Predicting chronic kidney disease using machine learning algorithms
In the modern era, everyone tries to be aware of their health, but because of their workload
and hectic schedules, they only pay attention to it when certain symptoms appear. However …
and hectic schedules, they only pay attention to it when certain symptoms appear. However …
Heart disease detection using ml
Hearth disease is one of the leading causes of death globally and a common disease in the
middle and old ages. Among all heart diseases, heart attack and strokes are the most …
middle and old ages. Among all heart diseases, heart attack and strokes are the most …
Machine Learning-Based Relative Performance Analysis for Breast Cancer Prediction
The current high population growth in medical research has made early disease
identification an urgent issue. The danger of dying from breast cancer is increasing …
identification an urgent issue. The danger of dying from breast cancer is increasing …
SARS CovidAID: Automatic detection of SARS CoV-19 cases from CT scan images with pretrained transfer learning model (VGG19, RESNet50 and DenseNet169) …
The COVID-19 outbreak has presented significant challenges to medical professionals
worldwide and underscored the need for accurate and effective detection methods due to its …
worldwide and underscored the need for accurate and effective detection methods due to its …
A comparative study of machine learning approaches for heart stroke prediction
The majority of strokes are triggered by the heart and brain blocking expected pathways.
Today, it is the most common cause of death in the worldwide. By looking at the people …
Today, it is the most common cause of death in the worldwide. By looking at the people …
The application and comparison of Deep Learning models for the prediction of chest cancer prognosis
Lung cancers of all varieties, esophageal cancers, and cancers of the mediastinum (the area
between the lungs), pleura (the membrane lining the chest cavity and surrounding the …
between the lungs), pleura (the membrane lining the chest cavity and surrounding the …
Bioinformatics Approaches for Structural and Functional Annotation of an Uncharacterized Protein of Helicobacter pylori
Helicobacter pylori (H. pylori) is a Gram-negative, slow-growing bacterium, microaerophilic,
and a unique gastric pathogen that causes chronic inflammation in the gastric mucosa with …
and a unique gastric pathogen that causes chronic inflammation in the gastric mucosa with …
Homology modeling and Structural docking analysis on a human BDNF gene by using Computational algorithms
K Ramzan, S Sabri, DS Alshaya, S Ramzan, MS Khan… - 2024 - researchsquare.com
Brain-derived neurotrophic factor, a protein belonging to the neurotrophin family, interacts
with receptors known as TrkB and p75NTR that are present in the nervous system. A BDNF …
with receptors known as TrkB and p75NTR that are present in the nervous system. A BDNF …
Computational Approaches for Structure-Based Functional Annotation of an Uncharacterized Conserved Protein of Acinetobacter baumannii
Acinetobacter baumannii (A. baumannii) is an example of an opportunistic pathogen that is
generally harmless to healthy individuals but can cause serious infections, such as ventilator …
generally harmless to healthy individuals but can cause serious infections, such as ventilator …
A Bioinformatic Approach for Molecular Characterization and Functional Annotation of an Uncharacterized Protein from Vibrio cholerae
With inadequate water purification and sewage disposal systems, cholera poses a
significant health threat in develo** nations. Vibrio cholerae (V. cholerae) is one of the …
significant health threat in develo** nations. Vibrio cholerae (V. cholerae) is one of the …