Practice Management

Latest AI and machine learning research in practice management for healthcare professionals.

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A Dynamic Community Detection Method for Complex Networks Based on Deep Self-Coding Network.

Aiming at the problem of community detection in complex dynamic networks, a dynamic community detect...

Early Termination Based Training Acceleration for an Energy-Efficient SNN Processor Design.

In this paper, we present a novel early termination based training acceleration technique for tempor...

An Analysis of Algebraic Codes over Lattice Valued Intuitionistic Fuzzy Type-3 -Submodules.

In the last few decades, the algebraic coding theory found widespread applications in various discip...

Error-based or target-based? A unified framework for learning in recurrent spiking networks.

The field of recurrent neural networks is over-populated by a variety of proposed learning rules and...

Face identity coding in the deep neural network and primate brain.

A central challenge in face perception research is to understand how neurons encode face identities....

Design of Neural Network Model for Cross-Media Audio and Video Score Recognition Based on Convolutional Neural Network Model.

In this paper, the residual convolutional neural network is used to extract the note features in the...

Metabonomic and transcriptomic analyses of glycosides tablet-induced hepatotoxicity in rats.

We aimed to explore novel biomarkers involved in alterations of metabolism and gene expression relat...

Automated Drug Coding Using Artificial Intelligence: An Evaluation of WHODrug Koda on Adverse Event Reports.

INTRODUCTION: Coding medicinal products described on adverse event (AE) reports to specific entries ...

Overview of ICD-11 architecture and structure.

BACKGROUND: The International Classification of Diseases (ICD) has progressed from a short list of c...

DNA Memristors and Their Application to Reservoir Computing.

This paper introduces memristors realized by molecular and DNA reactions. Molecular memristors proce...

A neuroscience-inspired spiking neural network forĀ EEG-based auditory spatial attention detection.

Recent studies have shown that alpha oscillations (8-13 Hz) enable the decoding of auditory spatial ...

MRCON-Net: Multiscale reweighted convolutional coding neural network for low-dose CT imaging.

BACKGROUND AND OBJECTIVE: Low-dose computed tomography (LDCT) has become increasingly important for ...

A multi-attack intrusion detection model based on Mosaic coded convolutional neural network and centralized encoding.

With the development of the Internet of Vehicles (IoV), attacks to the vehicle-mounted control area ...

Classification of non-coding variants with high pathogenic impact.

Whole genome sequencing is increasingly used to diagnose medical conditions of genetic origin. While...

Building a model for predicting metabolic syndrome using artificial intelligence based on an investigation of whole-genome sequencing.

BACKGROUND: The circadian system is responsible for regulating various physiological activities and ...

MTS-Stega: Linguistic Steganography Based on Multi-Time-Step.

Generative linguistic steganography encodes candidate words with conditional probability when genera...

Research on the Transformation from Financial Accounting to Management Accounting Based on Drools Rule Engine.

With the development of Internet economy and the advent of artificial intelligence era, the transfor...

The neural coding framework for learning generative models.

Neural generative models can be used to learn complex probability distributions from data, to sample...

The variant artificial intelligence easy scoring (VARIES) system.

PURPOSE: Medical artificial intelligence (MAI) is artificial intelligence (AI) applied to the health...

Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics.

Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. ...

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