Data Mining in Biomedical Imaging, Signaling, and Systems (eBook, PDF)
Redaktion: Dua, Sumeet; Acharya U, Rajendra
48,95 €
48,95 €
inkl. MwSt.
Sofort per Download lieferbar
24 °P sammeln
48,95 €
Als Download kaufen
48,95 €
inkl. MwSt.
Sofort per Download lieferbar
24 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
48,95 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
24 °P sammeln
Data Mining in Biomedical Imaging, Signaling, and Systems (eBook, PDF)
Redaktion: Dua, Sumeet; Acharya U, Rajendra
- Format: PDF
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to extract hidden features from patient groups and disease states and can aid in automated decision making. Data Mining in Biomedical Imaging, Signaling, and Systems provides an in-depth examination of the biomedi
- Geräte: PC
- ohne Kopierschutz
- eBook Hilfe
- Größe: 19.21MB
Andere Kunden interessierten sich auch für
- Mehedy MasudData Mining Tools for Malware Detection (eBook, PDF)101,95 €
- Robotic Technologies in Biomedical and Healthcare Engineering (eBook, PDF)46,95 €
- Biomedical Engineering (eBook, PDF)137,95 €
- Computational Intelligence and Data Sciences (eBook, PDF)50,95 €
- Sumeet DuaData Mining for Bioinformatics (eBook, PDF)50,95 €
- Jr. HancockPractical Data Mining (eBook, PDF)48,95 €
- Big Data (eBook, PDF)34,95 €
-
-
-
Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to extract hidden features from patient groups and disease states and can aid in automated decision making. Data Mining in Biomedical Imaging, Signaling, and Systems provides an in-depth examination of the biomedi
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 440
- Erscheinungstermin: 19. April 2016
- Englisch
- ISBN-13: 9781439839393
- Artikelnr.: 57532913
- Verlag: Taylor & Francis
- Seitenzahl: 440
- Erscheinungstermin: 19. April 2016
- Englisch
- ISBN-13: 9781439839393
- Artikelnr.: 57532913
Sumeet Dua, PhD, is currently an Upchurch endowed associate professor and the coordinator of IT research at Louisiana Tech University, Ruston. He also serves as adjunct faculty to the School of Medicine, Louisiana State University, Health Sciences Center in New Orleans. His areas of expertise include data mining, image processing, computational decision support, pattern recognition, data warehousing, biomedical informatics, and heterogeneous distributed data integration. The National Science Foundation (NSF), the National Institutes of Health (NIH), the Air Force Research Laboratory (AFRL), the Air Force Office of Sponsored Research, (AFOSR), and the Louisiana Board of Regents (LA-BoR) have funded his research. He frequently serves as a study section member (expert panelist) for the NIH's Center for Scientific Review and has served as a panelist for the NSF/Computing in Science in Engineering (CISE) Directorate. Dr. Dua has chaired several conference sessions in the area of data mining and bioinformatics, and is the program chair for the 5th International Conference on Information Systems, Technology, and Management (ICISTM-2011). He has given over 26 invited talks on data mining and bioinformatics at international academic and industry arenas, advised over 25 graduate theses, and currently advises several students in this field. Dr. Dua is acoinventor of two issued U.S. patents, has co-authored over 50 publications and book chapters, and is an author /editor of 4 books in data mining and bioinformatics. Dr. Dua has received the Engineering and Science Foundation Award for Faculty Excellence (2006) and the Faculty Research Recognition Award (2007); he has been recognized as a Distinguished Researcher (2004-2010) by the Louisiana Biomedical Research Network (sponsored by NIH) and has won the Oustanding Poster Award at the NIH/National Cancer Institute (NCI) caBIG-NCRI Informatics Joint Conference; Biomedical Informatics wi
Data Mining of Acoustical Properties of Speech as Indicators of Depression.
Artificial Neural Network Based ECG Arrhythmia Classification. Human
Reflexive Response and its Objective Function Regarding Balance
Recovery From Perturbation During Walking. Automatic Identification of
Epileptic EEG Signals Using Nonlinear Parameters. Data Mining Approach to
Classify the Pathological Images in Databases Using Color Image Analysis.
