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Information Technology

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

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Exploration of machine learning methods to predict systemic lupus erythematosus hospitalizations.

OBJECTIVES: Systemic lupus erythematosus (SLE) is a heterogeneous disease characterized by disease f...

Explainable machine learning for real-time deterioration alert prediction to guide pre-emptive treatment.

The Electronic Medical Record (EMR) provides an opportunity to manage patient care efficiently and a...

Application of Improved Robot-assisted Laparoscopic Telesurgery with 5G Technology in Urology.

The demand for telesurgery is rising rapidly, but robust evidence regarding the feasibility of its a...

Prediction of postoperative cardiac events in multiple surgical cohorts using a multimodal and integrative decision support system.

Postoperative patients are at risk of life-threatening complications such as hemodynamic decompensat...

Ensemble Approaches to Recognize Protected Health Information in Radiology Reports.

Natural language processing (NLP) techniques for electronic health records have shown great potentia...

Information extraction from free text for aiding transdiagnostic psychiatry: constructing NLP pipelines tailored to clinicians' needs.

BACKGROUND: Developing predictive models for precision psychiatry is challenging because of unavaila...

The Challenges of Implementing Comprehensive Clinical Data Warehouses in Hospitals.

Digital health, e-health, telemedicine-this abundance of terms illustrates the scientific and techni...

Towards interpretable, medically grounded, EMR-based risk prediction models.

Machine-learning based risk prediction models have the potential to improve patient outcomes by asse...

Optimization of Cyber Tactics in Sports Strategies Using Hybrid AI Decision-Making Technologies.

One of the main problems of modern research concerns the optimal design of solutions to address cybe...

Dynamic Data Infrastructure Security for Interoperable e-Healthcare Systems: A Semantic Feature-Driven NoSQL Intrusion Attack Detection Model.

The exponential rise in advanced software computing and low-cost hardware has broadened the horizon ...

B5GEMINI: AI-Driven Network Digital Twin.

Network Digital Twin (NDT) is a new technology that builds on the concept of Digital Twins (DT) to c...

Digital Health Profile of South Korea: A Cross Sectional Study.

(1) Backgroud: For future national digital healthcare policy development, it is vital to collect bas...

Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer.

The multi-modal and unstructured nature of observational data in Electronic Health Records (EHR) is ...

Cross Deep Learning Method for Effectively Detecting the Propagation of IoT Botnet.

In recent times, organisations in a variety of businesses, such as healthcare, education, and others...

TagSeq: Malicious behavior discovery using dynamic analysis.

In recent years, studies on malware analysis have noticeably increased in the cybersecurity communit...

Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing.

BACKGROUND: Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research...

Continuous-time probabilistic models for longitudinal electronic health records.

Analysis of longitudinal Electronic Health Record (EHR) data is an important goal for precision medi...

Integrated Blockchain-Deep Learning Approach for Analyzing the Electronic Health Records Recommender System.

Blockchain is a recent revolutionary technology primarily associated with cryptocurrencies. It has m...

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