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A qualitative research framework for the design of user-centered displays of explanations for machine learning model predictions in healthcare
BACKGROUND: There is an increasing interest in clinical prediction tools that can achieve high prediction accuracy and provide explanations of the factors leading to increased risk of adverse outcomes. However, approaches to explaining complex machine learning (ML) models are rarely informed by end-...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545557/ https://www.ncbi.nlm.nih.gov/pubmed/33032582 http://dx.doi.org/10.1186/s12911-020-01276-x |