<p>Classifiers of infection status over 1000 iterations are plotted, with frequency of classifier identification as the best in any given iteration indicated by size of the dot for that classifier. On day 7, the 5 best classifiers all occurred when <i>t<sub>1</sub> = 0</i>; that is, at a single timepoint SUR, with the single best classifier being <15 min after the administration of FDG. On day 14, all but one (<i>δ</i>SUV at <i>t<sub>1</sub></i> = 15 min and <i>t<sub>2</sub></i> = 40 min) of the 5 best classifiers of infection status were a single timepoint SUR, with the single best classifier being >85 min after the administration of FDG.</p
<p>A. Comparison between TGDR and Meta-TGDR for binary classifiers. B. Comparisons between TGDR and ...
The probability of sepsis threshold was adjusted individually for each model in each cross validatio...
<p>Grey-scale plot indicating the maximum number of days after positive sampling to efficiently stop...
<p>Left: Results illustrate the number of 1000 randomly-generated datasets in which the indicated ti...
<p>Left: Results illustrate the number of 1000 randomly-generated datasets in which the indicated ti...
Infection trends over 5 days for strands in batch 1.06, categorized by 3 maximal infection distance ...
diagnoses and free-text triage diagnoses are routinely collected data elements that have potential v...
*<p>Window periods are shown in years for four testing algorithms for subtype A, subtype C, subtypes...
The objective of this paper is to evaluate a panel of statistical algorithms for temporal outbreak d...
BioSense is a US national system that uses data from health information systems for automated diseas...
<div><p>The objective of this paper is to evaluate a panel of statistical algorithms for temporal ou...
The RecentMax algorithm seeks to detect typical outbreaks of transmissible disease (particularly inf...
Sequential infection data, but not single infection data, enabled prediction of further sequential i...
AbstractNational syndromic surveillance systems require optimal anomaly detection methods. For metho...
Boxplot of onset days for the four categories of sepsis (gray dots = sample data points, black dots ...
<p>A. Comparison between TGDR and Meta-TGDR for binary classifiers. B. Comparisons between TGDR and ...
The probability of sepsis threshold was adjusted individually for each model in each cross validatio...
<p>Grey-scale plot indicating the maximum number of days after positive sampling to efficiently stop...
<p>Left: Results illustrate the number of 1000 randomly-generated datasets in which the indicated ti...
<p>Left: Results illustrate the number of 1000 randomly-generated datasets in which the indicated ti...
Infection trends over 5 days for strands in batch 1.06, categorized by 3 maximal infection distance ...
diagnoses and free-text triage diagnoses are routinely collected data elements that have potential v...
*<p>Window periods are shown in years for four testing algorithms for subtype A, subtype C, subtypes...
The objective of this paper is to evaluate a panel of statistical algorithms for temporal outbreak d...
BioSense is a US national system that uses data from health information systems for automated diseas...
<div><p>The objective of this paper is to evaluate a panel of statistical algorithms for temporal ou...
The RecentMax algorithm seeks to detect typical outbreaks of transmissible disease (particularly inf...
Sequential infection data, but not single infection data, enabled prediction of further sequential i...
AbstractNational syndromic surveillance systems require optimal anomaly detection methods. For metho...
Boxplot of onset days for the four categories of sepsis (gray dots = sample data points, black dots ...
<p>A. Comparison between TGDR and Meta-TGDR for binary classifiers. B. Comparisons between TGDR and ...
The probability of sepsis threshold was adjusted individually for each model in each cross validatio...
<p>Grey-scale plot indicating the maximum number of days after positive sampling to efficiently stop...