Search Results - "Yin, Changchang"

Combining structured and unstructured data for predictive models: a deep learning approach by Zhang, Dongdong, Yin, Changchang, Zeng, Jucheng, Yuan, Xiaohui, Zhang, Ping

“…The broad adoption of electronic health records (EHRs) provides great opportunities to conduct health care research and solve various clinical problems in…”
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Multimodal risk prediction with physiological signals, medical images and clinical notes by Wang, Yuanlong, Yin, Changchang, Zhang, Ping

“…The broad adoption of electronic health record (EHR) systems brings us a tremendous amount of clinical data and thus provides opportunities to conduct…”
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Identification and Classification of Atmospheric Particles Based on SEM Images Using Convolutional Neural Network with Attention Mechanism by Zhao, Meng, Liu, Xilu, Cheng, Xuezhen, Yin, Changchang

“…Accurate identification and classification of atmospheric particulates can provide the basis for their source apportionment. Most current research studies…”
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An interpretable risk prediction model for healthcare with pattern attention by Kamal, Sundreen Asad, Yin, Changchang, Qian, Buyue, Zhang, Ping

“…The availability of massive amount of data enables the possibility of clinical predictive tasks. Deep learning methods have achieved promising performance on…”
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Improved artificial potential field method based on robot local path information by Chuanxiang Ren, Fangfang Fu, Changchang Yin, Zhenqiang Yan, Renyan Zhang, Zhen Wang

“…The artificial potential field (APF) is an important method for robot path planning. However, some information in APF is not fully utilized in practical…”
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Study on automatic detection and classification of breast nodule using deep convolutional neural network system by Wang, Feiqian, Liu, Xiaotong, Yuan, Na, Qian, Buyue, Ruan, Litao, Yin, Changchang, Jin, Ciping

“…Conventional ultrasound manual scanning and artificial diagnosis approaches in breast are considered to be operator-dependence, slight slow and error-prone. In…”
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An interpretable deep-learning model for early prediction of sepsis in the emergency department by Zhang, Dongdong, Yin, Changchang, Hunold, Katherine M., Jiang, Xiaoqian, Caterino, Jeffrey M., Zhang, Ping

“…Sepsis is a life-threatening condition with high mortality rates and expensive treatment costs. Early prediction of sepsis improves survival in septic…”
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Short-Term Traffic Flow Prediction: A Method of Combined Deep Learnings by Ren, Chuanxiang, Chai, Chunxu, Yin, Changchang, Ji, Haowei, Cheng, Xuezhen, Gao, Ge, Zhang, Heng

“…Short-term traffic flow prediction can provide a basis for traffic management and support for travelers to make decisions. Accurate short-term traffic flow…”
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Boundary Guidance Strategy and Method for Urban Traffic Congestion Region Management in Internet of Vehicles Environment by Ren, Chuanxiang, Wang, Zhen, Yin, Changchang, Xu, Hui, Wang, Li, Guo, Luyao, Li, Juntao

“…Accelerated urbanization has increased regional traffic congestion. To alleviate traffic congestion in a homogeneous road network, combined with the advantage…”
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A Multifeature Fusion Short-Term Traffic Flow Prediction Model Based on Deep Learnings by Chai, Chunxu, Ren, Chuanxiang, Yin, Changchang, Xu, Hui, Meng, Qiu, Teng, Juan, Gao, Ge

“…Short-term traffic flow prediction is an important component of intelligent transportation systems, which can support traffic trip planning and traffic…”
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Research on the Platoon Speed Guidance Strategy at Signalized Intersections in the Connected Vehicle Environment by Ren, Chuanxiang, Wang, Li, Yin, Changchang, Wang, Zhen, Chen, Xuehai, Li, Juntao

“…The development of connected vehicle (CV) technology has created conditions for improving the traffic efficiency of intersections and provided support for more…”
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Autophagy Protects Advanced Glycation End Product-Induced Apoptosis and Expression of MMP-3 and MMP-13 in Rat Chondrocytes by Cheng, Xigao, Yin, Changchang, Deng, Zhongbo, Xu, Libiao, Wu, Tianlong, Li, Jian, Ao, Peng, Huang, Wenzhou, Chen, Wenjie

“…Aging is one of the most prominent risk factors for the pathological progression of osteoarthritis (OA). One feature of age-related changes in OA is advanced…”
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LncRNA Malat-1 From MSCs-Derived Extracellular Vesicles Suppresses Inflammation and Cartilage Degradation in Osteoarthritis by Pan, Chongzhi, Huang, Wenzhou, Chen, Qi, Xu, Jiu, Yao, Guoyu, Li, Bin, Wu, Tianlong, Yin, Changchang, Cheng, Xigao

“…Extracellular Vesicles (EVs) derived from hMSCs, have the potential to alleviate cartilage damage and inflammation. We aimed to explore the effects of EVs…”
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Apoptosis Induction by the Total Flavonoids from Arachniodes exilis in HepG2 Cells through Reactive Oxygen Species-Mediated Mitochondrial Dysfunction Involving MAPK Activation by Yin, Changchang, Wei, Han, Xiong, Chaomei, Chen, Jing, Li, Huimin, Ruan, Jinlan

“…Arachniodes exilis is used as a folk medicine in China and proved to have antibacterial, anti-inflammatory, and sedative activities. In the present study, the…”
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Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation by Changchang Yin, Buyue Qian, Shilei Cao, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Davidson, Ian

“…Active learning aims to reduce manual labeling efforts by proactively selecting the most informative unlabeled instances to query. In real-world scenarios,…”
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Predictive Modeling with Temporal Graphical Representation on Electronic Health Records by Chen, Jiayuan, Yin, Changchang, Wang, Yuanlong, Zhang, Ping

“…Deep learning-based predictive models, leveraging Electronic Health Records (EHR), are receiving increasing attention in healthcare. An effective…”
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Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach by Li, Rui, Yin, Changchang, Yang, Samuel, Qian, Buyue, Zhang, Ping

“…Deep learning models have attracted significant interest from health care researchers during the last few decades. There have been many studies that apply deep…”
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Stable clinical risk prediction against distribution shift in electronic health records by Lee, Seungyeon, Yin, Changchang, Zhang, Ping

“…The availability of large-scale electronic health record datasets has led to the development of artificial intelligence (AI) methods for clinical risk…”
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A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach by Pham, Thai-Hoang, Yin, Changchang, Mehta, Laxmi, Zhang, Xueru, Zhang, Ping

“…In healthcare domain, complication risk profiling which can be seen as multiple clinical risk prediction tasks is challenging due to the complex interaction…”
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The bone marrow-derived mesenchymal stem cells (BMSCs) alleviate diabetic peripheral neuropathy induced by STZ via activating GSK-3β/β-catenin signaling pathway by He, Dingwen, Xu, Yanjie, Xiong, Xi, Yin, Changchang, Lei, Shuihong, Cheng, Xigao

“…•BMSCs improve STZ-induced diabetes symptoms in rats.•BMSCs ameliorate oxidative stress, painful diabetic neuropathy, neurotrophic status and angiogenesis in…”
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