Search Articles

View query in Help articles search
e.g. John Smith or 0000-0001-6479-5330

Search Results (1 to 4 of 4 Results)

Download search results: CSV END BibTex RIS

Sequential Data–Based Patient Similarity Framework for Patient Outcome Prediction: Algorithm Development

Sequential Data–Based Patient Similarity Framework for Patient Outcome Prediction: Algorithm Development

Wang et al [11,12] used similarity-based models to predict diabetes and liver disease risk. Li et al [13] successfully identified 3 distinct subgroups of type 2 diabetes based on the calculated patient similarity. Wang et al [14] derived a local spline regression-based method for patient embedding and patient similarity measurement to predict cardiovascular disease risk.

Ni Wang, Muyu Wang, Yang Zhou, Honglei Liu, Lan Wei, Xiaolu Fei, Hui Chen

J Med Internet Res 2022;24(1):e30720

Download Citation: END BibTex RIS

Download PDF Download XML
Article has an altmetric score of 4

Patient Representation From Structured Electronic Medical Records Based on Embedding Technique: Development and Validation Study

Patient Representation From Structured Electronic Medical Records Based on Embedding Technique: Development and Validation Study

Zhe Wang et al [5] designed a feature rearrangement representation based on the convolutional neural network for heart failure mortality prediction. Lei Wang et al [3] used autoencoder, an unsupervised deep learning algorithm, to generate lower-dimensional representations from EMR data in various predictive tasks such as readmission prediction and pneumonia prediction.

Yanqun Huang, Ni Wang, Zhiqiang Zhang, Honglei Liu, Xiaolu Fei, Lan Wei, Hui Chen

JMIR Med Inform 2021;9(7):e19905

Download Citation: END BibTex RIS

Download PDF Download XML
Article has an altmetric score of 2