Development of a Prediction Model for the Management of Noncommunicable Diseases Among Older Syrian Refugees Amidst the COVID-19 Pandemic in Lebanon
Sign Up to like & getrecommendations! Published in 2022 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.31633
Abstract: Key Points Question What are the predictors and barriers to managing noncommunicable diseases (NCDs) for older Syrian refugees in Lebanon? Findings This prognostic study including 1893 refugees with at least 1 NCD (chronic respiratory disease,… read more here.
Keywords: syrian refugees; prediction model; development prediction; noncommunicable diseases ... See more keywords
Development of prediction model for cloud point of thermo-responsive polymers by experiment-oriented materials informatics
Sign Up to like & getrecommendations! Published in 2023 at "Polymer Chemistry"
DOI: 10.1039/d3py00314k
Abstract: Thermo-responsive polymers having a lower critical solution temperature (LCST) have attracted attention for biological applications such as drug delivery, diagnosis, and coating materials. In recent years, research on predicting LCST... read more here.
Keywords: responsive polymers; thermo responsive; prediction model; development prediction ... See more keywords
Development of Prediction Models for Claim Cause Analyses in Highway Projects
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Legal Affairs and Dispute Resolution in Engineering and Construction"
DOI: 10.1061/(asce)la.1943-4170.0000303
Abstract: AbstractIndia has the second largest road network in the world at 4.5 million km, and still, the government plans to develop a further 66,117 km of roads in the near future. Recently, out of 1,263 ... read more here.
Keywords: analyses highway; development prediction; claim cause; prediction models ... See more keywords
Development of a prediction model on preeclampsia using machine learning-based method: a retrospective cohort study in China
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2022.896969
Abstract: Objective: The aim of this study was to use machine learning methods to analyze all available clinical and laboratory data obtained during prenatal screening in early pregnancy to develop predictive models in preeclampsia (PE). Material… read more here.
Keywords: development prediction; machine; machine learning; model ... See more keywords