A divide and conquer approach for imbalanced multi-class classification and its application to medical decision making
Journal Title: Pakistan Journal of Pharmaceutical Sciences - Year 2016, Vol 29, Issue 2
Abstract
Many real world data contains more than two categories and the number of instances in each category differs greatly. Such as in medical diagnostic data, there may be several types of cancer and each with tens instances, but contains even more normal instances. Similarly, there may be very few abnormal samples in pharmaceutical test but which may cause great harm. Classification of such type of data is often summarized as imbalanced multi-class classification. Most existing researches study multi-class classification and imbalanced data classification separately, few study in a combination way, in particular for medical diagnosis data classification. In the context of medical diagnosis and pharmaceutical test, in this paper, we propose a divide and conquer approach to partition multi-class data and a self-adaptive data resample method for imbalanced data. The proposed methods are tested on 23 UCI datasets in medical, pharmaceutical and other fields. Experiment results show that the proposed methods outperform other compared methods, in particular on those medical and pharmaceutical dataset.
Authors and Affiliations
Hu Li
Keywords
Related Articles
- EP ID EP133601
- DOI -
- Views 89
- Downloads 0
An investigation into the drug release from ibuprofen matrix tablets with ethylcellulose and some poly-acrylate polymers
This study was performed to achieve sustained-release Ibuprofen matrix tablets with a zero-order release kinetic while most of the previous formulations have shown Higuchi release kinetic. Considering the results f...
In vitro antimicrobial activities of different solvent extracted samples from Iris germinica
Antibacterial and antifungal activities of different solvents extracted samples of Iris germinica were carried out through disc diffusion assay. For this purpose five different solvent extracts were prepared with t...
Design of a microbial contamination detector and analysis of error sources in its optical path
Microbial contamination is a growing concern in the food safety today. To effectively control the types and degree of microbial contamination during food production, this paper introduces a design for a microbial c...
Comparative study on resistant pattern of clinical isolates against Levofloxacin and Cefepime
The aim of this study is to evaluate the susceptibility and resistance pattern of clinical isolates causing different types of infections and to compare the efficacy of antibiotics namely Levofloxacin and Cefepime. The i...
Acute toxicity and antispasmodic activities of Achillea wilhelmsii C. Koch
Abstract: Since Achillea wilhelmsii is used as antispasmodic in traditional medicine, we conducted our current work to investigate its rationale on scientific grounds. Acute toxicity studies of crude methanol extra...