Diagnostic Strategies / Algorithms

From dermoscopedia

Main PageDiagnostic Strategies / AlgorithmsABCD rule
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 Authored by: Ralph P. Braun

 Keywords:   algorithm · diagnostic strategy
Annotations
Description revised pattern analysisThis glossary term has not yet been described., pattern analysis, ABCDThis glossary term has not yet been described. rule, Menzies Method, sevenThis glossary term has not yet been described. pointThis glossary term has not yet been described. checklistis a type of informational job aid used to reduce failure by compensating for potential limits of human memory and attention., 3 point checklist, chaos and cluesThis glossary term has not yet been described.This an algorithm used in dermoscopy [[Chaos and Clues]], TADA, prediction without pigment, colorColor (American English) or colour (Commonwealth English) is the characteristic of human visual perception described through color categories, with names such as red, yellow, purple, or blue. wheel approach and other algorithms
Author(s) Ralph P. Braun
Owner Ralph Braun→ send e-mail
Status released
Status update May 20, 2017
Status by Ralph P. Braun
Subchapter(s): 

Pattern analysis

ABCD rule

Menzies Method

Seven Point Checklist

Three point checklist

Chaos and Clues

TADA

Prediction without Pigment

Other diagnostic strategies / algorithms

The color wheel approach


User=

Since the early days of dermoscopyDermoscopy is a non invasive diagnostic method., diagnostic algorithms have been in the centre of research.

The purpose of a diagnostic algorithmIn mathematics and computer science, an algorithm (Listeni/ˈælɡərɪðəm/ AL-gə-ri-dhəm) is a self-contained sequence of actions to be performed. Algorithms can perform calculation, data processing and automated reasoning tasks. in the most copious to determine whether the lesion is benignis any condition that is harmless in the long run or malignantThis glossary term has not yet been described.. It uses different dermoscopy criteriameasure of how well one variable or set of variables predicts an outcome and or a combination of dermoscopy criteria so that one will be able to make the correct diagnosisis the identification of the nature and cause of a certain phenomenon. Diagnosis is used in many different disciplines with variations in the use of logic, analytics, and experience to determine "cause and effect". In systems engineering and computer science, it is typically used to determine the causes of symptoms, mitigations, and solutions.

In this chapter we focused on the most used algorithms listed above.
Please let us know if you feel that there is an algorithm missing from the list info‐at‐dermoscopedia.org