Hospital-Based Medicine

Risk prediction model for in-hospital mortality in women with ST-elevation myocardial infarction: A machine learning approach.

BACKGROUND: Studies had shown that mortality due to ST-elevation myocardial infarction (STEMI) is hi...

Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few...

Dose-Dependent Effects of Common Antibiotics Used to Treat on Biofilm Formation.

BACKGROUND & OBJECTIVE: especially methicillin-resistant (MRSA), represent serious nosocomial and ...

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...

Artificial neural network coding of the child attachment interview using linguistic data.

Assessing attachment in adolescents is important due to relations between insecurity and psychopatho...

If your hospital has RATS, do not exterminate.

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...

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, increasi...

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

Environmental exposure and health risk upon engineered nanomaterials are increasingly concerned. The...

The Effect of an In-Hospital Comprehensive Geriatric Assessment on Short-Term Mortality During Orthogeriatric Hip Fracture Program-Which Patients Benefit the Most?

AIMS: To examine the association of patient-related factors with the effect of an in-hospital compre...

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...

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 pre...

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...

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

BACKGROUND: Severe infections such as endocarditis and osteomyelitis require long-term treatment wit...

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...

Mesenteric approach during pancreaticoduodenectomy for pancreatic ductal adenocarcinoma.

Mesenteric approach is an artery-first approach during pancreaticoduodenectomy (PD). In the present ...

Artificial Intelligence Methodologies and Their Application to Diabetes.

In the past decade diabetes management has been transformed by the addition of continuous glucose mo...

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 ...