Computational Intelligence Techniques in Health Care (eBook)

eBook Download: PDF
2016 | 1st ed. 2016
VII, 100 Seiten
Springer Singapore (Verlag)
978-981-10-0308-0 (ISBN)

Lese- und Medienproben

Computational Intelligence Techniques in Health Care -
Systemvoraussetzungen
53,49 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
This book presents research on emerging computational intelligence techniques and tools, with a particular focus on new trends and applications in health care. Healthcare is a multi-faceted domain, which incorporates advanced decision-making, remote monitoring, healthcare logistics, operational excellence and modern information systems. In recent years, the use of computational intelligence methods to address the scale and the complexity of the problems in healthcare has been investigated. This book discusses various computational intelligence methods that are implemented in applications in different areas of healthcare. It includes contributions by practitioners, technology developers and solution providers.


Prof. P. V. Lakshmi is working with GITAM University, Andhra Pradesh, India. She is the professor and BOS chairman in the department of Information Technology and is a member of the Academic council. She has organized several conferences, workshops and seminars. She is the author of the book 'Discrete Mathematical Structures'. She has published peer-reviewed papers in reputed international journals and conferences. She is Principal Investigator of research project from Government. She is a life member of the cryptology society of India, computer society of India and also member of other professional bodies like IAENG, Bioinformatics.Org, IACSIT, IETE, IEEE etc. Her current research interest includes cryptography, bioinformatics, network security, data analytics and image processing.

Dr. Wengang Zhou is a research scientist and project manager at DuPont Pioneer since 2011. He led a team of scientists and software engineers to build multiple large-scale data analysis pipelines, data repositories, and visualization software used by the entire company. He is the nominee of many biotechnology   research awards in DuPont in the past several years, and collaborated with multiple academic institutions on gene discovery initiatives. He has over 20 conference and journal publications, as well as 4 patent applications by 2015. He was the principle investigator for a few university funded projects, and key members of multiple NSF funded projects. He is an editorial board member of International Journal of Computational Intelligence and Soft Computing, and JBR Journal of Translational Biomarkers & Diagnosis. He also serves as invited reviewers for a number of prestigious journals including BMC genomics, IEEE Transactions on Computational Biology and Bioinformatics, and International Journal of Data Mining and Bioinformatics. His current research interests include cancer diagnostics, data mining, machine learning, genomics, biomarker discovery, and bioinformatics.

Dr. P. Satheesh is an Associate Professor at MVGR College, Vizianagaram, Andhra Pradesh, India. His area of interest is Bioinformatics. He is a member of professional societies like IAEME, IAENG, IEEE, CSI and ACM.


This book presentsresearch on emerging computational intelligence techniques and tools, with aparticular focus on newtrends and applications in health care. Healthcare is a multi-faceted domain,which incorporates advanced decision-making, remote monitoring, healthcarelogistics, operational excellence and modern information systems. In recentyears, the use of computationalintelligence methods to address the scale and the complexity of the problems in healthcarehas been investigated. This book discusses various computationalintelligence methods that are implemented in applications in different areas of healthcare. It includes contributions bypractitioners, technology developers and solution providers.

Prof. P. V. Lakshmi is working with GITAM University, Andhra Pradesh, India. She is the professor and BOS chairman in the department of Information Technology and is a member of the Academic council. She has organized several conferences, workshops and seminars. She is the author of the book “Discrete Mathematical Structures”. She has published peer-reviewed papers in reputed international journals and conferences. She is Principal Investigator of research project from Government. She is a life member of the cryptology society of India, computer society of India and also member of other professional bodies like IAENG, Bioinformatics.Org, IACSIT, IETE, IEEE etc. Her current research interest includes cryptography, bioinformatics, network security, data analytics and image processing. Dr. Wengang Zhou is a research scientist and project manager at DuPont Pioneer since 2011. He led a team of scientists and software engineers to build multiple large-scale data analysis pipelines, data repositories, and visualization software used by the entire company. He is the nominee of many biotechnology   research awards in DuPont in the past several years, and collaborated with multiple academic institutions on gene discovery initiatives. He has over 20 conference and journal publications, as well as 4 patent applications by 2015. He was the principle investigator for a few university funded projects, and key members of multiple NSF funded projects. He is an editorial board member of International Journal of Computational Intelligence and Soft Computing, and JBR Journal of Translational Biomarkers & Diagnosis. He also serves as invited reviewers for a number of prestigious journals including BMC genomics, IEEE Transactions on Computational Biology and Bioinformatics, and International Journal of Data Mining and Bioinformatics. His current research interests include cancer diagnostics, data mining, machine learning, genomics, biomarker discovery, and bioinformatics. Dr. P. Satheesh is an Associate Professor at MVGR College, Vizianagaram, Andhra Pradesh, India. His area of interest is Bioinformatics. He is a member of professional societies like IAEME, IAENG, IEEE, CSI and ACM.

Bioinformatics, genomics and diabetes.-
Coralyne targets proteases involved cancer progression: An InSilico study.- Computational Intelligence Approach for Prediction
Of Breast Cancer Using Particle Swarm Optimization: A Comparative Study Of The
Results With Reduced Set Of Attributes.- QSAR and validation analysis on
MMP-13 Inhibitors.- Detection
of Lesion in Mammogram Images using Differential Evolution based Automatic
Fuzzy Clustering.- Sequence Alignment By Advanced Differential Evolutionary
Algorithm (ADE).- Swarm Intelligence
and Variable Precision Rough Set Model: A Hybrid Approach  for  Classification.-
Ayush To Kidney (Atok) Data Science Model for Diagnosis and to Advice
Through an Expert  System.

Erscheint lt. Verlag 20.4.2016
Reihe/Serie SpringerBriefs in Applied Sciences and Technology
SpringerBriefs in Applied Sciences and Technology
SpringerBriefs in Forensic and Medical Bioinformatics
SpringerBriefs in Forensic and Medical Bioinformatics
Zusatzinfo VII, 100 p. 23 illus., 21 illus. in color.
Verlagsort Singapore
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Technik Bauwesen
Technik Medizintechnik
Schlagworte CI in healthcare • Data Mining • Decision Support Systems • DNA Microarray analysis • evolutionary algorithms • machine learning algorithms • soft computing methods
ISBN-10 981-10-0308-4 / 9811003084
ISBN-13 978-981-10-0308-0 / 9789811003080
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 2,9 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Praxis-Guide für Künstliche Intelligenz in Unternehmen - Chancen …

von Thomas R. Köhler; Julia Finkeissen

eBook Download (2024)
Campus Verlag
38,99
Wie du KI richtig nutzt - schreiben, recherchieren, Bilder erstellen, …

von Rainer Hattenhauer

eBook Download (2023)
Rheinwerk Computing (Verlag)
17,43