Aqueous glucose measured by NIR spectroscopy
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Near infrared spectroscopy (NIR) is a promising technique that could be used for continuous blood glucose monitoring in the treatment of diabetic patients. Four interferents (lactate, ethanol, caffeine and acetaminophen) were introduced to study how the glucose predictions varied with interferent concentration. Lactate and ethanol was found to interfere with the glucose concentration when they were not included in the calibration of the model built with partial least squares regression modeling' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["diabetes","Glucose","Near Infrared spectroscopy","NIR"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Near infrared spectroscopy (NIR) is a promising technique that could be used for continuous blood glucose monitoring in the treatment of diabetic patients. Four interferents (lactate, ethanol, caffeine and acetaminophen) were introduced to study how the glucose predictions varied with interferent concentration. Lactate and ethanol was found to interfere with the glucose concentration when they were not included in the calibration of the model built with partial least squares regression modeling' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Near infrared spectroscopy (NIR) is a promising technique that could be used for continuous blood glucose monitoring in the treatment of diabetic patients. Four interferents (lactate, ethanol, caffeine and acetaminophen) were introduced to study how the glucose predictions varied with interferent concentration. Lactate and ethanol was found to interfere with the glucose concentration when they were not included in the calibration of the model built with partial least squares regression modeling
diabetes; Glucose; Near Infrared spectroscopy; NIR