English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In recent decades, attention has been directed at anemia classification forvarious medical purposes, such as thalassemia screening and predicting irondeficiency anemia (IDA). In this study, a new method has been successfullytested for discrimination between IDA and \b{eta}-thalassemia trait(\b{eta}-TT). The method is based on a Dynamic Harmony Search (DHS). Completeblood count (CBC), a fast and inexpensive laboratory test, is used as the inputof the system. Other models, such as a genetic programming method calledstructured representation on genetic algorithm in non-linear function fitting(STROGANOFF), an artificial neural network (ANN), an adaptive neuro-fuzzyinference system (ANFIS), a support vector machine (SVM), k-nearest neighbor(KNN), and certain traditional methods, are compared with the proposed method.

Novel Meta-Heuristic Model for Discrimination between Iron Deficiency Anemia and B-Thalassemia with CBC Indices Based on Dynamic Harmony Search