Health informatics : a computational perspective in healthcare / Ripon Patgiri, Anupam Biswas, Pinki Roy, editors.
Patgiri, Ripon, editor.; Biswas, Anupam, editor.; Roy, Pinki, editor.
2021
R859.7.D35 H43 2021eb
Available Online

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Title Health informatics : a computational perspective in healthcare / Ripon Patgiri, Anupam Biswas, Pinki Roy, editors.
ISBN 9789811597350 (electronic bk.)
9811597359 (electronic bk.)
9811597340
9789811597343
DOI https://doi.org/10.1007/978-981-15-9735-0
Published Singapore : Springer, [2021]
Language English
Description 1 online resource (x, 377 pages) : illustrations (some color)
Other Standard Identifiers 10.1007/978-981-15-9735-0 doi
Call Number R859.7.D35 H43 2021eb
Dewey Decimal Classification 610.285
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed March 9, 2021).
Added Author Patgiri, Ripon, editor.
Biswas, Anupam, editor.
Roy, Pinki, editor.
Series Studies in computational intelligence ; v. 932. 1860-949X
Available in Other Form Health informatics.
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Record Appears in Online Resources > Ebooks
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