Detecting heart arrhythmias using deep learning algorithms
An electrocardiogram measures the electrical activity of the heart and has been widely used
for detecting heart diseases due to its simplicity and non‐invasive nature. It is possible to …
for detecting heart diseases due to its simplicity and non‐invasive nature. It is possible to …
Deconstructive human Confront Acknowledgment Utilizing Profound Neural Arrange
RK Dubey, DK Choubey - International Conference on Information …, 2021 - Springer
Face reconstruction or face optimization as a biometric, has a several advantages in forensic
application. The size and structure of face are static of an individual. For reliable human face …
application. The size and structure of face are static of an individual. For reliable human face …
Prediction of Liver Disease Using Soft Computing and Data Science Approaches
The liver is the most important and one of the largest organs in the body. The Liver serves a
number of functions, making it vital to the human body. When the Liver's regular functions …
number of functions, making it vital to the human body. When the Liver's regular functions …
A comparative study using machine learning and data mining approach for leukemia
A Parthvi, K Rawal, DK Choubey - … International Conference on …, 2020 - ieeexplore.ieee.org
Leukemia is a type of blood cancer which impacts the white blood cells and damages the
bone marrow. Usually the Complete Blood Count (CBC) and bone marrow get affected. It …
bone marrow. Usually the Complete Blood Count (CBC) and bone marrow get affected. It …
Implementation of a hybrid classification method for diabetes
This chapter presents a best classification of diabetes. The proposed approach work
consists in two stages. In the first stage the Pima Indian diabetes dataset is obtained from the …
consists in two stages. In the first stage the Pima Indian diabetes dataset is obtained from the …
A comparative study of computational intelligence for identification of breast cancer
D Sharma, P Jain, DK Choubey - … , MIND 2020, Silchar, India, July 30-31 …, 2020 - Springer
Breast cancer is a type of invasive cancer that occurs in women. Breast cancer accounts for
18% of all cancer related deaths among women according to World Health Organization …
18% of all cancer related deaths among women according to World Health Organization …
[PDF][PDF] A survey study support vector machines and kmean algorithms for diabetes dataset
NI Alghurair - Academic Journal of Research and Scientific …, 2020 - academia.edu
Diabetes is actually one of the primary causes of human mortality. Diabetes is a intense
disease affecting various parts of the human body. Diabetes can rise long-range …
disease affecting various parts of the human body. Diabetes can rise long-range …
A two-step knowledge extraction framework for improving disease diagnosis
BK Sarkar - The Computer Journal, 2020 - academic.oup.com
In the last decades, various methodologies have been proposed by the researchers for
developing effective disease diagnosis support systems (DDSSs). The present research …
developing effective disease diagnosis support systems (DDSSs). The present research …
A multilingual decision support system for early detection of diabetes using machine learning approach: case study for rural Indian people
E Ramanujam, T Chandrakumar… - … on Research in …, 2020 - ieeexplore.ieee.org
More than 77 million people in India are influenced by diabetes mellitus and a significant
number of them are under risk with specific complications, for instance cardiovascular …
number of them are under risk with specific complications, for instance cardiovascular …
Soft computing techniques for dengue prediction
DK Choubey, A Mishra, SK Pradhan… - 2021 10th IEEE …, 2021 - ieeexplore.ieee.org
Dengue is a mosquito borne viral disease which occurs frequently affecting in large
numbers of people in the tropical and sub-tropical regions. The disease requires medical …
numbers of people in the tropical and sub-tropical regions. The disease requires medical …