Computational Intelligence and Predictive Analysis for Medical Science (PDF)
A Pragmatic Approach
(Sprache: Englisch)
THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems...
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems...
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THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
P.Tanwar, Manav Inst., Faridabad; P.Kumar, S.Rawat, Amity Univ., Tashkent; M.Mohammadian, Univ. of Canberra; S. Ahmad, Univ. of Ottawa.
Autoren-Porträt
P.Tanwar, Manav Inst., Faridabad; P.Kumar, S.Rawat, Amity Univ., Tashkent; M.Mohammadian, Univ. of Canberra; S. Ahmad, Univ. of Ottawa.
Bibliographische Angaben
- 2021, 1. Auflage, 333 Seiten, Englisch
- Herausgegeben: Saif Ahmad, Praveen Kumar, Masoud Mohammadian, Seema Rawat, Poonam Tanwar
- Verlag: Walter de Gruyter GmbH & Co.KG
- ISBN-10: 3110715279
- ISBN-13: 9783110715279
- Erscheinungsdatum: 08.11.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 6.08 MB
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Englisch
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