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Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison

, , , , , and . Scientific Reports, 10 (1): 16411 (2020)
DOI: 10.1038/s41598-020-73402-8

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Subpopulation Discovery in Epidemiological Data with Subspace Clustering, , , and . Foundations of Computing and Decision Sciences (FCDS), 39 (4): 271-300 (2014)3D Regression Heat Map Analysis of Population Study Data, , , , , , and . IEEE Transactions on Visualization and Computer Graphics (TVCG), 22 (1): 81-90 (2015)Gender-Specific Differences in Patients With Chronic Tinnitus—Baseline Characteristics and Treatment Effects, , , , and . Frontiers in Neuroscience, (2020)A cost-based multi-layer network approach for the discovery of patient phenotypes., , , and . CoRR, (2022)Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity., , , , , , , and . DSAA, page 246-255. IEEE, (2018)Predicting polarities of entity-centered documents without reading their contents., , , , and . SAC, page 525-528. ACM, (2018)Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets, , , and . European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), volume 8726 of Lecture Notes in Computer Science, page 460-463. Springer Berlin Heidelberg, (2014)Exploiting entity information for stream classification over a stream of reviews., , , , , and . SAC, page 564-573. ACM, (2019)Plantar temperatures in stance position: A comparative study with healthy volunteers and diabetes patients diagnosed with sensoric neuropathy, , , , , , , , , and . EBioMedicine, (2020)Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction, , , , , and . Expert Systems with Applications, (April 2023)