XRP is riding a wave of renewed altcoin momentum on Wednesday, February 18, as capital rotates away from Bitcoin (BTC) and the broader market indicators suggest risk appetite is shifting. Indeed, the ...

Abstract: This paper analyzes the performance of different LDA combinations with machine learning algorithms in predicting diabetes based on clinical data. The analysis involves patient records with ...

After apparently promising a climb back to $100,000 for about a week, Bitcoin (BTC) suddenly reversed late on Sunday, January 18, and ended up trading at $93,013 by press time on Monday. BTC price ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

Osteoporosis is a metabolic bone disease characterized by a decrease in the amount of bone per unit volume. It is highly prevalent and has a harsh impact on patients' lives. The development of ...

Multilayer Perceptron (MLP) is a combination of multiple perceptron models. An MLP consists of at least three layers of perceptrons, that is, an input layer, a hidden layer, and an output layer, which ...

ABSTRACT: Egg loss is one of the major problems in the egg hatching industry. This study aims to support farmers in optimizing their egg hatch through the development of a prediction model. This is to ...

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...