An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals [0.03%]
一种用于多医院电子健康记录临床风险预测的自适应联邦学习框架
Weishen Pan,Zhenxing Xu,Suraj Rajendran et al.
Weishen Pan et al.
Clinical risk prediction with electronic health records (EHR) using machine learning has attracted lots of attentions in recent years, where one of the key challenges is how to protect data privacy. Federated learning (FL) provides a promis...
Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients [0.03%]
基于自适应特征重要性动态校准的腹膜透析患者死亡率预测
Liantao Ma,Chaohe Zhang,Junyi Gao et al.
Liantao Ma et al.
The study aims to develop AICare, an interpretable mortality prediction model, using electronic medical records (EMR) from follow-up visits for end-stage renal disease (ESRD) patients. AICare includes a multichannel feature extraction modul...
Vijendra Ramlall,Undina Gisladottir,Jenna Kefeli et al.
Vijendra Ramlall et al.
Coronavirus disease 2019 (COVID-19), the disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, has had extensive economic, social, and public health impacts in the United States and around the world. To d...
Oliver Y Chén,Julien S Bodelet,Raúl G Saraiva et al.
Oliver Y Chén et al.
Since the 18th century, the p value has been an important part of hypothesis-based scientific investigation. As statistical and data science engines accelerate, questions emerge: to what extent are scientific discoveries based on p values r...
DIMPLE: An R package to quantify, visualize, and model spatial cellular interactions from multiplex imaging with distance matrices [0.03%]
用于量化、可视化和 modeling 细胞间空间相互作用的 R 包 DIMPLE（基于多路复用成像的距离矩阵）
Maria Masotti,Nathaniel Osher,Joel Eliason et al.
Maria Masotti et al.
A major challenge in the spatial analysis of multiplex imaging (MI) data is choosing how to measure cellular spatial interactions and how to relate them to patient outcomes. Existing methods to quantify cell-cell interactions do not scale t...
Classification of integers based on residue classes via modern deep learning algorithms [0.03%]
基于现代深度学习算法的剩余类整数分类方法研究
Da Wu,Jingye Yang,Mian Umair Ahsan et al.
Da Wu et al.
Judging whether an integer can be divided by prime numbers such as 2 or 3 may appear trivial to human beings, but it can be less straightforward for computers. Here, we tested multiple deep learning architectures and feature engineering app...
Using alternative SMILES representations to identify novel functional analogues in chemical similarity vector searches [0.03%]
使用替代SMILES表示法在化学相似性向量搜索中识别新型功能类似物
Clayton W Kosonocky,Aaron L Feller,Claus O Wilke et al.
Clayton W Kosonocky et al.
Chemical similarity searches are a widely used family of in silico methods for identifying pharmaceutical leads. These methods historically relied on structure-based comparisons to compute similarity. Here, we use a chemical language model ...
Efficient model selection for predictive pattern mining model by safe pattern pruning [0.03%]
一种基于安全模式剪枝的预测模式挖掘模型的有效选择方法
Takumi Yoshida,Hiroyuki Hanada,Kazuya Nakagawa et al.
Takumi Yoshida et al.
Predictive pattern mining is an approach used to construct prediction models when the input is represented by structured data, such as sets, graphs, and sequences. The main idea behind predictive pattern mining is to build a prediction mode...
Revealing factors influencing polymer degradation with rank-based machine learning [0.03%]
基于等级的机器学习揭示聚合物降解的影响因素
Weilin Yuan,Yusuke Hibi,Ryo Tamura et al.
Weilin Yuan et al.
The efficient treatment of polymer waste is a major challenge for marine sustainability. It is useful to reveal the factors that dominate the degradability of polymer materials for developing polymer materials in the future. The small numbe...
Yuxuan Zhao,Enmeng Lu,Yi Zeng
Yuxuan Zhao
Yuxuan Zhao, associate professor, Enmeng Lu, research engineer, and Yi Zeng, professor and lab director, have proposed a brain-inspired bodily self-perception model based on biological findings on monkeys and humans. This model can reproduc...