2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS) 2020
DOI: 10.1109/cbms49503.2020.00035
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Exploring Visual Attention and Machine Learning in 3D Visualization of Medical Temporal Data

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“…Thus, we seek to advance the visualization of temporal data in 3D space, through personalized visualizations based on capturing the users' preferences. While in [15] the use of rule-based learning is discussed in the personalization of visualization of temporal data, in [16] the results of a controlled experiment carried out with health professionals are presented. The proposed approach is extensible to other domains that share data that can be organized into informational clusters.…”
Section: Computer-aided Diagnosis and Therapymentioning
confidence: 99%
“…Thus, we seek to advance the visualization of temporal data in 3D space, through personalized visualizations based on capturing the users' preferences. While in [15] the use of rule-based learning is discussed in the personalization of visualization of temporal data, in [16] the results of a controlled experiment carried out with health professionals are presented. The proposed approach is extensible to other domains that share data that can be organized into informational clusters.…”
Section: Computer-aided Diagnosis and Therapymentioning
confidence: 99%