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|a 9789811597350
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|a 10.1007/978-981-15-9735-0
|2 doi
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|a (DE-He213)978-981-15-9735-0
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1 |
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|a Health Informatics: A Computational Perspective in Healthcare /
|c edited by Ripon Patgiri, Anupam Biswas, Pinki Roy.
|
| 250 |
|
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|a 1st ed. 2021.
|
| 264 |
|
1 |
|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2021.
|
| 300 |
|
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|a 1 online resource (X, 377 pages 196 illustrations, 147 illustrations in color.)
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
|
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
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| 347 |
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|a text file
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| 490 |
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|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 932
|
| 505 |
0 |
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|a 6G Communication Technology: A Vision on Intelligent Healthcare -- Deep Learning Based Medical Image Analysis Using Transfer Learning -- Wearable Internet of Things for Personalized Healthcare: Study of Trends and Latent Research -- Principal Component Analysis, Quantifying, and Filtering of Poincare Plots for Time Series Typal For E-Health -- Medical Image Generation Using Generative Adversarial Networks: A Review -- Comparative Analysis of Various Deep Learning Algorithms for Diabetic Retinopathy Images -- Software Design Specification and Analysis of Insulin Dose to Adaptive Carbohydrate Algorithm for Type 1 Diabetic Patients -- Iot Based Healthcare Monitoring System Using 5G Communication and Machine Learning Models -- Medical Image Classification Techniques and Analysis Using Deep Learning Networks: A Review.
|
| 520 |
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|a This book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of the key technologies that are being currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, machine learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data-driven approach is not taken. With the help of computing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of genomic data using various computing techniques is another emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which machine learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression. .
|
| 650 |
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0 |
|a Computational intelligence.
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| 650 |
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0 |
|a Health informatics.
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| 650 |
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0 |
|a Data mining.
|
| 650 |
1 |
4 |
|a Computational Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11014
|
| 650 |
2 |
4 |
|a Health Informatics.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/H28009
|
| 650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18030
|
| 655 |
|
7 |
|a Electronic books.
|2 local
|
| 700 |
1 |
|
|a Patgiri, Ripon.
|e editor.
|0 (orcid)0000-0002-9899-9152
|1 https://orcid.org/0000-0002-9899-9152
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Biswas, Anupam.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Roy, Pinki.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer Nature eBook
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9789811597343
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9789811597367
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9789811597374
|
| 830 |
|
0 |
|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 932
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://doi.org/10.1007/978-981-15-9735-0
|z Connect to the full text of this electronic book
|t 0
|
| 950 |
|
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|a Intelligent Technologies and Robotics (SpringerNature-42732)
|
| 950 |
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|a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
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| 955 |
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|a Springer EBA Purchase
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|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e Q342
|h Library of Congress classification
|
| 998 |
f |
f |
|a Q342
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|l Available Online
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