"Handbook of Artificial Intelligence in Biomedical Engineering" - Information and Links:

Handbook of Artificial Intelligence in Biomedical Engineering - Info and Reading Options

"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:
  • Language: English
  • Number of Pages: 622
  • Publisher: ➤  Apple Academic Press, Incorporated
  • Publish Date:
  • Publish Location: Palm Bay, FL
  • Library of Congress Classification: R859.7.A78

“Handbook of Artificial Intelligence in Biomedical Engineering” Subjects and Themes:

Edition Identifiers:

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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