Practice Management

Interpretable deep learning to map diagnostic texts to ICD-10 codes.

BACKGROUND: Automatic extraction of morbid disease or conditions contained in Death Certificates is ...

Machine learning for prediction of sudden cardiac death in heart failure patients with low left ventricular ejection fraction: study protocol for a retroprospective multicentre registry in China.

INTRODUCTION: Left ventricular ejection fraction (LVEF) ≤35%, as current significant implantable car...

A cross-lingual approach to automatic ICD-10 coding of death certificates by exploring machine translation.

Automatic ICD-10 coding is an unresolved challenge in terms of Machine Learning tasks. Despite hospi...

Gene pathogenicity prediction of Mendelian diseases via the random forest algorithm.

The study of Mendelian diseases and the identification of their causative genes are of great signifi...

Importance of coding co-morbidities for APR-DRG assignment: Focus on cardiovascular and respiratory diseases.

BACKGROUND: The All Patient-Refined Diagnosis-Related Groups (APR-DRGs) system has adjusted the basi...

Predicting miRNA-lncRNA interactions and recognizing their regulatory roles in stress response of plants.

It has been found that each non-coding RNA (ncRNA) can act not only through its target gene, but als...

A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence.

Protein-protein interactions (PPIs) play a crucial role in the life-sustaining activities of organis...

Hybrid model for efficient prediction of poly(A) signals in human genomic DNA.

Polyadenylation signals (PAS) are found in most protein-coding and some non-coding genes in eukaryot...

Design feasibility of an automated, machine-learning based feedback system for motivational interviewing.

Direct observation of psychotherapy and providing performance-based feedback is the gold-standard ap...

Prediction of Long Non-Coding RNAs Based on Deep Learning.

With the rapid development of high-throughput sequencing technology, a large number of transcript se...

Using automated computer vision and machine learning to code facial expressions of affect and arousal: Implications for emotion dysregulation research.

As early as infancy, caregivers' facial expressions shape children's behaviors, help them regulate t...

RPITER: A Hierarchical Deep Learning Framework for ncRNA⁻Protein Interaction Prediction.

Non-coding RNAs (ncRNAs) play crucial roles in multiple fundamental biological processes, such as po...

The competitive and multi-faceted nature of neural coding in motor imagery: Comment on "Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics" by V. Mohan et al.

NCBoost classifies pathogenic non-coding variants in Mendelian diseases through supervised learning on purifying selection signals in humans.

State-of-the-art methods assessing pathogenic non-coding variants have mostly been characterized on ...

[An online dynamic knowledge base in multiple languages on general medicine and primary care].

INTRODUCTION: The International Classification of Primary Care, Second version (ICPC-2) aligned with...

Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity.

Facial expressions are fundamental to interpersonal communication, including social interaction, and...

Impact of robotics and human enhancement on occupation: what does it mean for rehabilitation?

People with disabilities face participation challenges in all occupations. Scientific and technolog...

AF detection from ECG recordings using feature selection, sparse coding, and ensemble learning.

OBJECTIVE: The objective of this paper is to provide an algorithm for accurate, automated detection ...

Sparse coding of pathology slides compared to transfer learning with deep neural networks.

BACKGROUND: Histopathology images of tumor biopsies present unique challenges for applying machine l...

Computer-Assisted Diagnostic Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings.

Computer-assisted (diagnostic) coding (CAC) aims to improve the operational productivity and accurac...

Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors.

Transcription factors (TFs) are the major components of human gene regulation. In particular, they b...