Artificial intelligence-assisted diagnostic cytology and genomic testing for hematologic disorders

L Gedefaw, CF Liu, RKL Ip, HF Tse, MHY Yeung… - Cells, 2023 - mdpi.com
Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the
development of computational programs that can mimic human intelligence. In particular …

Diagnosis and screening of abnormal hemoglobins

A Sani, MI Khan, S Shah, Y Tian, G Zha, L Fan… - Clinica Chimica …, 2024 - Elsevier
Hemoglobin (Hb) abnormalities, such as thalassemia and structural Hb variants, are among
the most prevalent inherited diseases and are associated with significant mortality and …

Iron deficiency anemia detection using machine learning models: A comparative study of fingernails, palm and conjunctiva of the eye images

JW Asare, P Appiahene, ET Donkoh… - Engineering …, 2023 - Wiley Online Library
Anemia is one of the global public health challenges that particularly affect children and
pregnant women. A study by WHO indicates that 42% of children below the age of 6 and …

BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification

MS Ullah, MA Khan, NA Almujally, M Alhaisoni… - Scientific Reports, 2024 - nature.com
A significant issue in computer-aided diagnosis (CAD) for medical applications is brain
tumor classification. Radiologists could reliably detect tumors using machine learning …

[HTML][HTML] Detection of anaemia using medical images: A comparative study of machine learning algorithms–A systematic literature review

JW Asare, P Appiahene, ET Donkoh - Informatics in Medicine Unlocked, 2023 - Elsevier
Background Anaemia is a global public health challenge that affects children and pregnant
women. Anaemia develops when the body's supply of red blood cells declines or when the …

[HTML][HTML] Application of ensemble models approach in anemia detection using images of the palpable palm

P Appiahene, SSD Dogbe, EEY Kobina… - Medicine in Novel …, 2023 - Elsevier
Anemia is a public health issue with serious ramifications for human health globally. Anemia
particularly affects pregnant women and children from 6 to 59 months old even though every …

A harmful disorder: Predictive and comparative analysis for fetal Anemia disease by using different machine learning approaches

M Hasan, MS Tahosin, A Farjana… - … on Digital Forensics …, 2023 - ieeexplore.ieee.org
Anemia is a major issue for public health with significant implications for national
development, it remains a largely neglected health problem in many developing countries …

[PDF][PDF] Implementation of machine learning and deep learning models based on structural MRI for identification autism spectrum disorder

DCE Saputra, Y Maulana, TA Win… - Jurnal Ilmiah Teknik …, 2023 - researchgate.net
Autism spectrum disorder (ASD) is a developmental disability resulting from neurological
disparities. People with ASD frequently struggle with communication, social interaction, and …

[PDF][PDF] Anemia detection and classification from blood samples using data analysis and deep learning

N Bhaskarrao Bahadure, R Khomane… - Automatika: časopis za …, 2024 - hrcak.srce.hr
Anemia detection and classification from blood samples using data analysis and deep learning*
Page 1 Automatika Journal for Control, Measurement, Electronics, Computing and Communications …

Multidisciplinary approaches to study anaemia with special mention on aplastic anaemia

D Sankar, IR Oviya - International Journal of Molecular …, 2024 - spandidos-publications.com
Anaemia is a common health problem worldwide that disproportionately affects vulnerable
groups, such as children and expectant mothers. It has a variety of underlying causes, some …