Evidence for the druggability of aldosterone targets in heart failure: A bioinformatics and data science-driven decision-making approach.
Lucas Salgado Rezende de MendonçaSergio SenarLuana Lorena MoreiraJosé Antonio da Silva JúniorMoni NaderLuciana Aparecida CamposOvidiu Constantin BaltatuPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- heart failure
- data science
- decision making
- machine learning
- data mining
- statistical learning
- health care
- big data
- decision makers
- clinical decision support systems
- normal subjects
- clinical data
- heart disease
- data analysis
- decision support system
- text mining
- data sets
- knowledge management
- information processing
- business intelligence
- raw data