CIN paediatric admissions
<|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:'The dataset contains pediatric CIN admissions due to diarrhoea and dehydration from 2013 to 2019 and were used to access the trends in hospitalization following the introduction of rotavirus vaccine. Standardized pediatric admission record (PAR) forms were used to capture the patient’s demographic and clinical details during admission. Discharge summary forms were also used to capture all the patient’s discharge details including diagnosis and whether they are alive or dead.It contains 12 variables including patients’ demographics and clinical signs used to identify diarrhoea and dehydration cases:1.Time - time2.age_months - age in months3.hosp_id - Hospital identifier    4.child_sex - gender5.pulse - pulse rate            6.cap_refill_cat - time until capillary refill7.skin_temp - skin tempereture       8.sunk_eyes -' . 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" : ["Admissions","Dehydration","Diarrhoea","Kenya","Pediatric"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The dataset contains pediatric CIN admissions due to diarrhoea and dehydration from 2013 to 2019 and were used to access the trends in hospitalization following the introduction of rotavirus vaccine. Standardized pediatric admission record (PAR) forms were used to capture the patient’s demographic and clinical details during admission. Discharge summary forms were also used to capture all the patient’s discharge details including diagnosis and whether they are alive or dead.It contains 12 variables including patients’ demographics and clinical signs used to identify diarrhoea and dehydration cases:1.Time - time2.age_months - age in months3.hosp_id - Hospital identifier    4.child_sex - gender5.pulse - pulse rate            6.cap_refill_cat - time until capillary refill7.skin_temp - skin tempereture       8.sunk_eyes -' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The dataset contains pediatric CIN admissions due to diarrhoea and dehydration from 2013 to 2019 and were used to access the trends in hospitalization following the introduction of rotavirus vaccine. Standardized pediatric admission record (PAR) forms were used to capture the patient’s demographic and clinical details during admission. Discharge summary forms were also used to capture all the patient’s discharge details including diagnosis and whether they are alive or dead.It contains 12 variables including patients’ demographics and clinical signs used to identify diarrhoea and dehydration cases:1.Time - time2.age_months - age in months3.hosp_id - Hospital identifier    4.child_sex - gender5.pulse - pulse rate            6.cap_refill_cat - time until capillary refill7.skin_temp - skin tempereture       8.sunk_eyes -
Admissions; Dehydration; Diarrhoea; Kenya; Pediatric