Discovery of Association Among Diseases in the Upper Gastro Intestinal
Tract Using Data Mining Techniques. Data Analysis Techniques Applied to
Metabolomics: Analysis and Classification of Migraine Patterns. System
Engineering Principles in the Design of Biomedical Systems. Feature
Classification Methods for Knowledge Discovery in Mammograms. Mining of
Imaging Biomarkers for Quantitative Evaluation of Osteosrthritis.
Typicality Measure and the Creation of Predictive Models in Biomedicine.
Automatic Segmentation Methods and Applications to Biofilm Image Analysis.
On Clustering Gene Expression Time-Series Signals. Multi-Scale Method For
Biomedical Image Segmentation.
Artificial Neural Network Based ECG Arrhythmia Classification. Human
Reflexive Response and its Objective Function Regarding Balance
Recovery From Perturbation During Walking. Automatic Identification of
Epileptic EEG Signals Using Nonlinear Parameters. Data Mining Approach to
Classify the Pathological Images in Databases Using Color Image Analysis.
Discovery of Association Among Diseases in the Upper Gastro Intestinal
Tract Using Data Mining Techniques. Data Analysis Techniques Applied to
Metabolomics: Analysis and Classification of Migraine Patterns. System
Engineering Principles in the Design of Biomedical Systems. Feature
Classification Methods for Knowledge Discovery in Mammograms. Mining of
Imaging Biomarkers for Quantitative Evaluation of Osteosrthritis.
Typicality Measure and the Creation of Predictive Models in Biomedicine.
Automatic Segmentation Methods and Applications to Biofilm Image Analysis.
On Clustering Gene Expression Time-Series Signals. Multi-Scale Method For
Biomedical Image Segmentation.
Data Mining of Acoustical Properties of Speech as Indicators of Depression.
Artificial Neural Network Based ECG Arrhythmia Classification. Human
Reflexive Response and its Objective Function Regarding Balance
Recovery From Perturbation During Walking. Automatic Identification of
Epileptic EEG Signals Using Nonlinear Parameters. Data Mining Approach to
Classify the Pathological Images in Databases Using Color Image Analysis.
Discovery of Association Among Diseases in the Upper Gastro Intestinal
Tract Using Data Mining Techniques. Data Analysis Techniques Applied to
Metabolomics: Analysis and Classification of Migraine Patterns. System
Engineering Principles in the Design of Biomedical Systems. Feature
Classification Methods for Knowledge Discovery in Mammograms. Mining of
Imaging Biomarkers for Quantitative Evaluation of Osteosrthritis.
Typicality Measure and the Creation of Predictive Models in Biomedicine.
Automatic Segmentation Methods and Applications to Biofilm Image Analysis.
On Clustering Gene Expression Time-Series Signals. Multi-Scale Method For
Biomedical Image Segmentation.
Artificial Neural Network Based ECG Arrhythmia Classification. Human
Reflexive Response and its Objective Function Regarding Balance
Recovery From Perturbation During Walking. Automatic Identification of
Epileptic EEG Signals Using Nonlinear Parameters. Data Mining Approach to
Classify the Pathological Images in Databases Using Color Image Analysis.
Discovery of Association Among Diseases in the Upper Gastro Intestinal
Tract Using Data Mining Techniques. Data Analysis Techniques Applied to
Metabolomics: Analysis and Classification of Migraine Patterns. System
Engineering Principles in the Design of Biomedical Systems. Feature
Classification Methods for Knowledge Discovery in Mammograms. Mining of
Imaging Biomarkers for Quantitative Evaluation of Osteosrthritis.
Typicality Measure and the Creation of Predictive Models in Biomedicine.
Automatic Segmentation Methods and Applications to Biofilm Image Analysis.
On Clustering Gene Expression Time-Series Signals. Multi-Scale Method For
Biomedical Image Segmentation.