Computational Intelligence for Oncology and Neurological Disorders Computational Intelligence for Oncology and Neurological Disorders
Chapman & Hall/CRC Computational Biology Series

Computational Intelligence for Oncology and Neurological Disorders

Current Practices and Future Directions

    • USD 72.99
    • USD 72.99

Descripción editorial

With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators.

The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.

GÉNERO
Informática e Internet
PUBLICADO
2024
15 de julio
IDIOMA
EN
Inglés
EXTENSIÓN
292
Páginas
EDITORIAL
CRC Press
VENDEDOR
Taylor & Francis Group
TAMAÑO
10.5
MB
Big Data Analytics Big Data Analytics
2018
Medical Data Analysis and Processing using Explainable Artificial Intelligence Medical Data Analysis and Processing using Explainable Artificial Intelligence
2023
Industrial Transformation Industrial Transformation
2022
Innovations in Bio-Inspired Computing and Applications Innovations in Bio-Inspired Computing and Applications
2020
Innovations in Intelligent Computing and Communication Innovations in Intelligent Computing and Communication
2022
Multi-objective Swarm Intelligence Multi-objective Swarm Intelligence
2015
The Ten Most Wanted Solutions in Protein Bioinformatics The Ten Most Wanted Solutions in Protein Bioinformatics
2005
Structural Bioinformatics Structural Bioinformatics
2008
Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R
2009
Gene Expression Studies Using Affymetrix Microarrays Gene Expression Studies Using Affymetrix Microarrays
2009
Biological Sequence Analysis Using the SeqAn C++ Library Biological Sequence Analysis Using the SeqAn C++ Library
2009
Glycome Informatics Glycome Informatics
2009