Comprehensive performance assessment of deep learning models in early prediction and risk identification of chronic kidney disease

S Akter, A Habib, MA Islam, MS Hossen… - IEEE …, 2021 - ieeexplore.ieee.org
The incidence of chronic kidney disease (CKD) is rising rapidly around the globe.
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …

Deep learning predictive model for colon cancer patient using CNN-based classification

Z Tasnim, S Chakraborty… - International …, 2021 - researchers.cdu.edu.au
In recent years, the area of Medicine and Healthcare has made significant advances with the
assistance of computational technology. During this time, new diagnostic techniques were …

[HTML][HTML] Convergence of Blockchain, k-medoids and homomorphic encryption for privacy preserving biomedical data classification

S Akter, F Reza, M Ahmed - Internet of Things and Cyber-Physical Systems, 2022 - Elsevier
Data privacy on the Internet of Medical Things (IoMT) remains a critical concern when
handling biomedical data. While extant studies focus on cryptography and differential …

Antibacterial, antidiabetic, acute toxicity, antioxidant, and nephroproductive competence of extracts of Lannea coromandelica fruit through in-vitro and in-vivo animal …

HA Ha, MK Al-Sadoon, M Saravanan… - Environmental Research, 2024 - Elsevier
The anti-dermatophytic (Proteus vulgaris, Klebsiella pneumoniae, Enterobacter aerogenes,
Propionibacterium acnes, Staphylococcus aureus, and Streptococcus pyogenes) and …

[PDF][PDF] Ovothiol-a isolated from sea urchin eggs suppress oxidative stress, inflammation, and dyslipidemia resulted in restoration of liver activity in cholestatic rats

NMK Madany, MR Shehata… - … Res. Appl. Chem, 2022 - biointerfaceresearch.com
Cholestasis is dropping in bile flow, leading to the intrahepatic bulk of bile acids and other
poisonous compounds with the progression of liver pathology, including hepatocellular …

An interpretable stacking ensemble learning framework based on multi-dimensional data for real-time prediction of drug concentration: the example of olanzapine

X Zhu, J Hu, T Xiao, S Huang, Y Wen… - Frontiers in …, 2022 - frontiersin.org
Background and Aim: Therapeutic drug monitoring (TDM) has evolved over the years as an
important tool for personalized medicine. Nevertheless, some limitations are associated with …

Effect of Fipronil Exposure on Hematological Aspects of Rhesus Monkeys (Macaca mulatta): Risk and Toxicity Assessment in Agro-Workers

NH Khan, E Jiang, IZ Qureshi - Journal of Inflammation Research, 2023 - Taylor & Francis
Background Fipronil (FPN) is a broad-spectrum phenylpyrazole insecticide, widely used in
agriculture and veterinary medicine. Published research on FPN toxicity has established the …

A Transfer Learning Approach for Face Recognition Using Average Pooling and MobileNetV2

FM Javed Mehedi Shamrat, S Chakraborty… - Congress on Intelligent …, 2022 - Springer
Facial recognition is a fundamental method in facial-related science such as face detection,
authentication, monitoring, and a crucial phase in computer vision and pattern recognition …

Liver Disease Diagnosis using Tree-Based Machine Learning Algorithms

E Gad, M Abou Khatwa, S Soliman… - 2022 4th Novel …, 2022 - ieeexplore.ieee.org
Liver Disease (LD) is a lethal yet relatively common disorder that is impacting the lives of
millions across the world, causing slow yet irreversible internal organ damage or total organ …

Y90 Radyoembolizasyon Tedavisinde Makine Öğrenmesi ile Aktivite Tahmini

HT Kökkülünk, E Alataş, H Tanyıldızı - Fırat Üniversitesi Mühendislik …, 2023 - dergipark.org.tr
İtriyum-90 (Y90) radyoembolizasyonu primer ve metastatik karaciğer kanseri tedavisinde
kullanılan bir yöntemdir. Tedavide, Y90 aktivite miktarının (MBq) hastaya spesifik dozimetri …