Using Highly Detailed Administrative Data to Predict Pneumonia Mortality
نویسندگان
چکیده
منابع مشابه
Using Highly Detailed Administrative Data to Predict Pneumonia Mortality
BACKGROUND Mortality prediction models generally require clinical data or are derived from information coded at discharge, limiting adjustment for presenting severity of illness in observational studies using administrative data. OBJECTIVES To develop and validate a mortality prediction model using administrative data available in the first 2 hospital days. RESEARCH DESIGN After dividing th...
متن کاملUsing Data-Driven Rules to Predict Mortality in Severe Community Acquired Pneumonia
Prediction of patient-centered outcomes in hospitals is useful for performance benchmarking, resource allocation, and guidance regarding active treatment and withdrawal of care. Yet, their use by clinicians is limited by the complexity of available tools and amount of data required. We propose to use Disjunctive Normal Forms as a novel approach to predict hospital and 90-day mortality from inst...
متن کاملUsing an asthma control questionnaire and administrative data to predict health-care utilization.
OBJECTIVE To examine the merits of the Asthma Therapy Assessment Questionnaire (ATAQ) control index together with prior asthma health-care utilization from administrative data in predicting future acute asthma health-care utilization. DESIGN Prospective cohort study. POPULATION A total of 4,788 adult asthma patients aged 17 to 93 years who completed a baseline evaluation and had at least 6 ...
متن کاملIntegration of remote sensing and meteorological data to predict flooding time using deep learning algorithm
Accurate flood forecasting is a vital need to reduce its risks. Due to the complicated structure of flood and river flow, it is somehow difficult to solve this problem. Artificial neural networks, such as frequent neural networks, offer good performance in time series data. In recent years, the use of Long Short Term Memory networks hase attracted much attention due to the faults of frequent ne...
متن کاملUsing Wind Data to Predict the Risk of Volcanic Eruption: An Example from Damavand Volcano, Iran
Damavand volcano is located 60 km to the East North- East of Tehran. It is a dormant stratovolcano outcrop in the Alborz Mountains of northern Iran and is the highest mountain (5670 m) in the Middle East and West Asia. Mazandaran Province, one of the most populous provinces by population density, Semnan and Gorgan provinces further east are neighbours of the Damavand. Volcanism in Damavand goes...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLoS ONE
سال: 2014
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0087382