Automated AI Model Development: a Systematic Literature Review

Abstract excerpt

<title>Abstract</title> <p>Artificial intelligence (AI) has rapidly evolved, presenting both opportunities and challenges in the development and deployment of sophisticated models. Traditional methods for creating AI models often require extensive human expertise for tasks such as feature engineering, hyperparameter tuning, and model selection, making the process time-consuming and prone to bias. In response, aut...

Topics

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• Artificial Intelligence
• Decision Support Systems, Clinical
• Electronic Health Records
• Genetic Variation
• Genetics, Medical

Identifiers and source

Literature Corpus work

ba88dad9-9e71-580a-9c03-426ef339e00a

DOI

10.21203/rs.3.rs-7394040/v1