This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …

Context Acute leukaemia diagnosis is a field requiring automated solutions, tools and
methods and the ability to facilitate early detection and even prediction. Many studies have …

This paper aims to assist the administration departments of medical organisations in making
the right decision on selecting a suitable multiclass classification model for acute leukaemia …

DNA data are important in the bioinformatic domain. To extract useful information from the
enormous collection of DNA sequences, DNA clustering is often adopted to efficiently deal …

Microarray cancer datasets generally contain many features with a small number of
samples, so initially we need to reduce redundant features to allow faster convergence. To …

Data microarray digunakan sebagai alternatif untuk diagnosa penyakit kanker karena
kesulitan dalam dignosa kanker berdasarkan bentuk morfologis, yaitu perbedaan morfologis …

This study proposes a framework with preprocessing techniques namely Missing value
replacement, Discretization, Principal Component Analysis (PCA) to extract the key features …

Based on the data published by World Health Organization, cancer is the second leading
reason of death universally. In 2015, about 8.8 million deaths were caused by cancer …