CK Enders - Psychological Methods, 2023 - psycnet.apa.org
The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled “Missing data: Our view of the state of the art,” currently the most highly cited paper in the …
Y Zhang, Y Feng, Z Ren, R Zuo, T Zhang, Y Li… - Bioresource …, 2023 - Elsevier
The ideal conditions for anaerobic digestion experiments with biochar addition are challenging to thoroughly study due to different experimental purposes. Therefore, three tree …
SA Ebiaredoh-Mienye, TG Swart, E Esenogho… - Bioengineering, 2022 - mdpi.com
The high prevalence of chronic kidney disease (CKD) is a significant public health concern globally. The condition has a high mortality rate, especially in developing countries. CKD …
Prediction of air pollution index may help in traffic routing and identifying serious pollutants. Modeling of the complex relationships between these variables by sophisticated methods in …
Missing data are an unavoidable complication in many machine learning tasks. When data are 'missing at random'there exist a range of tools and techniques to deal with the issue …
T Averbuch, K Sullivan, A Sauer… - … Heart Journal-Digital …, 2022 - academic.oup.com
Abstract Machine learning (ML) is a sub-field of artificial intelligence that uses computer algorithms to extract patterns from raw data, acquire knowledge without human input, and …
Sequencing technologies are evolving at a rapid pace, enabling the generation of massive amounts of data in multiple dimensions (eg, genomics, epigenomics, transcriptomic …
D Liu, Y Wang, C Liu, K Wang, X Yuan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In industrial processes, frequent communication failures and information corruption may result in the loss of entire blocks of industrial process data, which is also known as blackout …
AS Tejani, YS Ng, Y Xi, JC Rayan - RadioGraphics, 2024 - pubs.rsna.org
Artificial intelligence (AI) algorithms are prone to bias at multiple stages of model development, with potential for exacerbating health disparities. However, bias in imaging AI …