Evaluating information loss in the National Cancer Database from cases lost to follow‐up
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DOI: 10.1002/jso.26977
Abstract: Cancer registries must focus on data capture which returns value while reducing resource burden with minimal loss of data. Identifying the optimum length of follow‐up data collection for patients with cancer achieves this goal. read more here.
Keywords: information loss; evaluating information; national cancer; loss ... See more keywords
Evaluating Information-Retrieval Models and Machine-Learning Classifiers for Measuring the Social Perception towards Infectious Diseases
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DOI: 10.3390/app9142858
Abstract: Recent outbreaks of infectious diseases remind us the importance of early-detection systems improvement. Infodemiology is a novel research field that analyzes online information regarding public health that aims to complement traditional surveillance methods. However, the… read more here.
Keywords: learning classifiers; evaluating information; infectious diseases; machine learning ... See more keywords