Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models

Abstract Background Cox proportional hazards regression models and machine learning models are widely used for predicting the risk of dementia. Existing comparisons of these models have mostly been based on empirical datasets and have yielded mixed results. This study examines the accuracy of variou...

Ful tanımlama

Kaydedildi:

Detaylı Bibliyografya
Asıl Yazarlar:	Meng Wang, Matthew Greenberg, Nils D. Forkert, Thierry Chekouo, Gabriel Afriyie, Zahinoor Ismail, Eric E. Smith, Tolulope T. Sajobi
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	BMC 2022-11-01
Seri Bilgileri:	BMC Medical Research Methodology
Konular:	Time-to-event outcomes Dementia Risk prediction Cox regression Machine learning
Online Erişim:	https://doi.org/10.1186/s12874-022-01754-y
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models

Benzer Materyaller