Health Informatics Data Analysis Methods and Examples /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Xu, Dong (Επιμελητής έκδοσης), Wang, May D. (Επιμελητής έκδοσης), Zhou, Fengfeng (Επιμελητής έκδοσης), Cai, Yunpeng (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Health Information Science,
• Θέματα: Computer science.; Health informatics.; Data mining.; Bioinformatics.; Biomathematics.; Computer Science.; Health Informatics.; Data Mining and Knowledge Discovery.; Computational Biology/Bioinformatics.; Genetics and Population Dynamics.

This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of...

Πίνακας περιεχομένων:

• 1 Electrocardiogram
• 2 EEG visualization and analysis techniques
• 3 Big health data mining
• 4 Computational infrastructure for tele-health
• 5 Identification and Functional Annotation of lncRNAs in human disease
• 6 Metabolomics characterization of human diseases
• 7 Metagenomics for Monitoring Environmental Biodiversity: Challenges, Progress, and Opportunities
• 8 Global nonlinearfitness function for protein structures
• 9 Clinical Assessment of Disease Risk Factors Using SNP Data and Bayesian Methods
• 10 Imaging genetics: information fusion and association techniques between biomedical images and genetic factors.