Cargando…
Combination of Serum and Plasma Biomarkers Could Improve Prediction Performance for Alzheimer’s Disease
Alzheimer’s disease (AD) can be predicted either by serum or plasma biomarkers, and a combination may increase predictive power, but due to the high complexity of machine learning, it may also incur overfitting problems. In this paper, we investigated whether combining serum and plasma biomarkers wi...
Autores principales: | Zhang, Fan, Petersen, Melissa, Johnson, Leigh, Hall, James, O’Bryant, Sid E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601501/ https://www.ncbi.nlm.nih.gov/pubmed/36292623 http://dx.doi.org/10.3390/genes13101738 |
Ejemplares similares
-
Characterizing Plasma Biomarkers of Alzheimer's in a Diverse Community-Based Cohort: A Cross-Sectional Study of the HAB-HD Cohort
por: Hall, James R., et al.
Publicado: (2022) -
Accelerating Hyperparameter Tuning in Machine Learning for Alzheimer’s Disease With High Performance Computing
por: Zhang, Fan, et al.
Publicado: (2021) -
Hyperparameter Tuning with High Performance Computing Machine Learning for Imbalanced Alzheimer’s Disease Data
por: Zhang, Fan, et al.
Publicado: (2022) -
A Precision Medicine Approach to Treating Alzheimer’s Disease Using Rosiglitazone Therapy: A Biomarker Analysis of the REFLECT Trials
por: O’Bryant, Sid E., et al.
Publicado: (2021) -
Plasma Total Tau and Neurobehavioral Symptoms of Cognitive Decline in Cognitively Normal Older Adults
por: Hall, James R., et al.
Publicado: (2021)