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Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch.

, , , , , , and . Artif. Intell. Medicine, (2021)

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Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning., , , , , , , , , and 3 other author(s). IWANN, volume 4507 of Lecture Notes in Computer Science, page 1012-1019. Springer, (2007)Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications., , , , , , , , and . J. Biomed. Informatics, (2022)Guest editorial: Special issue in biomedical data quality assessment methods., , , , and . Comput. Methods Programs Biomed., (2019)Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality., , , , and . Data Min. Knowl. Discov., 29 (4): 950-975 (2015)Discovering Data Source Stability Patterns in Biomedical Repositories Based on Simplicial Projections from Probability Distribution Distances., , and . CBMS, page 600-605. IEEE Computer Society, (2017)Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset., , , and . J. Am. Medical Informatics Assoc., 28 (2): 360-364 (2021)Measuring Variability in Acute Myocardial Infarction Coding Using a Statistical Process Control and Probabilistic Temporal Data Quality Control Approaches., , , , , , , and . WorldCIST (2), volume 1366 of Advances in Intelligent Systems and Computing, page 193-202. Springer, (2021)Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch., , , , , , and . Artif. Intell. Medicine, (2021)Comparative study of probability distribution distances to define a metric for the stability of multi-source biomedical research data., , and . EMBC, page 3226-3229. IEEE, (2013)Towards a Computational Approach for the Assessment of Compliance of ALCOA+ Principles in Pharma Industry., , , , , , and . MIE, volume 294 of Studies in Health Technology and Informatics, page 755-759. IOS Press, (2022)