Handbook of Artificial Intelligence in Biomedical Engineering - Info and Reading Options
By Saravanan Krishnan, Ramesh Kesavan, G. S. Mahalakshmi and B. Surendiran
"Handbook of Artificial Intelligence in Biomedical Engineering" was published by Apple Academic Press, Incorporated in 2020 - Palm Bay, FL, it has 622 pages and the language of the book is English.
“Handbook of Artificial Intelligence in Biomedical Engineering” Metadata:
- Title: ➤ Handbook of Artificial Intelligence in Biomedical Engineering
- Authors: Saravanan KrishnanRamesh KesavanG. S. MahalakshmiB. Surendiran
- Language: English
- Number of Pages: 622
- Publisher: ➤ Apple Academic Press, Incorporated
- Publish Date: 2020
- Publish Location: Palm Bay, FL
- Library of Congress Classification: R859.7.A78
“Handbook of Artificial Intelligence in Biomedical Engineering” Subjects and Themes:
- Subjects: ➤ Artificial intelligence - Medical applications - Biomedical engineering - Artificial Intelligence - Biomedical Engineering - Methods - Medical Informatics Applications - Intelligence artificielle en médecine - Génie biomédical - COMPUTERS
Edition Identifiers:
- The Open Library ID: OL28076492M - OL20752714W
- Online Computer Library Center (OCLC) ID: 1201696364
- Library of Congress Control Number (LCCN): 2020046580
- ISBN-13: 9781000067675 - 9781003045564 - 9781000067651 - 9781000067637
- All ISBNs: 9781000067675 - 9781003045564 - 9781000067651 - 9781000067637
AI-generated Review of “Handbook of Artificial Intelligence in Biomedical Engineering”:
"Handbook of Artificial Intelligence in Biomedical Engineering" Description:
Open Data:
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
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