000 | 01244 a2200349 4500 | ||
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005 | 20250515151140.0 | ||
264 | 0 | _c20090226 | |
008 | 200902s 0 0 eng d | ||
022 | _a1520-9156 | ||
024 | 7 |
_a10.1089/dia.2007.0301 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aMolnár, Gergö A | |
245 | 0 | 0 |
_aThe Poincaré plot, but not the correlation R value, is a good marker of temporal variability of CGMS data. _h[electronic resource] |
260 |
_bDiabetes technology & therapeutics _cDec 2008 |
||
300 |
_a506-7 p. _bdigital |
||
500 | _aPublication Type: Letter | ||
650 | 0 | 4 | _aAdult |
650 | 0 | 4 |
_aBlood Glucose _xmetabolism |
650 | 0 | 4 |
_aDiabetes Mellitus, Type 1 _xblood |
650 | 0 | 4 |
_aGas Chromatography-Mass Spectrometry _xmethods |
650 | 0 | 4 | _aHumans |
650 | 0 | 4 | _aKinetics |
650 | 0 | 4 |
_aMonitoring, Physiologic _xmethods |
650 | 0 | 4 | _aReproducibility of Results |
650 | 0 | 4 | _aSensitivity and Specificity |
700 | 1 | _aBoros, András G | |
700 | 1 | _aPótó, László | |
700 | 1 | _aTamaskó, Mónika | |
700 | 1 | _aWittmann, István | |
773 | 0 |
_tDiabetes technology & therapeutics _gvol. 10 _gno. 6 _gp. 506-7 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1089/dia.2007.0301 _zAvailable from publisher's website |
999 |
_c18504047 _d18504047 |