Drought-induced tree mortality has been observed globally and is expected to increase under climate change scenarios, with large potential consequences for the terrestrial carbon sink. Predicting mortality across species is crucial for assessing the effects of climate extremes on forest community biodiversity, composition, and carbon sequestration. However, the physiological traits associated w...

This paper compares three different methods for performing cancer incidence prediction in an area without a cancer registry under a Bayesian framework, using linear and log-linear age-period models with either age-specific slopes or a common slope across age groups. The three methods assume that a nearby area with a cancer registration has similar incidence and mortality patterns as the area of...

PURPOSE The Simplified Acute Physiology Score (SAPS) 3 was recently proposed to reflect contemporary changes in intensive care practices. SAPS 3 features customized equations for the prediction of mortality in different geographic regions. However, the usefulness of SAPS 3 and its customized equation (Australasia SAPS 3) have never been externally validated in Korea. This study was designed to ...

OBJECTIVE The objective of this study was to create a tool that predicts the risk of mortality in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS This study was based on a cohort of 33,067 patients with type 2 diabetes identified in the Cleveland Clinic electronic health record (EHR) who were initially prescribed a single oral hypoglycemic agent between 1998 and 2006. Mortality was...

At least two clinical rules for predicting shortand long-term mortality in patients with community-acquired pneumonia (CAP) have been successfully validated: the Pneumonia Severity Index (PSI), and the CURB-65 score (confusion, urea .7 mmol?L, respiratory frequency o30 breaths?min, systolic blood pressure ,90 mmHg or diastolic blood pressure f60 mmHg and age o65 yrs) and its modifications. The ...

The current study tested competing predictions regarding the effect of mortality salience on delay discounting. One prediction, based on evolutionary considerations, was that reminders of death increase the value of the present. Another prediction, based in part on construal level theory, was that reminders of death increase the value of the future. One-hundred eighteen participants thought abo...

OBJECTIVE Validation of Clinical Risk Index for Babies (CRIB II) score in predicting the neonatal mortality in preterm neonates < or = 32 weeks gestational age. DESIGN Prospective cohort study. SETTING Tertiary care neonatal unit. SUBJECTS 86 consecutively born preterm neonates with gestational age < or = 32 weeks. METHODS The five variables related to CRIB II were recorded within the f...

There is a great need for technologies that can predict the mortality of patients in intensive care units with both high accuracy and accountability. We present joint end-to-end neural network architectures that combine long short-term memory (LSTM) and a latent topic model to simultaneously train a classifier for mortality prediction and learn latent topics indicative of mortality from textual...