Hospitalists

Estimating Local Costs Associated With Clostridium difficile Infection Using Machine Learning and Electronic Medical Records.

BACKGROUND Reported per-patient costs of Clostridium difficile infection (CDI) vary by 2 orders of m...

Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes.

BACKGROUND: Automated disease code classification using free-text medical information is important f...

Protracted severe systemic cytomegalovirus disease in an immunosuppressed patient with ulcerative colitis.

A 33-year-old man with ulcerative colitis presented with 5-day history of fever, night sweats, abdom...

Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records.

Information extraction and knowledge discovery regarding adverse drug reaction (ADR) from large-scal...

Detection of Interictal Discharges With Convolutional Neural Networks Using Discrete Ordered Multichannel Intracranial EEG.

Detection algorithms for electroencephalography (EEG) data, especially in the field of interictal ep...

Managing Drug Interactions in Cancer Therapy: A Guide for the Advanced Practitioner.

Mrs. P is a 30-year-old woman who presented to our bone marrow transplant program with myelodysplast...

Semantic Modeling for Exposomics with Exploratory Evaluation in Clinical Context.

Exposome is a critical dimension in the precision medicine paradigm. Effective representation of exp...

Using a Guided Machine Learning Ensemble Model to Predict Discharge Disposition following Meningioma Resection.

 Machine learning (ML) algorithms are powerful tools for predicting patient outcomes. This study pi...

Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but a...

A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text.

Medical entity recognition, a basic task in the language processing of clinical data, has been exten...

Prescription extraction using CRFs and word embeddings.

In medical practices, doctors detail patients' care plan via discharge summaries written in the form...

Simulating the fate of indigenous antibiotic resistant bacteria in a mild slope wastewater polluted stream.

The fate of indigenous surface-water and wastewater antibiotic resistant bacteria in a mild slope st...

A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare.

Health analysis often involves prediction of multiple outcomes of mixed type. The existing work is r...

Re: Robot-Assisted versus Open Radical Prostatectomy: A Contemporary Analysis of an All-Payer Discharge Database.

Controlling testing volume for respiratory viruses using machine learning and text mining.

Viral testing for pediatric inpatients with respiratory symptoms is common, with considerable associ...

A case of severe corrosive esophagitis, gastritis, and liver necrosis caused by ingestion of methyl ethyl ketone peroxide.

The plastic hardener methyl ethyl ketone peroxide is unstable peroxide that releases free oxygen rad...

Acute systolic heart failure with normal admission BNP: clinical features and outcomes.

INTRODUCTION: The characteristics and outcomes of patients hospitalized with acute systolic heart fa...

$\mathtt {Deepr}$: A Convolutional Net for Medical Records.

Feature engineering remains a major bottleneck when creating predictive systems from electronic medi...

Causality patterns and machine learning for the extraction of problem-action relations in discharge summaries.

Clinical narrative text includes information related to a patient's medical history such as chronolo...

Predicting early psychiatric readmission with natural language processing of narrative discharge summaries.

The ability to predict psychiatric readmission would facilitate the development of interventions to ...

Emergence of gamma motor activity in an artificial neural network model of the corticospinal system.

Muscle spindle discharge during active movement is a function of mechanical and neural parameters. M...