000 01492nam a2200361 i 4500
003 MY-KuUP
005 20260625091444.0
006 a||||fo|||| 001 0
007 cr a||||||||||
008 260402t20242024ne ||||fo|||| 001 0 eng d
020 _a9780323956864
_qebook
040 _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
264 1 _aAmsterdam, Netherlands :
_bElsevier,
_c2024
264 4 _c©2024
300 _a1 online resource
336 _2rdacontent
_atext
337 _2rdamedia
_acomputer
338 _2rdacarrier
_aonline resource
347 _2rda
_aScience Direct
_bPDF
500 _aIncludes index
650 0 _aDiabetes
650 0 _aArtificial intelligence
700 1 _aDash, Sujata,
_eeditor.
700 1 _aPani, Subhendu Kumar,
_eeditor.
700 1 _aSusilo, Willy,
_eeditor.
700 1 _aBernard, Bernard Man Yung,
_eeditor.
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
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)
942 _2lcc
_cEBOOK
999 _c104521
_d104527