The rapid advancement of deep neural networks (DNNs) has significantly transformed
various sectors, demonstrating unparalleled proficiency in managing intricate tasks in …

Objective This study aimed to perform a systematic review to describe the achievements
made by the researchers, summarizing findings that have been found by previous …

More and more applications require early decisions, ie taken as soon as possible from
partially observed data. However, the later a decision is made, the more its accuracy tends …

Clinical recommender systems are increasingly becoming popular for improving modern
healthcare systems. Enterprise systems are persuasively used for creating effective nurse …

The Cardiotocograph (CTG) is being used by the obstetricians since 1960s as a means for
recording (graphy) the heart beat (cardio) and the uterine contraction pressure (toco) of the …

Given the recent emergence of deep neural networks and their remarkable ability to handle
complex tasks across various “elds and modalities, it is expected that fetal monitoring …

The article concerns the detection of outliers in the ECG signal. Premature ventricular and
supraventricular beats are treated as outliers. Our solution is to analyze the distance …

In numerous real-world situations, we have to make early decisions without complete
knowledge of the problem. The issue facing the decision makers is that, usually, the longer …

ABSTRACT The Transferable of data With the ease of technology designs of inverted vee
antenna with best communication link modules in extended level of state in Potential …

Role of computers became inevitable in healthcare sector and computers with information
and communication technologies are found to be widely used for assessment, patient …