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Communication Dans Un Congrès Année : 2021

Can Artificial Intelligence predict breast cancer ?

Résumé

Nowadays, many areas of research use new technologies to improve performance and customer satisfaction. Healthcare is one of the areas most affected by the innovations of Artificial Intelligence and its sub-domains. One of the health domains most affected by technology transformations is cancer, which also has a high mortality rate requiring a socio-technical solution. In this paper, we will focus on the most common type of female cancer: breast cancer. We test four different machine-learning algorithms that offer classification and prediction capabilities in order to improve diagnosis of breast cancer using openly available secondary data set. The study also offers some best practices to improve the health technology assessments when using AI technologies for better stakeholder and public value perceptions.
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hal-03174823 , version 1 (19-03-2021)

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  • HAL Id : hal-03174823 , version 1

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Mohamed Aziz, Anuragini Shirish. Can Artificial Intelligence predict breast cancer ?. ICDSA 2021 : 2nd International Conference on Data Science and Applications, Jadavpur University, Kolkata, India; Soft Computing Research Society (SCRS), New Delhi, India, Apr 2021, Kolkata (International Conference in Virtual Format), India. ⟨hal-03174823⟩
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