Results 21 to 30 of about 29,110,946 (332)
Aims Arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVC) is characterized by ventricular arrhythmias (VAs) and sudden cardiac death (SCD). We aimed to develop a model for individualized prediction of incident VA/SCD in ARVC patients. Methods
Julia Cadrin-Tourigny +39 more
semanticscholar +1 more source
Calculating the sample size required for developing a clinical prediction model
Clinical prediction models aim to predict outcomes in individuals, to inform diagnosis or prognosis in healthcare. Hundreds of prediction models are published in the medical literature each year, yet many are developed using a dataset that is too small ...
R. Riley +8 more
semanticscholar +1 more source
Wind Waves in the Mediterranean Sea: An ERA5 Reanalysis Wind-Based Climatology
A climatology of the wind waves in the Mediterranean Sea is presented. The climate patterns, their spatio-temporal variability and change are based on a 40-year (1980–2019) wave hindcast, obtained by combining the ERA5 reanalysis wind forcing with the ...
Francesco Barbariol +8 more
doaj +1 more source
Minimum sample size for external validation of a clinical prediction model with a binary outcome
In prediction model research, external validation is needed to examine an existing model's performance using data independent to that for model development.
R. Riley +6 more
semanticscholar +1 more source
We present an unprecedented set of high‐resolution climate simulations, consisting of a 500‐year pre‐industrial control simulation and a 250‐year historical and future climate simulation from 1850 to 2100. A high‐resolution configuration of the Community
Ping Chang +43 more
doaj +1 more source
OBJECTIVES Missing data is a common problem during the development, evaluation, and implementation of prediction models. Although machine learning (ML) methods are often said to be capable of circumventing missing data, it is unclear how these methods ...
S. Nijman +8 more
semanticscholar +1 more source
An air quality index prediction model based on CNN-ILSTM
Air quality index (AQI) is an essential measure of air pollution evaluation, which describes the air pollution degree and its impact on health, so the accurate prediction of AQI is significant.
Jingyang Wang +5 more
semanticscholar +1 more source
Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks [PDF]
Changes in Arctic sea ice affect atmospheric circulation, ocean current, and polar ecosystems. There have been unprecedented decreases in the amount of Arctic sea ice due to global warming.
Han, Daehyeon +4 more
core +1 more source
Development of Moisture Prediction Model for Tea using Electrical Impedance Spectroscopy [PDF]
Moisture is the most essential parameter for tea leaves for storage and consumption stage as it affects the physical and chemical aspects of tea leaves with which it relates the stability and freshness the tea leaves for a long time.
Bansod, B. K. (Baban) +2 more
core +1 more source
Reliability prediction in model driven development [PDF]
Evaluating the implications of an architecture design early in the software development lifecycle is important in order to reduce costs of development.
Rodrigues, G.N. +2 more
core +1 more source

