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Information Technology

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

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Generalized Extraction and Classification of Span-Level Clinical Phrases.

Much of the critical information in a patient's electronic health record (EHR) is hidden in unstruct...

Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.

The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severi...

Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System.

Purpose To compare breast cancer detection performance of radiologists reading mammographic examinat...

Artificial intelligence and deep learning in ophthalmology.

Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in r...

QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments.

BACKGROUND: Over the past decade, machine learning techniques have revolutionized how research and s...

Using neural attention networks to detect adverse medical events from electronic health records.

The detection of Adverse Medical Events (AMEs) plays an important role in disease management in ensu...

Application of electronic trigger tools to identify targets for improving diagnostic safety.

Progress in reducing diagnostic errors remains slow partly due to poorly defined methods to identify...

Predicting of anaphylaxis in big data EMR by exploring machine learning approaches.

Anaphylaxis is a life-threatening allergic reaction that occurs suddenly after contact with an aller...

One-pass-throw-away learning for cybersecurity in streaming non-stationary environments by dynamic stratum network.

Throughout recent times, cybersecurity problems have occurred in various business applications. Alth...

Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology.

Hospital readmission is one of the critical metrics used for measuring the performance of hospitals....

Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.

We studied how lagged linear regression can be used to detect the physiologic effects of drugs from ...

Disease Specific Ontology of Adverse Events: Ontology extension and adaptation for Chronic Kidney Disease.

BACKGROUND: Adverse Event (AE) ontology can be used to support interoperability and computer-assiste...

Automated ontology generation framework powered by linked biomedical ontologies for disease-drug domain.

OBJECTIVE AND BACKGROUND: The exponential growth of the unstructured data available in biomedical li...

Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting.

OBJECTIVE: Instruments rating risk of harm to self and others are widely used in inpatient forensic ...

Conditional random fields for clinical named entity recognition: A comparative study using Korean clinical texts.

BACKGROUND: This study demonstrates clinical named entity recognition (NER) methods on the clinical ...

Telemedicine and telerobotics: from science fiction to reality.

Advances in communication technologies have paved the way for telemedicine to transform the delivery...

Discovering and identifying New York heart association classification from electronic health records.

BACKGROUND: Cardiac Resynchronization Therapy (CRT) is an established pacing therapy for heart failu...

Natural Language Processing and Its Implications for the Future of Medication Safety: A Narrative Review of Recent Advances and Challenges.

The safety of medication use has been a priority in the United States since the late 1930s. Recently...

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