Detalles de la búsqueda
1.
Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation.
J Diabetes Res
; 2023: 9713905, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37404324
2.
Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation.
Diseases
; 11(4)2023 Sep 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-37873778
3.
Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification Methods.
Healthcare (Basel)
; 9(3)2021 Mar 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-33809283
4.
Deep artificial neural network based on environmental sound data for the generation of a children activity classification model.
PeerJ Comput Sci
; 6: e308, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33816959
5.
Comparison of Night, Day and 24 h Motor Activity Data for the Classification of Depressive Episodes.
Diagnostics (Basel)
; 10(3)2020 Mar 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-32192030
6.
Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients.
Diagnostics (Basel)
; 9(1)2019 Jan 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-30634621
7.
Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013â»2014.
Bioengineering (Basel)
; 5(2)2018 Jun 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-29912173
Resultados
1 -
7
de 7
1
Próxima >
>>