4 citations · 12 across the 5 of their papers we have counts for
5 papers
Using deep convolutional neural networks to classify poisonous and edible mushrooms found in China
Baiming Zhang, Ying Zhao, Zhixiang Li
Because of their abundance of amino acids, polysaccharides, and many other nutrients that benefit human beings, mushrooms are deservedly popular as dietary cuisine both worldwide a…
Transgender Community Sentiment Analysis from Social Media Data: A Natural Language Processing Approach
Yuqiao Liu, Yudan Wang, Ying Zhao +1
Transgender community is experiencing a huge disparity in mental health conditions compared with the general population. Interpreting the social medial data posted by transgender p…
An early prediction of covid-19 associated hospitalization surge using deep learning approach
Yuqi Meng, Qiancheng Sun, Suning Hong +2
The global pandemic caused by COVID-19 affects our lives in all aspects. As of September 11, more than 28 million people have tested positive for COVID-19 infection, and more than…
Early Prediction of 30-day ICU Re-admissions Using Natural Language Processing and Machine Learning
Zhiheng Li, Xinyue Xing, Bingzhang Lu +1
ICU readmission is associated with longer hospitalization, mortality and adverse outcomes. An early recognition of ICU re-admission can help prevent patients from worse situation a…
Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data
Haotian Liu, Lin Xi, Ying Zhao +1
The prediction of epileptic seizure has always been extremely challenging in medical domain. However, as the development of computer technology, the application of machine learning…