PellSoko SetoguchiShih-Chieh ShaoChin-Yao ShenJu Young ShinPatrick C SouvereinAnna-Maija TolppanenLi WeiIan C K WongEdward Chia-Cheng Lai
Published in: Clinical epidemiology (2023)
The 15 databases showed good potential for a federated network approach using a common data model. Our study provided publicly accessible information on these databases for those seeking to employ real-world data to facilitate current assessment and future development of treatments for neurological and mental disorders.
Keyphrases
  • big data
  • electronic health record
  • machine learning
  • healthcare
  • quality improvement
  • risk assessment
  • cerebral ischemia
  • social media
  • brain injury
  • deep learning
  • subarachnoid hemorrhage
  • replacement therapy