Applications - Health
Miembros
Descripción
Aplicación de modelos de clasificación para el área de Salud.
Publicaciones
- Corrección de la disparidad de género en el acceso al trasplante hepático
- Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2
- Error-correcting output codes in the framework of deep ordinal classification
- An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients
- Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation
- Ordinal classification of the affectation level of 3D-images in Parkinson diseases
- A population-based controlled experiment assessing the epidemiological impact of digital contact tracing
- Machine learning methods in organ transplantation
- Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals
- Deep Ordinal Classification Based on the Proportional Odds Model
- Advanced feature extraction and machine learning models to melanoma and Breslow index detection
- Image classification of synaptic dopamine transporters 123I-Ioflupane by machine learning techniques
- ICBrain: Software para cálculo del volumen de infarto cerebral provocado en roedores
- Sistema automático para el cálculo de volumen de infarto cerebral a partir de imágenes de resonancia magnética
- A multi-level analysis of the relationship between spatial clusters of outpatient-treated depression, risk factors and mental health service planning in Catalonia (Spain).
- Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images
- Changes in socioeconomic determinants of health: comparing the effect of social and economic indicators through European welfare state regimes.
- Permanent Disability Classification by Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods
- Permanent Disability Classification using Hybrid Neuro-Logistic Regression Models
- Ordinal classification of depression spatial hot-spots of prevalence
