The proceedings contain 95 papers. The topics discussed include: Using Unstructured Data to Identify Readmitted Patients; Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks; Exploring the Performance of Stacking Classifier to Predict Depression Among the Elderly; On Mapping Textual Queries to a Common Data Model; Oro Vision: Deep Learning for Classifying Orofacial Diseases; Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder; multitask LS-Svm for predicting bleeding and re-operation due to bleeding; and a large-scale exploration of factors affecting hand hygiene compliance using linear predictive models.
Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017
Mirarchi D;Vizza P;Lombardo N;Arabia G;Veltri P.
2017-01-01
Abstract
The proceedings contain 95 papers. The topics discussed include: Using Unstructured Data to Identify Readmitted Patients; Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks; Exploring the Performance of Stacking Classifier to Predict Depression Among the Elderly; On Mapping Textual Queries to a Common Data Model; Oro Vision: Deep Learning for Classifying Orofacial Diseases; Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder; multitask LS-Svm for predicting bleeding and re-operation due to bleeding; and a large-scale exploration of factors affecting hand hygiene compliance using linear predictive models.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
