Handbook of artificial intelligence in biomedical engineering / edited by Saravanan Krishnan [and three others].

Format:

Book

Contributor:

Saravanan, Krishnan, 1982- editor.

Series:

Biomedical engineering: techniques and applications

Language:

English

Subjects (All):

Artificial intelligence--Medical applications.

Artificial intelligence.

Biomedical engineering.

Physical Description:

1 online resource (565 pages).

Edition:

First edition.

Place of Publication:

Palm Bay, FL, USA ; Burlington, ON, Canada : Apple Academic Press, 2021.

Summary:

"Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts. Topics include: Security and privacy issues in biomedical AI systems and potential solutions Healthcare applications using biomedical AI systems Machine learning in biomedical engineering Live patient monitoring systems Semantic annotation of healthcare data This book presents a broad exploration of biomedical systems using artificial intelligence techniques with detailed coverage of the applications, techniques, algorithms, platforms, and tools in biomedical AI systems. This book will benefit researchers, medical and industry practitioners, academicians, and students"-- Provided by publisher.

Contents:

Design of Medical Expert Systems Using Machine Learning Techniques / S. Anto, S. Siamala Devi, K.R. Jothi, and R. Lokeshkumar

From Design Issues to Validation : Machine Learning in Biomedical Engineering / Christail Sharon and V. Suma

Biomedical Engineering and Informatics Using Artificial Intelligence / K. Padmavathi and A.S. Saranya

Hybrid Genetic Algorithms for Biomedical Applications / P. Srividya and Rajendran Sindhu

Healthcare Applications Using Biomedical AI System / S. Shyni Carmel Mary and S. Sasikala

Applications of Artificial Intelligence in Biomedical Engineering / Puja Sahay Prasad, Vinit Kumar Gunjan, Rashmi Pathak, and Saurabh Mukherjee

Biomedical Imaging Techniques Using AI Systems / A. Aafreen Nawresh and S. Sasikala

Analysis of Heart Disease Prediction Using Machine Learning Techniques / N. Hema Priya, N. Gopikarani, and S. Shymala Gowri

Review of Patient Monitoring and Diagnosis Assistance by Artificial Intelligence Tools / Sindhu Rajendran, Meghamadhuri Vakil, Rhutu Kallur, Vidhya Shree, Praveen Kumar Gupta, and Lingaiya Hiremat

Semantic Annotation of Healthcare Data / M. Manonmani and Sarojini Balakrishanan

Drug Side Effect Frequency Mining over a Large Twitter Dataset using Apache Spark / Dennis Hsu, Melody Moh, Teng-Sheng Moh, and Diane Moh

Deep Learning in Brain Segmentation / Hao-Yu Yang

Security and Privacy Issues in Biomedical AI Systems and Potential Solutions / G. Niranjana and Deya Chatterjee

LIMOS-Live Patient Monitoring System / T. Ananth Kumar, S. Arunmozhi Selvi, R.S. Rajesh, P. Sivananaintha Perumal, and J. Stalin

Real-Time Detection of Facial Expressions Using k-NN, SVM, Ensemble Classifier and Convolution Neural Networks / A. Sharmila, B. Bhavya, and K. V. N. Kavitha

Analysis and Interpretation of Uterine Contraction Signals Using Artificial Intelligence / P. Mahalakshmi and S. Suja Priyadharsini

Enhanced Classification Performance of Cardiotocogram Data for Fetal State Anticipation Using Evolutionary Feature Reduction Techniques /

Subha Velappan, Manivanna Boopathi Arumugam, and Zafer Comert

Deployment of Supervised Machine Learning and Deep Learning Algorithms in Biomedical Text Classification / G. Kumaravelan and Bichitrananda Behera

Energy Efficient Optimum Cluster Head Estimation for Body Area Networks / P. Sundareswaran and R.S. Rajesh

Segmentation and Classification of Tumour Regions from Brain Magnetic Resonance Images by Neural Network-Based Technique / J.V. Bibal Benifa and G. Venifa Mini

A Hypothetical Study in Biomedical Based Artificial Intelligence Systems Using Machine Language (ML) Rudiments / D. Renuka Devi and S. Sasikala

Neural Source Connectivity Estimation Using Particle Filter and Granger Causality Methods / Santhosh Kumar Veeramalla and T.V.K. Hanumantha Rao

Exploration of Lymph Node-Negative Breast Cancers by Support Vector Machines, Naïve Bayes, and Decision Trees : A Comparative Study / J. Satya Eswari, Pradeep Singh, and Srilakshmi Mutyala.

Notes:

Description based on print version record.

ISBN:

1-00-304556-1

1-003-04556-1

1-000-06763-7

1-000-06767-X

9781003045564

OCLC:

1201696364