Hospital-Based Medicine

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-scale clinical texts are very useful and needy processes. Two major difficulties of this task are the lack of domain experts for labeling examples and intractable processing of unstructured clinical texts. Even though most previous works have been conducted on these issues by applying semisupervised lea...

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 epileptiform discharge (IED) detection, have traditionally employed handcrafted features, which utilized specific characteristics of neural responses. Although these algorithms achieve high accuracy, mere detection of an IED holds little clinical significance. In this paper, we consider deep learning ...

Robust artificial neural network for reliability and sensitivity analyses of complex non-linear systems.

Artificial Neural Networks (ANNs) are commonly used in place of expensive models to reduce the computational burden required for uncertainty quantific...

Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach.

OBJECTIVES: Unplanned readmissions to the intensive care unit (ICU) are highly undesirable, increasing variance in care, making resource planning diff...

Mesoporous carbon nanomaterials induced pulmonary surfactant inhibition, cytotoxicity, inflammation and lung fibrosis.

Environmental exposure and health risk upon engineered nanomaterials are increasingly concerned. The family of mesoporous carbon nanomaterials (MCNs) ...

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 myelodysplastic syndrome (MDS). She received a haploidentical a...

Semantic Modeling for Exposomics with Exploratory Evaluation in Clinical Context.

Exposome is a critical dimension in the precision medicine paradigm. Effective representation of exposomics knowledge is instrumental to melding nonge...

Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks.

OBJECTIVE: To describe and compare logistic regression and neural network modeling strategies to predict hospital admission or transfer following init...

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 pilots a novel approach to algorithm selection and m...

Physical and chemical stability of ceftaroline in an elastomeric infusion device.

BACKGROUND: Severe infections such as endocarditis and osteomyelitis require long-term treatment with parenteral antibiotics and hence prolonged hospi...

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 also have an impact on the quality of care for pati...

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 extensively studied in analyzing admission notes in alp...

Prescription extraction using CRFs and word embeddings.

In medical practices, doctors detail patients' care plan via discharge summaries written in the form of unstructured free texts, which among the other...

Mesenteric approach during pancreaticoduodenectomy for pancreatic ductal adenocarcinoma.

Mesenteric approach is an artery-first approach during pancreaticoduodenectomy (PD). In the present study, we evaluated clinical and oncological benef...

Artificial Intelligence Methodologies and Their Application to Diabetes.

In the past decade diabetes management has been transformed by the addition of continuous glucose monitoring and insulin pump data. More recently, a w...

Experimental evaluation of a novel robotic hospital bed mover with omni-directional mobility.

Bed pushing during patient transfer is one of the most physically demanding and yet common tasks in the hospital setting. Powered bed movers have been...

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 stream simulated through a hydraulic channel was inv...

The hospital of tomorrow in 10 points.

Technology has advanced rapidly in recent years and is continuing to do so, with associated changes in multiple areas, including hospital structure an...

Physicochemical stability of voriconazole in elastomeric devices.

OBJECTIVES: Voriconazole is the drug of choice for invasive aspergillosis (IA), a leading cause of mortality and morbidity in immunocompromised patien...

Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD.

To date, studies of biological risk factors have revealed inconsistent relationships with subsequent post-traumatic stress disorder (PTSD). The incons...