Motor signs in Alzheimer's disease and vascular dementia: Detection through natural language processing, co-morbid features and relationship to adverse outcomes.

Al-Harrasi A. M., Iqbal E., Tsamakis K., Lasek J., Gadelrab R., Soysal P., ...Daha Fazla

Experimental gerontology, cilt.146, 2021 (SCI-Expanded, Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 146
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.exger.2020.111223
  • Dergi Adı: Experimental gerontology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Abstracts in Social Gerontology, BIOSIS, CAB Abstracts, EMBASE, MEDLINE, Veterinary Science Database
  • Anahtar Kelimeler: Dementia, Alzheimer's disease, Vascular dementia, Parkinsonism, Prevalence rate, Natural language processing, EXTRAPYRAMIDAL SIGNS, LEWY BODIES, MANAGEMENT, PREDICTORS, MORTALITY, PEOPLE, HEALTH, DEATH
  • Bezmiâlem Vakıf Üniversitesi Adresli: Evet

Özet

Background: Motor signs in patients with dementia are associated with a higher risk of cognitive decline, institutionalisation, death and increased health care costs, but prevalences differ between studies. The aims of this study were to employ a natural language processing pipeline to detect motor signs in a patient cohort in routine care; to explore which other difficulties occur co-morbid to motor signs; and whether these, as a group and individually, predict adverse outcomes.