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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
1990 Clean Air Act Amendments, Bayesian Additive Regression Trees, Counterfactual Pollution Exposures, Matching
In Soft computing
Han Tao, Gois Francisco Nauber Bernardo, Oliveira Ramsés, Prates Luan Rocha, Porto Magda Moura de Almeida
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
Mitre-Hernandez Hugo, Covarrubias Carrillo Roberto, Lara-Alvarez Carlos
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
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)
MATERIAL AND METHODS :
Nijhuis Hanne, van Rooij Ward, Gregoire Vincent, Overgaard Jens, Slotman Berend J, Verbakel Wilko F, Dahele Max
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
biochemical recurrence, bioinformatics analysis, biomarker, prostate cancer