Descriptive statistics for blood cell ratios for the analytical cohort (n = 67,974).

<p>Descriptive statistics for blood cell ratios for the analytical cohort (n = 67,974).</p>

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Bibliographic Details
Main Author:	Fei Yang (46361) (author)
Other Authors:	Tong Meng (462237) (author), Ben Torben-Nielsen (14725376) (author), Carsten Magnus (327831) (author), Chuang Liu (165506) (author), Emilie Dejean (14725379) (author)
Published:	2023
Subjects:	Biological Sciences not elsewhere classified ten standard measurements model &# 8217 false positive rate false negative rate emergency department visits current assessment relies complete blood count 42 %, respectively 1993 &# 8211 predictive model based based predictive model significant diagnostic challenge random forest method quantitative triaging tool primary headache ), machine learning approach random forest machine learning predictive performance diagnostic testing diagnostic neuroimaging world data unmet need uk medicines support triaging subjective measures secondary headaches secondary headache retrospective study rapidly differentiate prolonging diagnosis primary headaches primary headache patient demographic logistic regression incorrect prediction following predictors economic burden clinical characteristics balanced accuracy assessed using 7405 ). 19 ratios
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