J
Jing Xia
Researcher at Zhejiang University
Publications - 7
Citations - 247
Jing Xia is an academic researcher from Zhejiang University. The author has contributed to research in topics: Random forest & Sample (statistics). The author has an hindex of 4, co-authored 7 publications receiving 140 citations.
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Journal ArticleDOI
Class Weights Random Forest Algorithm for Processing Class Imbalanced Medical Data
TL;DR: The validation test on UCI data sets demonstrates that for imbalanced medical data, the proposed method enhanced the overall performance of the classifier while producing high accuracy in identifying both majority and minority class.
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Adjusted weight voting algorithm for random forests in handling missing values
TL;DR: Compared with surrRF, AWVRF is significantly more efficient and remain good discrimination of prediction, exhibiting its superiority over other methods.
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Dimensionality Reduction in Complex Medical Data: Improved Self-Adaptive Niche Genetic Algorithm.
TL;DR: The results show that, by applying INGA, the feature dimensionality of datasets was reduced from 77 to 10 and that the model achieved an accuracy of 92% in predicting 28-day death in sepsis patients, which is significantly higher than other methods.
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A Long Short-Term Memory Ensemble Approach for Improving the Outcome Prediction in Intensive Care Unit
TL;DR: The results demonstrate that the eLSTM is capable of dynamically predicting the mortality of patients in complex clinical situations.
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Prognostic model of small sample critical diseases based on transfer learning
TL;DR: The results of application on sepsis revealed that the transLSTM model of only 100 training samples had comparable mortality prediction performance to the traditional model of 250 training samples and has significant advantages with higher prediciton accuracy and faster training speed.