000 02262cam a2200301zu 4500
001 88930439
003 FRCYB88930439
005 20250107105954.0
006 m o d
007 cr un
008 250107s2021 fr | o|||||0|0|||eng d
020 _a9780128245361
035 _aFRCYB88930439
040 _aFR-PaCSA
_ben
_c
_erda
100 1 _aKose, Utku
245 0 1 _aData Science for COVID-19 Volume 1
_bComputational Perspectives
_c['Kose, Utku', 'Gupta, Deepak', 'Albuquerque, Victor Hugo Costa De']
264 1 _bElsevier Science
_c2021
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aKose, Utku
700 0 _aGupta, Deepak
700 0 _aAlbuquerque, Victor Hugo Costa De
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/88930439
_qtext/html
_a
520 _aData Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions
999 _c16430
_d16430