Practice Management

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

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Ascertainment of Delirium Status Using Natural Language Processing From Electronic Health Records.

BACKGROUND: Delirium is underdiagnosed in clinical practice and is not routinely coded for billing. ...

The derivation of an International Classification of Diseases, Tenth Revision-based trauma-related mortality model using machine learning.

BACKGROUND: Existing mortality prediction models have attempted to quantify injury burden following ...

DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding.

Long non-coding RNAs (lncRNAs) are a class of RNA molecules with more than 200 nucleotides. A growin...

A Conceptual Framework to Predict Mental Health Patients' Zoning Classification.

Zoning classification is a rating mechanism, which uses a three-tier color coding to indicate percei...

LncRNAWiki 2.0: a knowledgebase of human long non-coding RNAs with enhanced curation model and database system.

LncRNAWiki, a knowledgebase of human long non-coding RNAs (lncRNAs), has been rapidly expanded by in...

The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives.

MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation an...

A method for machine learning generation of realistic synthetic datasets for validating healthcare applications.

Digital health applications can improve quality and effectiveness of healthcare, by offering a numbe...

Understanding challenges of using routinely collected health data to address clinical care gaps: a case study in Alberta, Canada.

High-quality data are fundamental to healthcare research, future applications of artificial intellig...

Predictive Coding, Variational Autoencoders, and Biological Connections.

We present a review of predictive coding, from theoretical neuroscience, and variational autoencoder...

Confidence-Controlled Hebbian Learning Efficiently Extracts Category Membership From Stimuli Encoded in View of a Categorization Task.

In experiments on perceptual decision making, individuals learn a categorization task through trial-...

THE ROLE OF BURSTS IN SENSORY DISCRIMINATION AND RETENTION OF FAVORED INPUTS IN THE CULTURED NEURAL NETWORKS.

The capacity of neural tissue to discriminiate the sensory signals determines how we recognise the w...

Developing and testing an automated qualitative assistant (AQUA) to support qualitative analysis.

Qualitative research remains underused, in part due to the time and cost of annotating qualitative d...

Characterization of multiscale logic operations in the neural circuits.

: Ever since the seminal work by McCulloch and Pitts, the theory of neural computation and its philo...

Machine Learning for Medical Coding in Healthcare Surveys.

Objectives Medical coding, or the translation of healthcare information into numeric codes, is expen...

Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations.

Non-coding RNAs (ncRNAs) play crucial roles in multiple biological processes. However, only a few nc...

A comprehensive survey on computational methods of non-coding RNA and disease association prediction.

The studies on relationships between non-coding RNAs and diseases are widely carried out in recent y...

Combining artificial intelligence: deep learning with Hi-C data to predict the functional effects of non-coding variants.

MOTIVATION: Although genome-wide association studies (GWASs) have identified thousands of variants f...

DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences.

Quantifying DNA properties is a challenging task in the broad field of human genomics. Since the vas...

MLCDForest: multi-label classification with deep forest in disease prediction for long non-coding RNAs.

The long non-coding RNAs (lncRNAs) are subject of intensive recent studies due to its association wi...

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