Veröffentlicht von De Gruyter

Intelligent Biomedical Data Analysis

Herausgegeben von: Deepak Gupta, PhD., Nhu Gia Nguyen, Ashish Khanna und Siddhartha Bhattacharyya

ISSN: 2629-7140

e-ISSN 2629-7159

Übersicht
Bände

THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Fachgebiete

Buch 2024

Healthcare Big Data Analytics

Computational Optimization and Cohesive Approaches

Akash Kumar Bhoi, Ranjit Panigrahi, Victor, Hugo C. de Albuquerque, Rutvij H. Jhaveri

Band 10 in dieser Reihe

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This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.

DOI:: https://doi.org/10.1515/9783110750942
ISBN:: 9783110750942
ISBN:: 9783110750737
ISBN:: 9783110750980
Fachgebiet:: Informatik
Fachgebiet:: Künstliche Intelligenz
Fachgebiet:: Informationstechnik
Fachgebiet:: Algorithmen
Fachgebiet:: Informatik in den Lebenswissenschaften
Verlag:: De Gruyter

Buch 2021

Deep Learning for Personalized Healthcare Services

Vishal Jain, Jyotir Moy Chatterjee, Hadi Hedayati, Salahddine Krit, Omer Deperlioglu

Band 7 in dieser Reihe

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This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing.

DOI:: https://doi.org/10.1515/9783110708127
ISBN:: 9783110708127
ISBN:: 9783110708172
ISBN:: 9783110708004
Fachgebiet:: Informatik
Fachgebiet:: Künstliche Intelligenz
Fachgebiet:: Algorithmen
Fachgebiet:: Informatik in den Lebenswissenschaften
Fachgebiet:: Biologie
Fachgebiet:: Bioinformatik
Verlag:: De Gruyter

Buch 2021

Computational Intelligence and Predictive Analysis for Medical Science

A Pragmatic Approach

Poonam Tanwar, Praveen Kumar, Seema Rawat, Masoud Mohammadian, Saif Ahmad

Band 6 in dieser Reihe

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This book uncovers stakes and possibilities offered by Computational Intelligence and Predictive Analytics to Medical Science. The main focus is on data technologies,classification, analysis and mining, information retrieval, and in the algorithms needed to elaborate the informations. A section with use cases and applications follows the two main parts of the book, respectively dedicated to the foundations and techniques of the discipline.

DOI:: https://doi.org/10.1515/9783110715279
ISBN:: 9783110715279
ISBN:: 9783110715347
ISBN:: 9783110714982
Fachgebiet:: Informatik
Fachgebiet:: Künstliche Intelligenz
Fachgebiet:: Informatik in den Lebenswissenschaften
Fachgebiet:: Technik
Fachgebiet:: Elektrotechnik
Fachgebiet:: Informationstechnik
Fachgebiet:: Mathematik
Fachgebiet:: Angewandte Mathematik
Verlag:: De Gruyter

Buch 2021

Computational Intelligence for Managing Pandemics

Aditya Khamparia, Rubaiyat Hossain Mondal, Prajoy Podder, Bharat Bhushan, Victor Hugo C. de Albuquerque, Sachin Kumar

Band 5 in dieser Reihe

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This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and applications from the current Covid-19 pandemic. The book chapters will focus on the application of CI and its related fields in managing different aspects of Covid-19, including modelling of the disease spread, data-driven prediction, identification of disease hotspots, and medical decision support.

DOI:: https://doi.org/10.1515/9783110712254
ISBN:: 9783110712254
ISBN:: 9783110712278
ISBN:: 9783110700206
Fachgebiet:: Informatik
Fachgebiet:: Künstliche Intelligenz
Fachgebiet:: Algorithmen
Fachgebiet:: Informatik in den Lebenswissenschaften
Verlag:: De Gruyter

Buch 2021

Nature-Inspired Optimization Algorithms

Recent Advances in Natural Computing and Biomedical Applications

Aditya Khamparia, Ashish Khanna, Nhu Gia Nguyen, Bao Le Nguyen

Band 4 in dieser Reihe

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This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems.

Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications.

Tentative Table of Contents/Topic Coverage:　

- Neural Computation

- Evolutionary Computing Methods

- Neuroscience driven AI Inspired Algorithms

- Biological System based algorithms

- Hybrid and Intelligent Computing Algorithms

- Application of Natural Computing

- Review and State of art analysis of Optimization algorithms

- Molecular and Quantum computing applications

- Swarm Intelligence

- Population based algorithm and other optimizations

DOI:: https://doi.org/10.1515/9783110676112
ISBN:: 9783110676112
ISBN:: 9783110676150
ISBN:: 9783110676068
Fachgebiet:: Informatik
Fachgebiet:: Künstliche Intelligenz
Fachgebiet:: Algorithmen
Fachgebiet:: Informatik in den Lebenswissenschaften
Fachgebiet:: Technik
Fachgebiet:: Bioingenieurwesen
Fachgebiet:: Biomedizinische Elektronik
Verlag:: De Gruyter

Buch 2021

Artificial Intelligence for Data-Driven Medical Diagnosis

Deepak Gupta, Utku Kose, Bao Le Nguyen, Siddhartha Bhattacharyya

Band 3 in dieser Reihe

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This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.

