Main description:

Provides a proficient guide on the relationship between AI and healthcare and how AI is changing all aspects of the health care industry
Covers how deep learning will help in the diagnosis and the prediction of disease spread
Presents a comprehensive review of research applying deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing
Highlights various challenges in applying the deep learning in health care
Promotes research in deep learning application in understanding the biomedical process

Contents:

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