Yang Chen
7 Papers
1 Citations
Yang Chen is an academic researcher. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 1, co-authored 1 publications.
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Papers
Predicting HER2 Status in Breast Cancer on Ultrasound Images Using Deep Learning Method
TL;DR: These results demonstrate that ultrasound images are predictive of HER2 expression through a deep learning classifier and provides a non-invasive, simple, and feasible method for the prediction of Her2 expression without the manual delineation of the regions of interest (ROI).
Machine Learning Methods to Identify Predictors of Psychological Distress
Yang Chen,Xiaomei Zhang,Lin Lu,Yinzhi Wang,Jiajia Liu,Lei Qin,Linglong Ye,Jianping Zhu,Ben Chang Shia,Ming Chen +9 more
TL;DR: In this article , four machine learning algorithms were applied for modeling: logistic regression (linear), random forests (RF), the artificial neural network (ANN) (nonlinear), and gradient boosting (GB) (ensemble).
7
Gender Differences in the Nonspecific and Health-Specific Use of Social Media Before and During the COVID-19 Pandemic: Trend Analysis Using HINTS 2017-2020 Data
Linglong Ye,Yang Chen,Yongming Cai,Yi Wei Kao,Yuanxin Wang,Mingchih Chen,Ben Chang Shia,Lei Qin +7 more
TL;DR: In this paper , the authors examined the gender disparity in social media use for nonspecific and health-specific issues before and during the COVID-19 pandemic, and found that female participants were more likely to be health-related users than males.
4
Identifying Predictors of Non-Use of Online Medical Records Among Patients in a Data-Rich Environment by H2O’s Auto-Machine Learning (Preprint)
Qian Zhou,Yang Chen,Xue-zong Liu,Miao-Chang Zhu,Ben Chang Shia,Ming Chen,Linglong Ye,Lei Qin +7 more
TL;DR: In this article , five machine learning algorithms, namely, logistic regression, automatic generalized linear model, automatic random forest, automatic deep neural network, and automatic gradient boosting machine, were used to identify and investigate factors affecting web-based medical record nonuse.
3
A Novel Treatment Optimization System and Top Gene Identification via Machine Learning with Application on Breast Cancer
Yuhang Wu,Yang Chen +1 more
TL;DR: Genomics Topology uses 272 breast cancer patients’ clinical and gene information as an example to propose a treatment optimization and top gene identification system that can precisely predict breast cancer mortality, recurrence time, and survival time.