Practice Management

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

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Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception.

Perception is thought to be shaped by the environments for which organisms are optimized. These infl...

FexRNA: Exploratory Data Analysis and Feature Selection of Non-Coding RNA.

Non-coding RNA (ncRNA) is involved in many biological processes and diseases in all species. Many nc...

DCACNet: Dual context aggregation and attention-guided cross deconvolution network for medical image segmentation.

BACKGROUND AND OBJECTIVE: Segmentation is a key step in biomedical image analysis tasks. Recently, c...

Image Processing Technology in Remote Monitoring and Intelligent Medical System.

In order to study the application of image processing technology in remote monitoring and intelligen...

Research on the Interaction of Genetic Algorithm in Assisted Composition.

Computer-aided composition is an attempt to use a formalized process to minimize human (or composer)...

An Exploratory Approach to Deriving Nutrition Information of Restaurant Food from Crowdsourced Food Images: Case of Hartford.

Deep learning models can recognize the food item in an image and derive their nutrition information,...

Visual prototypes in the ventral stream are attuned to complexity and gaze behavior.

Early theories of efficient coding suggested the visual system could compress the world by learning ...

Non-invasive diagnosis of Crohn's disease based on SERS combined with PCA-SVM.

Crohn's disease (CD) is an idiopathic chronic inflammatory bowel disease without a cure. Most of the...

ICD-11: an international classification of diseases for the twenty-first century.

BACKGROUND: The International Classification of Diseases (ICD) has long been the main basis for comp...

Artificial Intelligence of Things (AIoT) Enabled Floor Monitoring System for Smart Home Applications.

To enable smart homes and relative applications, the floor monitoring system with embedded triboelec...

Protein Abundance Prediction Through Machine Learning Methods.

Proteins are responsible for most physiological processes, and their abundance provides crucial info...

An Intelligent Control Model of Credit Line Computing in Intelligence Health-Care Systems.

Technologies such as machine learning and artificial intelligence have brought about a tremendous ch...

Dual coding of knowledge in the human brain.

How does the human brain code knowledge about the world? While disciplines such as artificial intell...

Machine learning approach to measurement of criticism: The core dimension of expressed emotion.

Expressed emotion (EE), a measure of the family's emotional climate, is a fundamental measure in car...

Deep learning methods for screening patients' S-ICD implantation eligibility.

Subcutaneous Implantable Cardioverter-Defibrillators (S-ICDs) are used for prevention of sudden card...

The Emerging Role of Long Non-Coding RNAs and MicroRNAs in Neurodegenerative Diseases: A Perspective of Machine Learning.

Neurodegenerative diseases (NDs) are characterized by progressive neuronal dysfunction and death of ...

Automated ICD coding for primary diagnosis via clinically interpretable machine learning.

BACKGROUND: Computer-assisted clinical coding (CAC) based on automated coding algorithms has been ex...

Accuracy of Asthma Computable Phenotypes to Identify Pediatric Asthma at an Academic Institution.

OBJECTIVES: Asthma is a heterogenous condition with significant diagnostic complexity, including var...

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