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Inside the “black box”: Embedding clinical knowledge in data-driven machine learning for heart disease diagnosis
17
Zitationen
2
Autoren
2022
Jahr
Abstract
We share insights and discuss the effectiveness of incorporating clinical input in machine learning to improve model performance, as well as addressing some practical issues such as data bias and interpretability. We hope this preliminary study on engaging clinical expertise to explore the "black box" would improve the trustworthiness of AI and its potential wider uptake in the medical field.
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