Deep learning for personalized healthcare services /
This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and...
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| Other Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; Boston :
De Gruyter,
[2021]
©2021 |
| Series: | Intelligent Biomedical Data Analysis ,
7 |
| Subjects: | |
| ISBN: | 9783110708127 |
| ISSN: | 2629-7140 ; |
| Online Access: |
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| 245 | 0 | 0 | |a Deep learning for personalized healthcare services / |c ed. by Vishal Jain, Hadi Hedayati, Salahddine Krit, Omer Deperlioglu, Jyotir Moy Chatterjee. |
| 260 | |a Berlin ; |a Boston : |b De Gruyter, |c [2021] | ||
| 260 | |c ©2021 | ||
| 300 | |a 1 online resource (XVIII, 250 p.) | ||
| 490 | 0 | |a Intelligent Biomedical Data Analysis , |x 2629-7140 ; |v 7 | |
| 505 | 0 | 0 | |t Frontmatter -- |t Preface -- |t Acknowledgments -- |t Contents -- |t Short Biography of Editors -- |t List of Contributors -- |t Deep learning for health and medicine -- |t Exploring Indian Yajna and mantra sciences for personalized health: pandemic threats and possible cures in twenty-first-century healthcare -- |t Advanced deep learning techniques and applications in healthcare services -- |t Visualizations of human bioelectricity with internal symptom captures: the Indo-Vedic concepts on Healthcare 4.0 -- |t Early cancer predictions using ensembles of machine learning and deep learning -- |t Deep learning in patient management and clinical decision making -- |t Patient health record system -- |t Prediction of multiclass cervical cancer using deep machine learning algorithms in healthcare services -- |t Comparative analysis for detecting skin cancer using SGD-based optimizer on a CNN versus DCNN architecture and ResNet-50 versus AlexNet on Adam optimizer -- |t Coronary heart disease analysis using two deep learning algorithms, CNN and RNN, and their sensitivity analyses -- |t An overview of the technological performance of deep learning in modern medicine -- |t Index |
| 516 | |a text file PDF | ||
| 520 | |a This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 650 | 4 | |a Algorithmus. | |
| 650 | 4 | |a Deep Learning. | |
| 650 | 4 | |a Digital Health. | |
| 650 | 4 | |a Maschinelles Lernen. | |
| 650 | 7 | |a COMPUTERS / Social Aspects / General. | |
| 653 | |a algoritmy | ||
| 653 | |a digitálne zdravotníctvo | ||
| 653 | |a strojové učnie | ||
| 655 | 4 | |a elektronické dokumenty | |
| 700 | 1 | |a Chatterjee, Jyotir Moy, |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Chatterjee, Jyotir Moy, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Hedayati, Hadi, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Jain, Mohit, |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Jain, Vishal, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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