Practice Management

Information Technology

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

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Performance of a Natural Language Processing Method to Extract Stone Composition From the Electronic Health Record.

OBJECTIVES: To demonstrate the utility of a natural language processing (NLP) algorithm for mining k...

A disease inference method based on symptom extraction and bidirectional Long Short Term Memory networks.

The wide applications of automatic disease inference in many medical fields improve the efficiency o...

Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings.

In order to advance precision medicine, detailed clinical features ought to be described in a way th...

Detection of probable dementia cases in undiagnosed patients using structured and unstructured electronic health records.

BACKGROUND: Dementia is underdiagnosed in both the general population and among Veterans. This under...

Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records.

Electronic health records (EHR) represent a rich resource for conducting observational studies, supp...

Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data.

PURPOSE: To enhance automated methods for accurately identifying opioid-related overdoses and classi...

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

BACKGROUND: Ontology has attracted substantial attention from both academia and industry. Handling u...

Natural Language Processing to Quantify Microbial Keratitis Measurements.

A natural language processing (NLP) algorithm to extract microbial keratitis morphology measurements...

Deep Sequential Models for Suicidal Ideation From Multiple Source Data.

This paper presents a novel method for predicting suicidal ideation from electronic health records (...

Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing.

OBJECTIVE: The manual adjudication of disease classification is time-consuming, error-prone, and lim...

A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard.

BACKGROUND: Mobile health (MH) technologies including clinical decision support systems (CDSS) provi...

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...

Image Quality Improvement of Hand-Held Ultrasound Devices With a Two-Stage Generative Adversarial Network.

As a widely used imaging modality in the medical field, ultrasound has been applied in community med...

Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records.

Current guidelines for treatment decision making largely rely on data from randomized controlled tri...

Developing a Physical Activity Ontology to Support the Interoperability of Physical Activity Data.

BACKGROUND: Physical activity data provides important information on disease onset, progression, and...

Predicting childhood obesity using electronic health records and publicly available data.

BACKGROUND: Because of the strong link between childhood obesity and adulthood obesity comorbidities...

Neural transfer learning for assigning diagnosis codes to EMRs.

OBJECTIVE: Electronic medical records (EMRs) are manually annotated by healthcare professionals and ...

Attention-based deep residual learning network for entity relation extraction in Chinese EMRs.

BACKGROUND: Electronic medical records (EMRs) contain a variety of valuable medical concepts and rel...

Intensive Care Unit Telemedicine in the Era of Big Data, Artificial Intelligence, and Computer Clinical Decision Support Systems.

This article examines the history of the telemedicine intensive care unit (tele-ICU), the current st...

DeepClas4Bio: Connecting bioimaging tools with deep learning frameworks for image classification.

BACKGROUND AND OBJECTIVE: Deep learning techniques have been successfully applied to tackle several ...

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