Practice Management

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

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Low-cost algorithms for clinical notes phenotype classification to enhance epidemiological surveillance: A case study.

OBJECTIVE: Our study aims to enhance epidemic intelligence through event-based surveillance in an em...

PyGlaucoMetrics: A Stacked Weight-Based Machine Learning Approach for Glaucoma Detection Using Visual Field Data.

: Glaucoma (GL) classification is crucial for early diagnosis and treatment, yet relying solely on s...

Multitask learning model for predicting non-coding RNA-disease associations: Incorporating local and global context.

Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are crucial non-coding RNAs involved in variou...

Identifying novel risk factors for aneurysmal subarachnoid haemorrhage using machine learning.

Aneurysmal subarachnoid haemorrhage (aSAH) is a type of stroke with high mortality and morbidity. Th...

How to leverage large language models for automatic ICD coding.

ICD coding, which involves assigning appropriate ICD codes to clinical notes, is essential for healt...

Circulating lncRNAs as biomarkers for severe dengue using a machine learning approach.

OBJECTIVES: Dengue virus (DENV) infection is a significant global health concern, causing severe mor...

GraphSleepFormer: a multi-modal graph neural network for sleep staging in OSA patients.

Obstructive sleep apnea (OSA) is a prevalent sleep disorder. Accurate sleep staging is one of the pr...

Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease.

BACKGROUND: Genome-wide association studies (GWAS) have identified common variants associated with m...

A compendium of human gene functions derived from evolutionary modelling.

A comprehensive, computable representation of the functional repertoire of all macromolecules encode...

Adaptable graph neural networks design to support generalizability for clinical event prediction.

OBJECTIVE: While many machine learning and deep learning-based models for clinical event prediction ...

Classification patterns identification of immunogenic cell death-related genes in heart failure based on deep learning.

Heart failure (HF) is a complex and prevalent condition, particularly in the elderly, presenting sym...

Active learning and margin strategies for arrhythmia classification in implantable devices.

BACKGROUND AND OBJECTIVES: The massive storage of cardiac arrhythmic episodes from Implantable Cardi...

Application of Clinical Department-Specific AI-Assisted Coding Using Taiwan Diagnosis-Related Groups: Retrospective Validation Study.

BACKGROUND: The accuracy of the ICD-10-CM (International Classification of Diseases, Tenth Revision,...

Developing an ICD-10 Coding Assistant: Pilot Study Using RoBERTa and GPT-4 for Term Extraction and Description-Based Code Selection.

BACKGROUND: The International Classification of Diseases (ICD), developed by the World Health Organi...

PrediRep: Modeling hierarchical predictive coding with an unsupervised deep learning network.

Hierarchical predictive coding (hPC) provides a compelling framework for understanding how the corte...

A deep learning analysis for dual healthcare system users and risk of opioid use disorder.

The opioid crisis has disproportionately affected U.S. veterans, leading the Veterans Health Adminis...

Large language models vs human for classifying clinical documents.

BACKGROUND: Accurate classification of medical records is crucial for clinical documentation, partic...

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