Diagnosing ectopic pregnancy using the Bayes theorem: a retrospective cohort study.
<|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:'This dataset contains anonymized data from a retrospective cohort study, between January 1, 2009, and December 27, 2016, analyzing 3112 transvaginal ultrasounds (TVUS) obtained from 2495 patients. Data are divided into 3 sets, based on individual TVUS, based on individuals and a tree viewer, where there is a combination of the 2 datasets' . 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" : ["Bayes Theorem","Data Accuracy","diagnosis","ectopic pregnancy","HCG-beta","ultrasonography"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset contains anonymized data from a retrospective cohort study, between January 1, 2009, and December 27, 2016, analyzing 3112 transvaginal ultrasounds (TVUS) obtained from 2495 patients. Data are divided into 3 sets, based on individual TVUS, based on individuals and a tree viewer, where there is a combination of the 2 datasets' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset contains anonymized data from a retrospective cohort study, between January 1, 2009, and December 27, 2016, analyzing 3112 transvaginal ultrasounds (TVUS) obtained from 2495 patients. Data are divided into 3 sets, based on individual TVUS, based on individuals and a tree viewer, where there is a combination of the 2 datasets
Bayes Theorem; Data Accuracy; diagnosis; ectopic pregnancy; HCG-beta; ultrasonography