Interpreting deep machine learning models: an easy guide for oncologists
Healthcare agents, in particular in the oncology field, are currently collecting vast amounts of
diverse patient data. In this context, some decision-support systems, mostly based on deep …
diverse patient data. In this context, some decision-support systems, mostly based on deep …
Machine learning for smart health care
RA Rayan - Machine Learning Algorithms and Applications in …, 2023 - api.taylorfrancis.com
Machine learning (ML) incorporates advanced algorithms working on disparate big data to
reveal valuable trends that would be challenging to be figured out by even skilled experts …
reveal valuable trends that would be challenging to be figured out by even skilled experts …
[PDF][PDF] Current and emerging capabilities of AI-powered genomics, and associated ethical, legal and political debates
Claims about the potential of artificial intelligence to transform the development, application
and practice of genomic science have become increasingly common in recent years. In …
and practice of genomic science have become increasingly common in recent years. In …
Image processing methods for computer-aided screening for disease
JJ Gómez Valverde - 2018 - oa.upm.es
El cribado de enfermedades es una práctica muy extendida en los servicios de salud desde
el siglo XX. En nuestros días, en la mayoría de los países desarrollados podemos encontrar …
el siglo XX. En nuestros días, en la mayoría de los países desarrollados podemos encontrar …