PeNet: A feature excitation learning approach to advertisement click-through rate prediction
Since the physical meaning of the fields of the dataset is unknown, we have to use the
feature interaction method to select the correlated features and exclude uncorrelated …
feature interaction method to select the correlated features and exclude uncorrelated …
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones
Medication for neurological diseases such as the Parkinson's disease usually happens
remotely away from hospitals. Such out-of-lab environments pose challenges in collecting …
remotely away from hospitals. Such out-of-lab environments pose challenges in collecting …
Deep Magnitude Management of Clinical Code Embeddings to Predict Unplanned Hospital Readmissions
The rate of unplanned hospital readmissions is a relevant indicator of the quality of care
provided. From a financial point of view, unplanned readmissions are costly for patients and …
provided. From a financial point of view, unplanned readmissions are costly for patients and …