rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Signal processing and machine learning for biomedical big data
  name:
    name part: Sejdic, Ervin
    role:
      role term: editor.
  name:
    name part: Falk, Tiago H.
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xviii, 605 pages) : illustrations
  abstract: This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The chapters will desribe tools that can be used by biomedical and clinical practitioners as well as industry professionals. It will give signal processing researchers a glimpse into the issues faced with Big Medical Data.
  table of contents: Part I Introduction -- chapter 1 Signal Processing in the Era of Biomedical Big Data / Tiago H. Falk -- chapter 2 Collecting and Making Sense of Big Data for Improved Health Care / Thomas R. Clancy -- chapter 3 Big Data Era in Magnetic Resonance Imaging of the Human Brain / Xiaoyu Ding -- part II Signal Processing for Big Data -- chapter 4 Data-Driven Approaches for Detecting and Identifying Anomalous Data Streams / Shaofeng Zou -- chapter 5 Time?Frequency Analysis for EEG Quality Measurement and Enhancement with Applications in Newborn EEG Abnormality Detection -- Multichannel EEG Enhancement and Classification for Newborn Health Outcome Prediction / Boualem Boashash -- chapter 6 Active Recursive Bayesian State Estimation for Big Biological Data 1 / Mohammad Moghadamfalahi -- chapter 7 Compressive Sensing Methods for Reconstruction of Big Sparse Signals / Ljubisǎ Stankovic ́ -- chapter 8 Low-Complexity DCT Approximations for Biomedical Signal Processing in Big Data / Renato J. Cintra -- chapter 9 Dynamic Processes on Complex Networks / June Zhang -- chapter 10 Modeling Functional Networks via Piecewise-Stationary Graphical Models 1 / Hang Yu -- chapter 11 Topological Data Analysis of Biomedical Big Data / Angkoon Phinyomark -- chapter 12 Targeted Learning with Application to Health Care Research / Susan Gruber -- part III Applications of Signal Processing and Machine Learning for Big Biomedical Data -- chapter 13 Scalable Signal Data Processing for Measuring Functional Connectivity in Epilepsy Neurological Disorder / Arthur Gershon -- chapter 14 Machine Learning Approaches to Automatic Interpretation of EEGs / Iyad Obeid -- chapter 15 Information Fusion in Deep Convolutional Neural Networks for Biomedical Image Segmentation 1 / Mohammad Havaei -- chapter 16 Automated Biventricular Cardiovascular Modelling from MRI for Big Heart Data Analysis / Kathleen Gilbert -- chapter 17 Deep Learning for Retinal Analysis / Henry A. Leopold -- chapter 18 Dictionary Learning Appl…
  note: edited by Ervin Sejdic and Tiago H. Falk.
  note: Includes bibliographical references and index.
  subject:
    topic: Medical informatics
  subject:
    topic: Signal processing
    topic: Digital techniques
  subject:
    topic: Machine learning
  subject:
    topic: Statistics
    topic: Methodology
  subject:
    topic: Medical Informatics
  subject:
    topic: Data Collection
  subject:
    topic: Signal Processing, Computer-Assisted
  subject:
    topic: Machine Learning
  subject:
    topic: Médecine
    topic: Informatique
  subject:
    topic: Traitement du signal
    topic: Techniques numériques
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Statistique
    topic: Méthodologie
  subject:
    topic: HEALTH & FITNESS / Holism
  subject:
    topic: HEALTH & FITNESS / Reference
  subject:
    topic: MEDICAL / Alternative Medicine
  subject:
    topic: MEDICAL / Atlases
  subject:
    topic: MEDICAL / Essays
  subject:
    topic: MEDICAL / Family & General Practice
  subject:
    topic: MEDICAL / Holistic Medicine
  subject:
    topic: MEDICAL / Osteopathy
  subject:
    topic: MEDICAL / Biotechnology
  subject:
    topic: SCIENCE / Biotechnology
  subject:
    topic: TECHNOLOGY / Electricity
  subject:
    topic: Machine learning
  subject:
    topic: Medical informatics
  subject:
    topic: Signal processing
    topic: Digital techniques
  classification: R855.3
  classification: 610.285
  classification: W 26.5
  related item:
    title info:
      title: Signal processing and machine learning for biomedical big data
    origin info:
      publisher: Boca Raton : Taylor & Francis, 2018.
    identifier: (DLC) 2017053075
  identifier: 9781351061216
  identifier: 1351061216
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  identifier: 149877346X
  identifier: 9781498773454
  identifier: 9781351061209
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  identifier: 2020691198
  identifier: 9781351061216 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 171106
    record change date: 20241108165634.1
    record identifier: in00005520808
    language of cataloging:
      language term: eng