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_a9780323956864 _qebook |
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_beng _cUMPSA _erda |
||
| 090 | _aRC660 .I58 2024 | ||
| 245 | 1 |
_aInternet of things and machine learning for type I and type II diabetes : _buse cases / _cedited by Sujata Dash, Subhendu Kumar Pani, Willy Susilo, Bernard Man Yung Bernard, Gary Tse |
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| 264 | 1 |
_aAmsterdam, Netherlands : _bElsevier, _c2024 |
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| 264 | 4 | _c©2024 | |
| 300 | _a1 online resource | ||
| 336 |
_2rdacontent _atext |
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| 337 |
_2rdamedia _acomputer |
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| 338 |
_2rdacarrier _aonline resource |
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| 347 |
_2rda _aScience Direct _bPDF |
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| 500 | _aIncludes index | ||
| 650 | 0 | _aDiabetes | |
| 650 | 0 | _aArtificial intelligence | |
| 700 | 1 |
_aDash, Sujata, _eeditor. |
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| 700 | 1 |
_aPani, Subhendu Kumar, _eeditor. |
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| 700 | 1 |
_aSusilo, Willy, _eeditor. |
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| 700 | 1 |
_aBernard, Bernard Man Yung, _eeditor. |
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| 700 | 1 | _aTse, Gary, | |
| 856 |
_uhttps://www-sciencedirect-com.libraryumpsa.idm.oclc.org/book/edited-volume/9780323956864/internet-of-things-and-machine-learning-for-type-i-and-type-ii-diabetes _zOff-Campus link |
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| 856 |
_uhttps://www.sciencedirect.com/book/edited-volume/9780323956864/internet-of-things-and-machine-learning-for-type-i-and-type-ii-diabetes _zClick here to access (Direct Link) |
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_2lcc _cEBOOK |
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_c104521 _d104527 |
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