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Evaluation of a hospital admission prediction model adding coded chief complaint data using neural network methodology.

European journal of emergency medicine : official journal of the European Society for Emergency Medicine
OBJECTIVE: Our objective was to apply neural network methodology to determine whether adding coded chief complaint (CCC) data to triage information would result in an improved hospital admission prediction model than one without CCC data.

Positive Surgical Margin Trends in Patients with Pathologic T3 Prostate Cancer Treated with Robot-Assisted Radical Prostatectomy.

Journal of endourology
INTRODUCTION: We analyzed the trends of positive surgical margin (PSM) location in patients who had pT3 disease at robot-assisted radical prostatectomy (RARP). We aimed to describe our changing incidence of PSMs in the largest series to date of patie...

Exploring the forest instead of the trees: An innovative method for defining obesogenic and obesoprotective environments.

Health & place
Past research has assessed the association of single community characteristics with obesity, ignoring the spatial co-occurrence of multiple community-level risk factors. We used conditional random forests (CRF), a non-parametric machine learning appr...

Implementing a robotics curriculum at an academic general surgery training program: our initial experience.

Journal of robotic surgery
The robotic surgical platform is being utilized by a growing number of hospitals across the country, including academic medical centers. Training programs are tasked with teaching their residents how to utilize this technology. To this end, we have d...

Screening Electronic Health Record-Related Patient Safety Reports Using Machine Learning.

Journal of patient safety
INTRODUCTION: The objective of this study was to develop a semiautomated approach to screening cases that describe hazards associated with the electronic health record (EHR) from a mandatory, population-based patient safety reporting system.