Machine learning method helps predict mental health symptoms in adolescents
In recent decades researchers have shown that an adolescent’s neurobiology and environment interact to shape emotional and behavioral development, but...
machine
Multi-metric comparison of machine learning imputation methods with application to breast cancer survival | BMC Medical Research Methodology
Motivating example: breast cancer case studyTo apply our most effective method to a real-world situation, we used data from a...
A comparative analysis of classical and machine learning methods for forecasting TB/HIV co-infection
This study aimed to explore prediction models for the incidence of TB/HIV coinfection, estimating the epidemic trend of cases from...
Machine learning approach helps researchers design better gene-delivery vehicles for gene therapy
Systematic multi-trait protein optimization paradigm. Credit: Nature Communications (2024). DOI: 10.1038/s41467-024-50555-y Gene therapy could potentially cure genetic diseases, but it...
Guidelines for using interpretable machine learning methods in computational biology
Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such...
Identifying diseases symptoms and general rules using supervised and unsupervised machine learning
In this section, we analyze data to investigate disease symptoms using AR and predictive modeling.Data preparationAs shown in Table 1,...
