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| 020 |
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|a 9780128245378
|q (electronic bk.)
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|z 9780128245361
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|a RA644.C67
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0 |
4 |
|a 614.592414
|2 23
|
| 245 |
0 |
0 |
|a Data science for COVID-19 :
|b computational perspectives /
|c edited by Utku Kose, Deepak Gupta, Victor Hugo Costa de Albuquerque, Ashish Khanna.
|
| 260 |
|
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|a London :
|b Academic Press,
|c 2021.
|
| 300 |
|
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|a 1 online resource
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
|
| 650 |
|
0 |
|a COVID-19 (Disease)
|x Data processing.
|
| 650 |
|
0 |
|a Medical mapping
|x Data processing.
|
| 650 |
|
6 |
|a COVID-19
|0 (CaQQLa)000313216
|x Informatique.
|0 (CaQQLa)201-0380011
|
| 650 |
|
6 |
|a Cartographie m�edicale
|0 (CaQQLa)201-0440459
|x Informatique.
|0 (CaQQLa)201-0380011
|
| 650 |
|
7 |
|a COVID-19 (Disease)
|x Data processing
|2 fast
|0 (OCoLC)fst02021809
|
| 700 |
1 |
|
|a Kose, Utku,
|d 1985-
|
| 776 |
0 |
8 |
|i Print version:
|t Data science for COVID-19.
|d London : Academic Press, 2021
|z 0128245360
|z 9780128245361
|w (OCoLC)1195450159
|
| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128245361
|z Texto completo
|
