The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on disease prediction and diagnosis using machine learning and AI — covering heart, liver, kidney, respiratory, skin, and infectious disease prediction models.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
Respiratory diseases are one of the most prevalent acute and chronic ailments worldwide. According to a recent survey, there were around 545 million cases of chronic respiratory diseases worldwide. Chronic respiratory di…
The identification and diagnosis of liver diseases hold significant importance within the domain of digital pathology research. Various methods have been explored in the literature to address this crucial task, with deep…
Globally, lung cancer remains the leading cause of cancer-related deaths, with early detection significantly improving survival rates. Developing robust machine learning models for early detection necessitates access to…
Using the Arduino platform under the Internet of Things (IoT) platform to diagnose individuals at risk of heart diseases. An enormous volume of data focus has been placed on delivering high-quality healthcare in response…
This research investigates the application of open-source transformers, specifically the ConvNeXt V2 and Seg-former models, for brain tumor classification and segmentation in medical imaging. The ConvNeXt V2 model is ada…
Occupational diseases present a significant global challenge, affecting a vast number of workers. Accurate prediction of occupational disease incidence is crucial for effective prevention and control measures. Although d…
Deep learning models known as Generative Adversarial Networks (GANs) have shown great potential in several applications, such as computer vision and image synthesis. They are now a viable tool in medical imaging, useful…
“Food is the most important thing for the people”, Food is intricately linked to both the national economy and the livelihood of the people, serving as a vital material for our daily existence. Wheat, standing as one of…
Early illness diagnosis, treatment monitoring, and healthcare administration all depend heavily on the identification of abnormalities in medical data. This paper proposes a unique way to improve healthcare anomaly detec…
Ethereum has gained significant attention from businesses as a blockchain technology since its conception. Beyond the first use of cryptocurrencies, it provides many additional features. In the pharmaceutical sector, whe…
