Pronab Ghosh, Sami Azam, Mirjam Jonkman, Asif Karim et al.
Cardiovascular diseases (CVD) are among the most common serious illnesses affecting human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce mortality rates. Identifying risk factors using machine learning models is a promising approach. We would like to propose a mod...
F. M. Javed Mehedi Shamrat, Shamima Akter, Sami Azam, Asif Karim et al.
Alzheimer’s disease is largely the underlying cause of dementia due to its progressive neurodegenerative nature among the elderly. The disease can be divided into five stages: Subjective Memory Concern (SMC), Mild Cognitive Impairment (MCI), Early MCI (EMCI), Late MCI (LMCI), and Alzheimer’s Disease...
F. M. Javed Mehedi Shamrat, Sami Azam, Asif Karim, Md. Rakibul Islam et al.
In recent years, lung disease has increased manyfold, causing millions of casualties annually. To combat the crisis, an efficient, reliable, and affordable lung disease diagnosis technique has become indispensable. In this study, a multiclass classification of lung disease from frontal chest X-ray i...
Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Pronab Ghosh et al.
BACKGROUND: Identification and treatment of breast cancer at an early stage can reduce mortality. Currently, mammography is the most widely used effective imaging technique in breast cancer detection. However, an erroneous mammogram based interpretation may result in false diagnosis rate, as disting...
Pronab Ghosh, F. M. Javed Mehedi Shamrat, Shahana Shultana, Saima Afrin et al.
Chronic Kidney disease (CKD), a slow and late-diagnosed disease, is one of the most important problems of mortality rate in the medical sector nowadays. Based on this critical issue, a significant number of men and women are now suffering due to the lack of early screening systems and appropriate ca...
Pronab Ghosh, Sami Azam, Khan Md. Hasib, Asif Karim et al.
Breast Cancer is one of the leading causes of death worldwide. Early detection is very important in increasing survival rates. Intensive research is therefore done to improve early detection of such cancers through the use of available technology. This includes various image processing techniques an...
Pronab Ghosh, Sami Azam, Asif Karim, Mehedi Hassan et al.
A significant proportion of people around the world are currently suffering from the harmful effects of diabetes and a considerable number of them not being identified at an early stage. Over time this may result in serious health problem such as blindness and kidney failure. To accurately classify ...
F. M. Javed Mehedi Shamrat, Pronab Ghosh, Mahbubul Hasan Sadek, Md. Aslam Kazi et al.
The chronic kidney disease is the loss of kidney function. Often time, the symptoms of the disease is not noticeable and a significant amount of lives are lost annually due to the disease. Using machine learning algorithm for medical studies, the disease can be predicted with a high accuracy rate an...
Pronab Ghosh, Sami Azam, Ryana Quadir, Asif Karim et al.
Skin cancer these days have become quite a common occurrence especially in certain geographic areas such as Oceania. Early detection of such cancer with high accuracy is of utmost importance, and studies have shown that deep learning- based intelligent approaches to address this concern have been fr...
Chaity Mondol, F. M. Javed Mehedi Shamrat, Md. Robiul Hasan, Saidul Alam et al.
Chronic kidney disease (CKD) is one of the most life-threatening disorders. To improve survivability, early discovery and good management are encouraged. In this paper, CKD was diagnosed using multiple optimized neural networks against traditional neural networks on the UCI machine learning dataset,...
Pronab Ghosh, Sami Azam, Asif Karim, Mirjam Jonkman et al.
Cardiovascular disease has become one of the world's major causes of death. Accurate and timely diagnosis is of crucial importance. We constructed an intelligent diagnostic framework for prediction of heart disease, using the Cleveland Heart disease dataset. We have used three machine learning appro...
Pronab Ghosh, Asif Karim, Syeda Tanjila Atik, Saima Afrin et al.
One of the most critical issues of the mortality rate in the medical field in current times is breast cancer. Nowadays, a large number of men and women is facing cancer-related deaths due to the lack of early diagnosis systems and proper treatment per year. To tackle the issue, various data mining a...
Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Sayma Islam et al.
The complex feature characteristics and low contrast of cancer lesions, a high degree of inter-class resemblance between malignant and benign lesions, and the presence of various artifacts including hairs make automated melanoma recognition in dermoscopy images quite challenging. To date, various co...
F. M. Javed Mehedi Shamrat, Zarrin Tasnim, Pronab Ghosh, Anup Majumder et al.
While looking for jobs, job seekers like to register themselves in different job portal that has a huge number of job circulars. As from all the job circulars, it is easier to look for the job of their liking. At the same time, these job portals gather some information on the jobseekers that they us...
Ananda Sutradhar, Mustahsin Al Rafi, Pronab Ghosh, F. M. Javed Mehedi Shamrat et al.
The widespread impact of thyroid disease and its diagnosis is a challenging task for healthcare experts. The conventional technique for predicting such a vital disease is complex and time-consuming. A data-driven approach may offer predictive solutions, but it relies on all relevant attributes, whic...