Practice Management

Information Technology

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

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Natural Language Processing for EHR-Based Computational Phenotyping.

This article reviews recent advances in applying natural language processing (NLP) to Electronic Hea...

Prediction task guided representation learning of medical codes in EHR.

There have been rapidly growing applications using machine learning models for predictive analytics ...

From lexical regularities to axiomatic patterns for the quality assurance of biomedical terminologies and ontologies.

Ontologies and terminologies have been identified as key resources for the achievement of semantic i...

Profiling Lung Cancer Patients Using Electronic Health Records.

If Electronic Health Records contain a large amount of information about the patient's condition and...

Advances in Electronic Phenotyping: From Rule-Based Definitions to Machine Learning Models.

With the widespread adoption of electronic health records (EHRs), large repositories of structured a...

Deep Patient Similarity Learning for Personalized Healthcare.

Predicting patients' risk of developing certain diseases is an important research topic in healthcar...

Evaluating the Efficiency and Safety of Speech Recognition within a Commercial Electronic Health Record System: A Replication Study.

OBJECTIVE: To conduct a replication study to validate previously identified significant risks and in...

Extending the DIDEO ontology to include entities from the natural product drug interaction domain of discourse.

BACKGROUND: Prompted by the frequency of concomitant use of prescription drugs with natural products...

Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data...

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.

OBJECTIVE: Electronic medical records (EMRs) contain medical knowledge that can be used for clinical...

Predicting Hospital Readmission via Cost-Sensitive Deep Learning.

With increased use of electronic medical records (EMRs), data mining on medical data has great poten...

A Multi-Task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks.

Monitoring the future health status of patients from the historical Electronic Health Record (EHR) i...

Leveraging Collaborative Filtering to Accelerate Rare Disease Diagnosis.

In the USA, rare diseases are defined as those affecting fewer than 200,000 patients at any given ti...

A Semantic Parsing Method for Mapping Clinical Questions to Logical Forms.

This paper presents a method for converting natural language questions about structured data in the ...

Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms.

Electronic Health Records are electronic data generated during or as a byproduct of routine patient ...

A hybrid Neural Network Model for Joint Prediction of Presence and Period Assertions of Medical Events in Clinical Notes.

In this paper, we propose a novel neural network architecture for clinical text mining. We formulate...

The Dependence of Machine Learning on Electronic Medical Record Quality.

There is growing interest in applying machine learning methods to Electronic Medical Records (EMR). ...

Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment.

The clinical, granular data in electronic health record (EHR) systems provide opportunities to impro...

Predicting Inpatient Acute Kidney Injury over Different Time Horizons: How Early and Accurate?

Incidence of Acute Kidney Injury (AKI) has increased dramatically over the past two decades due to r...

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