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: Advances in Artificial Intelligence, Computation, and Data Science
    sub title: For Medicine and Life Science
  name:
    name part: Pham, Tuan D.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Yan, Hong.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Ashraf, Muhammad W.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Sjöberg, Folke.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2021
    edition: 1st ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XIV, 369 pages 162 illustrations, 137 illustrations in color.)
  abstract: Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity-in both time and memory requirements-for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society. This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. The benefits to the reader are manifold as researchers from similar or different fields can be aware of advanced developments and novel applications that can be useful for either immediate implementations or future scientific pursuit. Features: Considers recent advances in AI, computation, and data science for solving complex problems in medicine, physiology, biology, chemistry, and biochemistry Provides recent developments in three evolving key areas and their complementary combinations: AI, computation, and data science Reports on applications in medicine and physiology, including cancer, neuroscience, and digital pathology Examines applications in life science, including systems biology, biochemistry, and even food technology This unique book, representing research from a team of international contributors, has not only real utility in academia for those in the medical and life sciences communities, but also a much wider readership from industry, science, and other areas of technology and education. Tuan D. Pham is professor and founding director of the Center for Artificial Intelligence at Prince Mohammad…
  table of contents: Part I: Review of Recent Developments in AI, Computational Models for Complex Data Analysis, and Data Science -- 1. Recent Developments in AI -- 2. Recent Developments in Computational Models for Data Analysis -- 3. Recent Developments in Data Science -- Part II: Applications in Medicine and Physiology -- 4. Cancer -- 5. Neuroscience -- 6. Cardiology -- 7. Critical Care -- 8. Health Care -- 9. Digital Pathology -- Part III: Applications in Life Science -- 10. Systems Biology -- 11. Cell Biology -- 12. Biochemistry -- 13. Chemo-metrics -- 14. Food Technology.
  note: edited by Tuan D. Pham, Hong Yan, Muhammad W. Ashraf, Folke Sjöberg.
  subject:
    topic: Bioinformatics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Computers
  subject:
    topic: Biomathematics
  subject:
    topic: Optical data processing
  subject:
    topic: Bioinformatics
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Data Structures and Information Theory
  subject:
    topic: Theory of Computation
  subject:
    topic: Mathematical and Computational Biology
  subject:
    topic: Computer Imaging, Vision, Pattern Recognition and Graphics
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Computational Biology, 31
  identifier: 9783030699512
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 210712
    record change date: 20230330185329.3
    record identifier: in00004393832