Practice Management

Information Technology

Latest AI and machine learning research in information technology for healthcare professionals.

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A Machine Learning Pipeline for Accurate COVID-19 Health Outcome Prediction using Longitudinal Electronic Health Records.

Current COVID-19 predictive models primarily focus on predicting the risk of mortality, and rely on ...

Understanding Heart Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions.

Heart failure (HF) is a major cause of mortality. Accurately monitoring HF progress and adjusting th...

Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients.

Accuracy of medication data in electronic health records (EHRs) is crucial for patient care and rese...

Word Embedding and Clustering for Patient-Centered Redesign of Appointment Scheduling in Ambulatory Care Settings.

. A key to a more efficient scheduling systems is to ensure appointments are designed to meet patien...

3DMesh-GAR: 3D Human Body Mesh-Based Method for Group Activity Recognition.

Group activity recognition is a prime research topic in video understanding and has many practical a...

Digital Health Policy and Programs for Hospital Care in Vietnam: Scoping Review.

BACKGROUND: There are a host of emergent technologies with the potential to improve hospital care in...

Fusion of sequential visits and medical ontology for mortality prediction.

The goal of mortality prediction task is to predict the future death risk of patients according to t...

The BMS-LM ontology for biomedical data reporting throughout the lifecycle of a research study: From data model to ontology.

Biomedical research data reuse and sharing is essential for fostering research progress. To this aim...

Classification and Explanation for Intrusion Detection System Based on Ensemble Trees and SHAP Method.

In recent years, many methods for intrusion detection systems (IDS) have been designed and developed...

Evaluation of Machine Learning Techniques to Predict the Likelihood of Mental Health Conditions Following a First mTBI.

OBJECTIVE: Limited research has evaluated the utility of machine learning models and longitudinal da...

Machine learning and artificial intelligence in research and healthcare.

Artificial intelligence (AI) is a broad term referring to the application of computational algorithm...

Identifying Information Gaps in Electronic Health Records by Using Natural Language Processing: Gynecologic Surgery History Identification.

BACKGROUND: Electronic health records (EHRs) are a rich source of longitudinal patient data. However...

Explainable deep learning in healthcare: A methodological survey from an attribution view.

The increasing availability of large collections of electronic health record (EHR) data and unpreced...

Application of deterministic networking for reducing network delay in urological telesurgery: A retrospective study.

BACKGROUND: Deterministic Networking (DetNet) is a new technology that can effectively control netwo...

An explainable machine learning framework for lung cancer hospital length of stay prediction.

This work introduces a predictive Length of Stay (LOS) framework for lung cancer patients using mach...

A Hybrid Framework for Intrusion Detection in Healthcare Systems Using Deep Learning.

The unbounded increase in network traffic and user data has made it difficult for network intrusion ...

Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing.

OBJECTIVE: Social determinants of health (SDOH) are non-medical factors that can profoundly impact p...

Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients.

Mortality prediction for intensive care unit (ICU) patients is crucial for improving outcomes and ef...

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