TY  - GEN
AB  - This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because todays problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedical education.
AU  - Kose, Utku,
AU  - Deperlioglu, Omer,
AU  - Alzubi, Jafar,
AU  - Patrut, Bogdan,
CN  - R859.7.A78
DO  - 10.1007/978-981-15-6325-6
DO  - doi
ET  - 1st ed. 2021.
ID  - 1431749
KW  - Artificial intelligence
KW  - Machine learning.
KW  - Decision support systems.
KW  - Intelligence artificielle en médecine.
KW  - Apprentissage automatique.
KW  - Systèmes d'aide à la décision.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-6325-6
N2  - This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because todays problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedical education.
SN  - 9789811563256
SN  - 981156325X
T1  - Deep learning for medical decision support systems /
TI  - Deep learning for medical decision support systems /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-6325-6
VL  - v.909
ER  -