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Evaluation of the health impacts of the 1990 Clean Air Act Amendments using causal inference and machine learning.
In Journal of the American Statistical Association
Nethery Rachel C, Mealli Fabrizia, Sacks Jason D, Dominici Francesca
2020-Sep-16
1990 Clean Air Act Amendments, Bayesian Additive Regression Trees, Counterfactual Pollution Exposures, Matching
Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML.
In Soft computing
Han Tao, Gois Francisco Nauber Bernardo, Oliveira Ramsés, Prates Luan Rocha, Porto Magda Moura de Almeida
2021-Jan-05
AutoML, COVID-19, Forecast, Kalman Filter

Pupillary Responses for Cognitive Load Measurement to Classify Difficulty Levels in an Educational Video Game: Empirical Study.
In JMIR serious games
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Mitre-Hernandez Hugo, Covarrubias Carrillo Roberto, Lara-Alvarez Carlos
2021-Jan-11
educational technology, machine learning, metacognitive monitoring, pupil, video games

Prediction of throwing distance in the men's and women's javelin final at the 2017 IAAF world championships.
In Journal of sports sciences ; h5-index 52.0
Krzyszkowski John, Kipp Kristof
2021-Jan-11
Biomechanics, LASSO, machine learning, regularised regression, sports
Investigating the potential of deep learning for patient-specific quality assurance of salivary gland contours using EORTC-1219-DAHANCA-29 clinical trial data.
In Acta oncologica (Stockholm, Sweden)
INTRODUCTION :
MATERIAL AND METHODS :
RESULTS :
CONCLUSION :
Nijhuis Hanne, van Rooij Ward, Gregoire Vincent, Overgaard Jens, Slotman Berend J, Verbakel Wilko F, Dahele Max
2021-Jan-11
Clinical trial, Deep learning, Quality assurance, Radiotherapy, Salivary glands, Segmentation

Using machine learning method to identify MYLK as a novel marker to predict biochemical recurrence in prostate cancer.
In Biomarkers in medicine
Qiao Peng, Zhang Di, Zeng Song, Wang Yicun, Wang Biao, Hu Xiaopeng
2021-Jan
biochemical recurrence, bioinformatics analysis, biomarker, prostate cancer
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