Detalles de la búsqueda
1.
Highly perturbed genes and hub genes associated with type 2 diabetes in different tissues of adult humans: a bioinformatics analytic workflow.
Funct Integr Genomics
; 22(5): 1003-1029, 2022 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-35788821
2.
Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine learning model.
Int J Med Inform
; 179: 105228, 2023 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-37774429
3.
Temporal validation and updating of a prediction model for the diagnosis of gestational diabetes mellitus.
J Clin Epidemiol
; 164: 54-64, 2023 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-37659584
4.
Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study.
PLoS One
; 17(6): e0269191, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35679284
5.
A data-driven biocomputing pipeline with meta-analysis on high throughput transcriptomics to identify genome-wide miRNA markers associated with type 2 diabetes.
Heliyon
; 8(2): e08886, 2022 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-35169647
6.
Use and performance of machine learning models for type 2 diabetes prediction in clinical and community care settings: Protocol for a systematic review and meta-analysis of predictive modeling studies.
Digit Health
; 7: 20552076211047390, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-34868616
7.
Nutritional markers of undiagnosed type 2 diabetes in adults: Findings of a machine learning analysis with external validation and benchmarking.
PLoS One
; 16(5): e0250832, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-33951067
8.
Clinical notes as prognostic markers of mortality associated with diabetes mellitus following critical care: A retrospective cohort analysis using machine learning and unstructured big data.
Comput Biol Med
; 132: 104305, 2021 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-33705995
9.
A combined strategy of feature selection and machine learning to identify predictors of prediabetes.
J Am Med Inform Assoc
; 27(3): 396-406, 2020 03 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-31889178
Resultados
1 -
9
de 9
1
Próxima >
>>