Smart healthcare in the age of AI: recent advances, challenges, and future prospects
The significant increase in the number of individuals with chronic ailments (including the
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …
Diabetes Mellitus Disease Prediction Using Machine Learning Classifiers and Techniques Using the Concept of Data Augmentation and Sampling
Diabetes Mellitus (DM) is emerging as a chronic disease that is predominant disease in
many developing countries including India. The disease is caused when there is …
many developing countries including India. The disease is caused when there is …
A Novel Machine Learning Technique for Diabetic Prediction in IoT-based Healthcare Monitoring System
SAV Jesuraj, R Ganesh, V Manjramkar… - … and Smart Systems …, 2023 - ieeexplore.ieee.org
The successful development of a diagnosis system to identify diabetes in the Internet of
Things (IoT) e-healthcare scenario has gained considerable attention to implement accurate …
Things (IoT) e-healthcare scenario has gained considerable attention to implement accurate …
Ensemble classifier based predictive model for type-2 diabetes mellitus prediction
BS Ahamed, MS Arya… - Machine learning and …, 2023 - api.taylorfrancis.com
Type-2 Diabetes-Mellitus (T2DM) is a chronic disease that affects many people's day to day
lives [1]. There are various factors involved such as Age, Family History, Pregnancy, Body …
lives [1]. There are various factors involved such as Age, Family History, Pregnancy, Body …
Recent advancement of block chain in health care
K Mukhopadhyay, S Chattopadhyay… - AIP Conference …, 2023 - pubs.aip.org
Block chain is one of the burning research topics which is fully decentralized digital
procedure for data exchange in a secure and protective way. There are other names of the …
procedure for data exchange in a secure and protective way. There are other names of the …
Internet of Things Heart Disease Detection with Machine Learning and EfficientNet-B0
D Akila, M Thyagaraj, D Senthil, S Adhikari… - … Conference on Micro …, 2023 - Springer
Heart disease is the main cause of mortality across all age groups in the modern world.
Thus, the necessity for improving heart attack prediction utilizing various machine learning …
Thus, the necessity for improving heart attack prediction utilizing various machine learning …
COVID-19 case analysis in India using EDA and its prediction
This paper is a study about COVID-19 cases in India to analyze and visualize the spread of
COVID-19 cases in INDIA. For the analysis, the concept Exploratory Data Analysis (EDA) …
COVID-19 cases in INDIA. For the analysis, the concept Exploratory Data Analysis (EDA) …
A Data-Driven Analytical Approach on Digital Adoption and Digital Policy for Pharmaceutical Industry in India
A Rana, B Sarkar, RK Parida, S Adhikari… - … Conference on Micro …, 2023 - Springer
The Indian pharmaceutical industry has witnessed exponential growth over the past few
decades to become the third largest globally in volume terms and a leading supplier of …
decades to become the third largest globally in volume terms and a leading supplier of …
Sensor Infused Quantum CNN for Diabetes Disease Prediction and Diet Recommendation
Diabetes management requires evidence-based recommendations that enable people to
manage their health. A rising diabetes rate can lead to significant health risks and financial …
manage their health. A rising diabetes rate can lead to significant health risks and financial …
A Hybrid Approach for Diabetes Detection: Ensembling Deep Belief Network with Voting Classifier
V Usha, T Ammannamma, K Surendra… - … Conference on Data …, 2023 - Springer
Diabetes mellitus, a chronic metabolic disorder, poses a significant global health challenge.
Early and accurate detection of diabetes is crucial for timely intervention and effective …
Early and accurate detection of diabetes is crucial for timely intervention and effective …