Dynamic prediction of hospital admission with medical claim data

Prediction of infant hospital admission risk.

Admission Indicators for Pre-hospital Emergency Medical Students

Background: Appropriate and timely response in urgent situations requires high knowledge, physical and mental preparedness. Since emergency medical technicians are the first professional respondents in the health system, selecting the right people among the candidates to study in this field is very important. Due to the fact that there was a no specific model in the country of Iran to propose t...

Prediction of Dynamic Medical Data Series Using Neural Networks Method

The aim of the paper is to develop neural networks technique for solving some important medical problem. That problem is called ”Blood gases prognosis values”. The main question, that is considered, is how to predict some parameters that describe blood gases nature in the future for a nowborn based on a set of parameters that describe this child now, and in the past. We are expected to receive ...

Admission Data Predict High Hospital Readmission Risk.

PURPOSE The purpose of this study was to identify data available at the time of hospital admission that predict readmission risk. METHODS We performed a retrospective multiple regression analysis of 958 adult, nonpregnant patients admitted to the Family Medicine Service between June 2012 and October 2013. Data were abstracted from hospital administrative sources and electronic medical records...

Prediction of hospital mortality rates by admission laboratory tests.

BACKGROUND The aim of this study was to explore whether electronically retrieved laboratory data can predict mortality in internal medicine departments in a regional hospital. METHODS All 10,308 patients hospitalized in internal medicine departments over a 1-year period were included in the cohort. Nearly all patients had a complete blood count and basic clinical chemistries on admission. We ...