| Titre : | Deep Learning in Biomedical and Health Informatics Current Applications and Possibilities |
| Auteurs : | Jabba M. A., Auteur ; Abraham Ajith, Auteur ; Madureira Ana Maria, Auteur |
| Type de document : | Monographie imprimée |
| Editeur : | CRC Press Editeur, 2023 |
| ISBN/ISSN/EAN : | 978-0-367-75154-8 |
| Format : | 1 vol. (224 p.) / ill., couv. ill. en coul / 23.5cm |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Résumé : |
This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a comprehensive review of research applying deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing, and highlights various challenges in applying deep learning in health care. This book also includes applications and case studies across all areas of AI in healthcare data. The editors also aim to provide new theories, techniques, developments, and applications of deep learning, and to solve emerging problems in healthcare and other domains. This book is intended for computer scientists, biomedical engineers, and healthcare professionals researching and developing deep learning techniques. |
| Sommaire : |
1. Foundations of Deep Learning and it’s Applications to Health Informatics Syed Saba Raoof, M A Jabbar, Sanju Tiwari 2. Deep Knowledge Mining of Complete HIV Genome Sequences in Selected African Cohorts Moses E. Ekpenyong 3. Review of Machine Learning Approach for Drug development Process Devottam Gaurav 4. A Detailed Comparison of Deep Neural Networks for Diagnosis of COVID-19 M.B. Bicer 5. Detection of Lung Disease with Convolutional Neural Networks Emre Olmez 6. Deep Learning Methods For Diagnosis Of Covid-19 Using Radiology Images And Genome Sequences: Challenges And Limitations Hilal Arslan 7. Applications of life time modeling with competing risk in Biomedical Sciences N Chandra 8. PeNLP Parser: An Extraction and Visualization Tool for Precise Maternal, Neonatal and Child Healthcare Geo-locations from Unstructured Data Patience Usoro Usip 9. Recent Trends in Deep learning, challenges and opportunities S. Kannadhasan, R. Nagarajan, M. Shanmuganantham |
| Type de document : | Livres |
Disponibilité (3)
| Cote | Support | Localisation | Statut |
|---|---|---|---|
| INF/830 | Livre | bibliothèque sciences exactes | Empruntable |
| INF/830 | Livre | bibliothèque sciences exactes | Empruntable |
| INF/830 | Livre | bibliothèque sciences exactes | Empruntable |
