Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts
Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …
particularly in sectors such as healthcare, owing to the exponential growth of data and …
IoMT-based wearable body sensors network healthcare monitoring system
Abstract The Internet of Medical Things (IoMT) is the gathering and implementation of
healthcare tools connected to public healthcare technology infrastructure via Internet-based …
healthcare tools connected to public healthcare technology infrastructure via Internet-based …
Detection of diabetic retinopathy and related retinal disorders using fundus images based on deep learning and image processing techniques: A comprehensive …
B Lalithadevi, S Krishnaveni - Concurrency and Computation …, 2022 - Wiley Online Library
Diabetes mellitus is a chronic disorder disease in which a person's body fails to adhere
insulin produced by their pancreas or unable to segregate enough insulin due to harmonic …
insulin produced by their pancreas or unable to segregate enough insulin due to harmonic …
Study of adaboost and gradient boosting algorithms for predictive analytics
Predictive analytics has gained a lot of interest in present era. Statistical methods and
machine learning techniques are applied on historical data to build a predictive model to …
machine learning techniques are applied on historical data to build a predictive model to …
Data Science and Machine Learning Integrated Implementation Patterns for Cavernous Knowledge Discovery from COVID-19 Data
B Prashanth, G Neelima, CS Dule… - IOP Conference …, 2020 - iopscience.iop.org
Pandemic is a well-known term for the year 2020. It's essentially a disease that spreads
across a region or the entire planet. The entire planet appears powerless, and a jerk …
across a region or the entire planet. The entire planet appears powerless, and a jerk …
Machine learning algorithm for cryptocurrencies price prediction
Cryptocurrency has grown outstandingly in recent years. Additional events throughout the
planet have acknowledged the significance of embracing numeral benefits virtually with …
planet have acknowledged the significance of embracing numeral benefits virtually with …
[HTML][HTML] Cyber risk prediction through social media big data analytics and statistical machine learning
A Subroto, A Apriyana - Journal of Big Data, 2019 - Springer
As a natural outcome of achieving equilibrium, digital economic progress will most likely be
subject to increased cyber risks. Therefore, the purpose of this study is to present an …
subject to increased cyber risks. Therefore, the purpose of this study is to present an …
[HTML][HTML] Bio-inspired machine learning approach to Type 2 Diabetes Detection
Type 2 diabetes is a common life-changing disease that has been growing rapidly in recent
years. According to the World Health Organization, approximately 90% of patients with …
years. According to the World Health Organization, approximately 90% of patients with …
CatBoost ensemble approach for diabetes risk prediction at early stages
Diabetes prediction at the early stage is an important issue in the healthcare field and helps
an individual to avoid dangerous situations by initiating treatment. For the prediction of …
an individual to avoid dangerous situations by initiating treatment. For the prediction of …
Investigation on the impact of elevated temperature on sustainable geopolymer composite
Geopolymer concrete (GPC) is an eco-friendly, sustainable, cementless and green concrete.
It could be an alternative to the conventional concrete. In alkaline circumstances, the …
It could be an alternative to the conventional concrete. In alkaline circumstances, the …