Machine learning in detection and classification of leukemia using smear blood images: a systematic review

M Ghaderzadeh, F Asadi, A Hosseini… - Scientific …, 2021 - Wiley Online Library
Introduction. The early detection and diagnosis of leukemia, ie, the precise differentiation of
malignant leukocytes with minimum costs in the early stages of the disease, is a major …

Machine learning in detection and classification of leukemia using C-NMC_Leukemia

FM Talaat, SA Gamel - Multimedia Tools and Applications, 2024 - Springer
A significant issue in the field of illness diagnostics is the early detection and diagnosis of
leukemia, that is, the accurate distinction of malignant leukocytes with minimal costs in the …

Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia

MM Islam, MJ Alam, M Maniruzzaman, NAMF Ahmed… - PLoS …, 2023 - journals.plos.org
Background and objectives Hypertension (HTN), a major global health concern, is a leading
cause of cardiovascular disease, premature death and disability, worldwide. It is important to …

Effectiveness of machine learning in detecting early-stage leukemia

K Gupta, N Jiwani, P Whig - … : Proceedings of ICICC 2022, Volume 2, 2022 - Springer
The early identification and diagnosis of leukemia, ie, the exact distinction of malignant
leukocytes at the lowest possible cost in the early stages of the disease, is a key challenge …

iMethyl-STTNC: Identification of N6-methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences

S Akbar, M Hayat - Journal of theoretical biology, 2018 - Elsevier
Abstract N 6-methyladenosine (m 6 A) is a vital post-transcriptional modification, which adds
another layer of epigenetic regulation at RNA level. It chemically modifies mRNA that effects …

Cost estimation in road construction using artificial neural network

K Tijanić, D Car-Pušić, M Šperac - Neural Computing and Applications, 2020 - Springer
Road construction projects on the territory of the Republic of Croatia are characterized by
the overrun of planned costs. The experience of the contractor on previous road projects is …

A2M-LEUK: attention-augmented algorithm for blood cancer detection in children

FM Talaat, SA Gamel - Neural Computing and Applications, 2023 - Springer
Leukemia is a malignancy that affects the blood and bone marrow. Its detection and
classification are conventionally done through labor-intensive and specialized methods. The …

Effect of fuzzy partitioning in Crohn's disease classification: a neuro-fuzzy-based approach

SS Ahmed, N Dey, AS Ashour, D Sifaki-Pistolla… - Medical & biological …, 2017 - Springer
Crohn's disease (CD) diagnosis is a tremendously serious health problem due to its
ultimately effect on the gastrointestinal tract that leads to the need of complex medical …

Management of covid-19 detection using artificial intelligence in 2020 pandemic

M Ghaderzadeh, M Aria - … of the 5th international conference on medical …, 2021 - dl.acm.org
Successful early detection of Covid-19 disease plays an important role in improving the
effectiveness of treatment and managing the pandemic. Various diagnostic methods for the …

Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC

S Ahmad, M Kabir, M Hayat - Computer methods and programs in …, 2015 - Elsevier
Abstract Heat Shock Proteins (HSPs) are the substantial ingredients for cell growth and
viability, which are found in all living organisms. HSPs manage the process of folding and …