Outlier Detection In Medical Data

Outlier Labeling Methods for Medical Data | SpringerLink

https://link.springer.com/chapter/10.1007/978-981-13-0872-7_6

There are several labeling methods already proposed for the purpose of detection of outliers in a data set. Here we have used six outlier labeling methods, namely the method of Standard Deviation (SD), Median method, Median Absolute Deviation …

A critical overview of outlier detection methods

https://www.sciencedirect.com/science/article/pii/S1574013720304068

Outlier detection is the process of detecting outliers in a data set, usually used in the preprocessing phase of data analytic. The detection of potential outliers …

A Systematic Review of Outliers Detection …

https://www.researchgate.net/publication/221334605_A_Systematic_Review_of_Outliers_Detection_Techniques_in_Medical_Data_-_Preliminary_Study

Outlier detection is important in healthcare [65, 66] in order to obtain significant information, which is …

Identification of Outliers in Medical …

http://article.sapub.org/10.5923.j.statistics.20140406.01.html

Identification of Outliers in Medical Diagnostic System Using Data Mining Techniques 1. Introduction. Outlier detection is a very important concept in the …

Anomaly detection - Wikipedia

https://en.wikipedia.org/wiki/Anomaly_detection

Outlier detection in medical data using linguistic summaries

https://www.semanticscholar.org/paper/Outlier-detection-in-medical-data-using-linguistic-Duraj/b5de1d1448d9a3a52830dd22995399cab9e68b2b

Outlier detection in medical data using linguistic summaries. The main purpose of outlier detection algorithms is to find a new feature that is distinct from the other …

Vital Signs: Assessing Data Health and Dealing with …

https://towardsdatascience.com/vital-signs-assessing-data-health-and-dealing-with-outliers-e6f1d2569a52

Before using Data Health, it’s best to use the Feature Types Tool to make sure your data types are set properly, and you may get different results if you don’t. Data …

Identification of Outliers in Medical …

https://www.researchgate.net/publication/274721695_Identification_of_Outliers_in_Medical_Diagnostic_System_Using_Data_Mining_Techniques

Outlier detection has been widely applied in medical informatics for addressing different issues, such as detecting unusual patient-management actions in ICU [5], …

An Improved Outlier Detection Algorithm to Medical …

https://link.springer.com/chapter/10.1007/978-3-319-46257-8_47

At present, outlier detection is roughly divided into four kinds: statistical outlier detection, clustering-based outlier detection, distance-based outlier …

Outlier Detection — Theory, Visualizations, and Code

https://towardsdatascience.com/outlier-detection-theory-visualizations-and-code-a4fd39de540c

Outlier Detection is also known as anomaly detection, noise detection, deviation detection, or exception mining. There is no universally accepted definition. An …