Systematic review on ai-blockchain based e-healthcare records management systems

A Haddad, MH Habaebi, MR Islam, NF Hasbullah… - IEEE …, 2022 - ieeexplore.ieee.org
Electronic health records (EHRs) are digitally saved health records that provide information
about a person's health. EHRs are generally shared among healthcare stakeholders, and …

Integration of machine learning algorithms and discrete-event simulation for the cost of healthcare resources

A Atalan, H Şahin, YA Atalan - Healthcare, 2022 - mdpi.com
A healthcare resource allocation generally plays a vital role in the number of patients treated
(pnt) and the patient waiting time (wt) in healthcare institutions. This study aimed to estimate …

Forecasting the risk factor of frontier markets: A novel stacking ensemble of neural network approach

MS Akter, H Shahriar, R Chowdhury, MRC Mahdy - Future Internet, 2022 - mdpi.com
Forecasting the risk factor of the financial frontier markets has always been a very
challenging task. Unlike an emerging market, a frontier market has a missing parameter …

Implementation of logistic regression on diabetic dataset using train-test-split, k-fold and stratified k-fold approach

M Bhagat, B Bakariya - National Academy Science Letters, 2022 - Springer
Diabetes is a chronic metabolic disorder causing high blood sugars, that further severely
affect body parts like the heart, liver, kidneys, lungs, eyes, nerves, blood vessels etc. There …

Artificial Intelligence-Assisted Diagnosis for Early Intervention Patients

I Sierra, N Díaz-Díaz, C Barranco, R Carrasco-Villalón - Applied Sciences, 2022 - mdpi.com
The use of artificial intelligence to aid decision making is widely adopted today. Its
application is found in different areas, among which the medical one is the most disruptive …

Prominent Prediction Model for Chronic Diabetes Disease Using Machine Learning

G Singh, J Singh, M Gahlawat - 2022 6th International …, 2022 - ieeexplore.ieee.org
Diabetes is a critical health problem in the twenty-first century that needs special attention
and community health care programs. Even among children, diabetes is a condition that is …

Risk Association of Liver Cancer and Hepatitis B with Tree Ensemble and Lifestyle Features

E Koh, Y Kim - International journal of environmental research and …, 2022 - mdpi.com
The second-largest cause of death by cancer in Korea is liver cancer, which leads to acute
morbidity and mortality. Hepatitis B is the most common cause of liver cancer. About 70% of …

Diabetes disease prediction using classification algorithms

T Sangien, T Bhat, MS Khan - Internet of Things and Its Applications …, 2022 - Springer
Diabetes mellitus is a clinical syndrome characterized by hyperglycemia due to absolute or
relative deficiency of insulin. Hyperglycemia is the increase in blood glucose concentration …

Simple method to predict insulin resistance in children aged 6–12 years by using machine learning

Q Zhang, N Wan - … , Metabolic Syndrome and Obesity: Targets and …, 2022 - Taylor & Francis
Background Due to the increasing insulin resistance (IR) in childhood, rates of diabetes and
cardiovascular disease may rise in the future and seriously threaten the healthy …

Prediction of diabetes mellitus using machine learning

SS Bhat, GA Ansari - Machine Learning and Deep Learning in …, 2022 - taylorfrancis.com
Hyperglycemia is a health problem defined by hypertension that usually affects a person
with an age too young or too old. Authors found that it is difficult to identify the disease from …