| 000 | 01430 a2200433 4500 | ||
|---|---|---|---|
| 005 | 20250518054612.0 | ||
| 264 | 0 | _c20200930 | |
| 008 | 202009s 0 0 eng d | ||
| 022 | _a2379-3708 | ||
| 024 | 7 |
_a10.1172/jci.insight.130423 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aKomarzynski, Sandra | |
| 245 | 0 | 0 |
_aPredictability of individual circadian phase during daily routine for medical applications of circadian clocks. _h[electronic resource] |
| 260 |
_bJCI insight _c09 2019 |
||
| 500 | _aPublication Type: Journal Article; Observational Study; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 | _aAdult |
| 650 | 0 | 4 | _aAged |
| 650 | 0 | 4 |
_aBody Temperature _xphysiology |
| 650 | 0 | 4 |
_aCircadian Clocks _xphysiology |
| 650 | 0 | 4 |
_aCircadian Rhythm _xphysiology |
| 650 | 0 | 4 | _aDrug Chronotherapy |
| 650 | 0 | 4 | _aFemale |
| 650 | 0 | 4 | _aHealthy Volunteers |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aMale |
| 650 | 0 | 4 | _aMarkov Chains |
| 650 | 0 | 4 | _aMiddle Aged |
| 650 | 0 | 4 | _aModels, Biological |
| 650 | 0 | 4 |
_aMonitoring, Physiologic _xinstrumentation |
| 650 | 0 | 4 | _aPhotoperiod |
| 650 | 0 | 4 | _aRemote Sensing Technology |
| 650 | 0 | 4 | _aYoung Adult |
| 700 | 1 | _aBolborea, Matei | |
| 700 | 1 | _aHuang, Qi | |
| 700 | 1 | _aFinkenstädt, Bärbel | |
| 700 | 1 | _aLévi, Francis | |
| 773 | 0 |
_tJCI insight _gvol. 4 _gno. 18 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1172/jci.insight.130423 _zAvailable from publisher's website |
| 999 |
_c30022718 _d30022718 |
||