Buch, Englisch, 282 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 576 g
Buch, Englisch, 282 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 576 g
Reihe: Smart and Intelligent Computing in Engineering
ISBN: 978-0-367-64169-6
Verlag: CRC Press
Features:
- Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics
- Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms
- Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions
- Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications
- Includes recent achievements in AI and bioinformatics contributed by a global team of researchers
Zielgruppe
Academic, Postgraduate, Professional, and Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Geowissenschaften Umweltwissenschaften Umwelttechnik
- Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
- Naturwissenschaften Biowissenschaften Biowissenschaften
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
Weitere Infos & Material
Contents
Contributors.vii
Editors.xi
Chapter 1 An Artificial Intelligence-based Expert System for the Initial
Screening of COVID-19.1
Anurag Sharma, Hitesh Marwaha, Vikrant Sharma and Love Kumar
Chapter 2 An Insight into the Potential Role of Artificial Intelligence in
Bioinformatics. 17
Divya Bhatia and Deepak Malik
Chapter 3 AI-Based Natural Language Processing for the Generation of
Meaningful Information Electronic Health Record (EHR) Data. 41
Kuldeep Singh Kaswan, Loveleen Gaur, Jagjit Singh
Dhatterwal, and Rajesh Kumar
Chapter 4 AI and Genomes for Decisions Regarding the Expression of
Genes.87
Abeedha Tu-Allah Khan and Haleema Qamar
Chapter 5 Implementation of Donor Recognition and Selection for
Bioinformatics Blood Bank Application. 105
Soobia Saeed, N.Z. Jhanjhi, and Memood Naqvi
Chapter 6 Deep Learning Techniques for miRNA Sequence Analysis. 139
Saswati Mahapatra, Jayashankar Das, David Correa
Martins-Jr, and Tripti Swarnkar
Chapter 7 Role of Machine Intelligence in Cancer Drug Discovery and
Development. 153
Kaushik Kumar Bharadwaj, Bijuli Rabha, Gaber El-Saber
Batiha, Debabrat Baishya, and Arabinda Ghosh
Chapter 8 Genome and Gene Editing by Artificial Intelligence Programs. 165
Imran Zafar, Aamna Rafique, Javaria Fazal, Misbah Manzoor,
Qurat Ul Ain, and Rehab A. Rayan
Chapter 9 Artificial Neural Network (ANN) Techniques in Solving the
Protein Folding Problem. 189
Raghunath Satpathy
Chapter 10 Application of Machine Learning and Molecular Modeling in
Drug Discovery and Cheminformatics. 201
Manish Kumar Tripathi, Sushant Kumar Shrivastava, S.
Karthikeyan, Dhiraj Sinha, and Abhigyan Nath
Chapter 11 Role of Advanced Artificial Intelligence Techniques in
Bioinformatics. 215
Harshit Bhardwaj, Pradeep Tomar, Aditi Sakalle,
and Uttam Sharma
Chapter 12 A Bioinformatics Perspective on Artificial Intelligence in
Healthcare and Diagnosis: Applications, Implications, and
Limitations.227
Anuradha Bhardwaj, Arun Solanki, and Vikrant Nain
Chapter 13 Accelerating Translational Medical Research by Leveraging
Artificial Intelligence: Digital Healthcare. 243
G. M. Roopa, K. Shryavani, N. Pradeep, and Vicente Garcia Diaz
Index.265