000 | 05635nam a22006855i 4500 | ||
---|---|---|---|
001 | 978-3-030-69951-2 | ||
003 | DE-He213 | ||
005 | 20240423130112.0 | ||
007 | cr nn 008mamaa | ||
008 | 210712s2021 sz | s |||| 0|eng d | ||
020 |
_a9783030699512 _9978-3-030-69951-2 |
||
024 | 7 |
_a10.1007/978-3-030-69951-2 _2doi |
|
050 | 4 | _aQH324.2-324.25 | |
072 | 7 |
_aPS _2bicssc |
|
072 | 7 |
_aUY _2bicssc |
|
072 | 7 |
_aSCI008000 _2bisacsh |
|
072 | 7 |
_aPSAX _2thema |
|
082 | 0 | 4 |
_a570.285 _223 |
082 | 0 | 4 |
_a570.113 _223 |
245 | 1 | 0 |
_aAdvances in Artificial Intelligence, Computation, and Data Science _h[electronic resource] : _bFor Medicine and Life Science / _cedited by Tuan D. Pham, Hong Yan, Muhammad W. Ashraf, Folke Sjöberg. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
|
300 |
_aXIV, 369 p. 165 illus., 137 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aComputational Biology, _x2662-2432 ; _v31 |
|
505 | 0 | _aPart 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. | |
520 | _aArtificial 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 Bin Fahd University, Saudi Arabia. Hong Yan is currently chair professor of computer engineering at City University of Hong Kong. Dr. Muhammad Waqar Ashraf is professor and dean of College of Sciences & Human Studies at Prince Mohammad Bin Fahd University. Folke Sjöberg is professor of burn surgery and critical care at Linköping University, Sweden, and director of the Burn Center at the Linköping University Hospital. | ||
650 | 0 | _aBioinformatics. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 |
_aArtificial intelligence _xData processing. |
|
650 | 0 | _aComputer science. | |
650 | 0 | _aBiomathematics. | |
650 | 0 |
_aImage processing _xDigital techniques. |
|
650 | 0 | _aComputer vision. | |
650 | 1 | 4 | _aComputational and Systems Biology. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aData Science. |
650 | 2 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aMathematical and Computational Biology. |
650 | 2 | 4 | _aComputer Imaging, Vision, Pattern Recognition and Graphics. |
700 | 1 |
_aPham, Tuan D. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aYan, Hong. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aAshraf, Muhammad W. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aSjöberg, Folke. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030699505 |
776 | 0 | 8 |
_iPrinted edition: _z9783030699529 |
776 | 0 | 8 |
_iPrinted edition: _z9783030699536 |
830 | 0 |
_aComputational Biology, _x2662-2432 ; _v31 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-69951-2 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c185071 _d185071 |