DOI:: https://doi.org/10.1515/9783110668322
ISBN:: 9783110668322
ISBN:: 9783110668384
ISBN:: 9783110667813
Fachgebiet:: Informatik
Fachgebiet:: Künstliche Intelligenz
Fachgebiet:: Algorithmen
Fachgebiet:: Informatik in den Lebenswissenschaften
Fachgebiet:: Medizin
Fachgebiet:: Klinische Medizin
Fachgebiet:: Klinische Medizin, andere
Verlag:: De Gruyter

Buch 2020

Predictive Intelligence in Biomedical and Health Informatics

Rajshree Srivastava, Nhu Gia Nguyen, Ashish Khanna, Siddhartha Bhattacharyya

Band 2 in dieser Reihe

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Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.

DOI:: https://doi.org/10.1515/9783110676129
ISBN:: 9783110676129
ISBN:: 9783110676143
ISBN:: 9783110676082
Fachgebiet:: Informatik
Fachgebiet:: Künstliche Intelligenz
Fachgebiet:: Algorithmen
Fachgebiet:: Informatik in den Lebenswissenschaften
Fachgebiet:: Technik
Fachgebiet:: Elektrotechnik
Fachgebiet:: Robotik
Verlag:: De Gruyter

Buch 2020

Computational Intelligence for Machine Learning and Healthcare Informatics

Rajshree Srivastava, Pradeep Kumar Mallick, Siddharth Swarup Rautaray, Manjusha Pandey

Band 1 in dieser Reihe

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This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.

DOI:: https://doi.org/10.1515/9783110648195
ISBN:: 9783110648195
ISBN:: 9783110649277
ISBN:: 9783110647822
Fachgebiet:: Informatik
Fachgebiet:: Künstliche Intelligenz
Fachgebiet:: Informationstechnik
Fachgebiet:: Algorithmen
Fachgebiet:: Informatik in den Lebenswissenschaften
Verlag:: De Gruyter

Buch 2023

Computer Intelligence Against Pandemics

Tools and Methods to Face New Strains of COVID-19

Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Sergey Gorbachev, Khan Muhammad, Mario Koeppen

Band 9 in dieser Reihe

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This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. While medical and natural sciences have been working instantly on deriving solutions and trying to protect humankind against such virus types, there is also a great focus on technological developments for improving the mechanism – momentum of science for effective and efficient solutions. At this point, computational intelligence is the most powerful tools for researchers to fight against COVID-19. Thanks to instant data-analyze and predictive techniques by computational intelligence, it is possible to get positive results and introduce revolutionary solutions against related medical diseases. By running capabilities – resources for rising the computational intelligence, technological fields like Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics are essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the computational intelligence more. Nowadays, there is a great interest in the application potentials of computational intelligence to be an effective approach for taking humankind more step away, after COVID-19 and before pandemics similar to the COVID-19 many appear.

DOI:: https://doi.org/10.1515/9783110767681
ISBN:: 9783110767681
ISBN:: 9783110767759
ISBN:: 9783110767667
Fachgebiet:: Informatik
Fachgebiet:: Künstliche Intelligenz
Fachgebiet:: Informationstechnik
Fachgebiet:: Informatik in den Lebenswissenschaften
Fachgebiet:: Medizin
Fachgebiet:: Klinische Medizin
Fachgebiet:: Öffentliches Gesundheitswesen
Verlag:: De Gruyter

Buch 2022

Artificial Intelligence and Computational Dynamics for Biomedical Research

Ankur Saxena, Nicolas Brault

Band 8 in dieser Reihe

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This work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information & knowledge management and the concerns along with the solutions adopted in these fields.

DOI:: https://doi.org/10.1515/9783110762044
ISBN:: 9783110762044
ISBN:: 9783110762082
ISBN:: 9783110761993
Fachgebiet:: Informatik
Fachgebiet:: Künstliche Intelligenz
Fachgebiet:: Bioinformatik
Fachgebiet:: Informatik in den Lebenswissenschaften
Fachgebiet:: Technik
Fachgebiet:: Elektrotechnik
Fachgebiet:: Informationstechnik
Verlag:: De Gruyter