A tensor|based approach to cause|of|death mortality modeling

A new approach for modeling delayed fire‐induced tree mortality

Survival models analyze the time to event occurrence by considering both the event indicator (e.g., death of a tree) and the related timing from ...

Revisiting UK Mortality Projections: The challenges of modeling ...

Modeling the future progression of mortality rates is challenging and often requires complex statistical methods when using a data-driven approach.

Predicting mortality from 57 economic, behavioral, social ... - PNAS

For a second complementary approach, we implemented a regression algorithm that allows a large number of predictors to be fit in a single model: ...

Modeling of Maternal Mortality and Infant Mortality Cases in East ...

In this research, we study the Poisson regres-sion by using the nonparametric regression approach based on local linear estimator for modeling the maternal ...

Tree Injury and Mortality in Fires: Developing Process-Based Models

This kind of injury and the tree death that follows directly are hereafter termed first-order fire effects. Ultimately, thermal injury initiates ...

Modeling Mortality with R - Dimiter Toshkov

The equivalent model with raw deaths as the dependent variable (Model 1b) has a MAE of 164.84 and predicted wrongly 8572 deaths. The means of ...

Tree injury and mortality in fires: developing process-based models

Post fire mortality of ponderosa pine and Douglas-fir: a re- view of methods to predict tree death. USDA Forest Service General technical report RMRS-. GTR ...

Mortality Modeling: Using Statistics to Predict Death Rates

Mortality modeling is a fascinating field that utilizes statistical techniques to predict death rates. By analyzing historical data and ...

Estimating County-Level Mortality Rates Using Highly Censored ...

A substitution approach was compared with 1) a simple, nonspatial Bayesian model that smooths rates toward their statewide averages and 2) a ...

Breast Cancer: Screening - U.S. Preventive Services Task Force

... cause of cancer death among US women. In 2023, an estimated ... morbidity, and breast cancer–specific or all-cause mortality. To be ...

Machine Learning Techniques for Mortality Modeling

For a parametric modeling approach and existing literature on cause-of-death mortality we refer to [1, 4] and references therein. ∗RiskLab, ...

Impact Map - Climate Impact Lab

Carleton et al. (2020) use these results to model how adaptation affects the sensitivity of a population to extreme temperatures. Estimates of the mortality- ...

TechRxiv - TechRxiv

This paper presents a new approach to beam alignment in millimeter wave high-speed train systems. ... Ecosystems Resilience Modeling: Network-Based Simulation of ...

Multi-population mortality forecasting using tensor decomposition

In the third stage, a number of new approaches have been developed for forecasting mortality using stochastic models, which focus on the age-sex ...

Forecast skill assessment of an operational continental heat-cold ...

... based early warning systems, using epidemiological models to transform . ... mortality due to the use of epidemiological models. Overall ...

shap/shap: A game theoretic approach to explain the output of any ...

SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.

CHEST Home

Development and Validation of the Hospital Medicine Safety Sepsis Initiative Mortality Model ... based care. Our mission is to champion the prevention ...

Exact Sciences Unveils Data Showing Promise of Multi-Cancer ...

“Cancer is on pace to be the leading cause of death in the U.S. by 20301. ... Limitations: Based on modeling data derived from numerous sources ...

Therapeutic approach to treat virus-induced lung failure for severe ...

In addition, mortality was decreased by about 20%. The study "Efficacy and safety of asunercept, a CD95L-selective inhibitor, in hospitalized ...

Colorectal Cancer: Screening - U.S. Preventive Services Task Force

Colorectal cancer is the third leading cause of cancer death for ... Based on averaging estimates across the 3 CISNET models, if ...