Latest AI and machine learning research in practice management for healthcare professionals.
In the last few decades, the algebraic coding theory found widespread applications in various disciplines due to its rich fascinating mathematical structure. Linear codes, the basic codes in coding theory, are significant in data transmission. In this article, the authors' aim is to enlighten the reader about the role of linear codes in a fuzzy environment. Thus, the reader will be aware of linear...
The field of recurrent neural networks is over-populated by a variety of proposed learning rules and protocols. The scope of this work is to define a generalized framework, to move a step forward towards the unification of this fragmented scenario. In the field of supervised learning, two opposite approaches stand out, error-based and target-based. This duality gave rise to a scientific debate on ...
A central challenge in face perception research is to understand how neurons encode face identities. This challenge has not been met largely due to th...
In this paper, the residual convolutional neural network is used to extract the note features in the music score image to solve the problem of model d...
A correct protocol assignment is critical to high-quality imaging examinations, and its automation can be amenable to natural language processing (NLP...
We aimed to explore novel biomarkers involved in alterations of metabolism and gene expression related to the hepatotoxic effects of glycosides table...
INTRODUCTION: Coding medicinal products described on adverse event (AE) reports to specific entries in standardised drug dictionaries, such as WHODrug...
BACKGROUND: The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classific...
This paper introduces memristors realized by molecular and DNA reactions. Molecular memristors process one input molecule, generate two output molecul...
Recent studies have shown that alpha oscillations (8-13 Hz) enable the decoding of auditory spatial attention. Inspired by sparse coding in cortical n...
With the development of the Internet of Vehicles (IoV), attacks to the vehicle-mounted control area network (CAN) have seriously jeopardized the secur...
Whole genome sequencing is increasingly used to diagnose medical conditions of genetic origin. While both coding and non-coding DNA variants contribut...
BACKGROUND: The circadian system is responsible for regulating various physiological activities and behaviors and has been gaining recognition. The ci...
Generative linguistic steganography encodes candidate words with conditional probability when generating text by language model, and then, it selects ...
With the development of Internet economy and the advent of artificial intelligence era, the transformation from financial accounting to management acc...
PURPOSE: Medical artificial intelligence (MAI) is artificial intelligence (AI) applied to the healthcare field. AI can be applied to many different as...
Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. Timely, accurate and complete death reporting is c...
Infants' looking behaviors are often used for measuring attention, real-time processing, and learning-often using low-resolution videos. Despite the u...
BACKGROUND: Nurses record data in electronic health records (EHRs) using different terminologies and coding systems. The purpose of this study was to ...
Context: Qualitative research - crucial for understanding human behavior - remains underutilized, in part due to the time and cost of annotating quali...