Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications.
Wang, Haohan
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications. [electronic resource] - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2019 - 54-65 p. digital
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
2335-6936
Computational Biology
Deep Learning
Diagnosis, Computer-Assisted
Humans
Machine Learning
Medical Informatics
Medical Informatics Applications
Medical Informatics Computing
Neural Networks, Computer
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications. [electronic resource] - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2019 - 54-65 p. digital
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
2335-6936
Computational Biology
Deep Learning
Diagnosis, Computer-Assisted
Humans
Machine Learning
Medical Informatics
Medical Informatics Applications
Medical Informatics Computing
Neural Networks, Computer