Buch, Englisch, 224 Seiten, Format (B × H): 154 mm x 238 mm, Gewicht: 499 g
Reihe: Emerging Trends in Biomedical Technologies and Health informatics
Current Applications and Possibilities
Buch, Englisch, 224 Seiten, Format (B × H): 154 mm x 238 mm, Gewicht: 499 g
Reihe: Emerging Trends in Biomedical Technologies and Health informatics
ISBN: 978-0-367-72604-1
Verlag: CRC Press
In short, the volume:
- Discusses the relationship between AI and healthcare, and how AI is changing the health care industry.
- Considers uses of deep learning in diagnosis and prediction of disease spread.
- Presents a comprehensive review of research applying deep learning in health informatics across multiple fields.
- Highlights challenges in applying deep learning in the field.
- Promotes research in ddeep llearning application in understanding the biomedical process.
Dr. M.A. Jabbar is a professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India.
Prof. (Dr.) Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA.
Dr. Onur Dogan is an assistant professor at Izmir Bakirçay University, Turkey.
Prof. Dr. Ana Madureira is the Director of The Interdisciplinary Studies Research Center at Instituto Superior de Engenharia do Porto (ISEP), Portugal.
Dr. Sanju Tiwari is a senior researcher at Universidad Autonoma de Tamaulipas, Mexico.
Zielgruppe
Academic and Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Dienstleistungssektor & Branchen
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
Weitere Infos & Material
1. Foundations of Deep Learning and its Applications to Health Informatics.
2. Deep Knowledge Mining of Complete HIV Genome Sequences in Selected African Cohorts.
3. Review of Machine Learning Approach for Drug development Process.
4. A Detailed Comparison of Deep Neural Networks for Diagnosis of COVID-19.
5. Deep Learning in BioMedical Applications: Detection of Lung Disease with Convolutional Neural Networks
6. Deep Learning Methods For Diagnosis Of Covid-19 using Radiology Images And Genome Sequences: Challenges And Limitations.
7. Applications of Lifetime Modeling with Competing Risks in Biomedical Sciences.
8. PeNLP Parser: An Extraction and Visualization Tool for Precise Maternal, Neonatal and Child Healthcare Geo-locations from Unstructured Data.
9. Recent Trends in Deep learning, Challenges and Opportunities