Abstract Aims/Introduction Recently, an increasing number of cohort studies have suggested
using machine learning (ML) to predict type 2 diabetes mellitus. However, its predictive …

Multimodal sensors in healthcare applications have been increasingly researched because
it facilitates automatic and comprehensive monitoring of human behaviors, high-intensity …

Anemia, especially among children, is a serious public health problem in Bangladesh. Apart
from understanding the factors associated with anemia, it may be of interest to know the …

Plasma is defined as the fourth state of matter, and non-thermal plasma can be produced at
atmospheric pressure under a high electrical field. The strong and broad-spectrum …

Car crash can cause serious and severe injuries that impact people every day. Those
injuries could be especially damaging for elderly drivers of age 60 or more. The goal of this …

Diabetes mellitus is one of the deadliest and chronic diseases that affect persons who have
an increase in their blood glucose levels. Type 1 Diabetes Mellitus “T1DM” is considered …

Objective To identify predictors of prediabetes using feature selection and machine learning
on a nationally representative sample of the US population. Materials and Methods We …

Introduction Childhood vaccination is a cost-effective public health intervention to reduce
child mortality and morbidity. But, vaccination coverage remains low, and previous similar …

Despite the increasing use of protoplasts in plant biotechnology research, shoot
regeneration from protoplasts remains challenging. In this study, we investigated the factors …

Machine learning is expected to fuel significant improvements in medical care. To ensure
that fundamental principles such as beneficence, respect for human autonomy, prevention of …