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Comparative assessment of statistical and machine learning techniques towards estimating the risk of developing type 2 diabetes and cardiovascular complications.

, , , and . Expert Syst. J. Knowl. Eng., (2017)

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Comparative assessment of statistical and machine learning techniques towards estimating the risk of developing type 2 diabetes and cardiovascular complications., , , and . Expert Syst. J. Knowl. Eng., (2017)A Multimodal Approach for Real Time Recognition of Engagement towards Adaptive Serious Games for Health., , , , , , and . Sensors, 22 (7): 2472 (2022)Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images., , , , , and . EMBC, page 3902-3905. IEEE, (2021)A Two-Level Food Classification System For People With Diabetes Mellitus Using Convolutional Neural Networks., , , and . EMBC, page 2603-2606. IEEE, (2018)Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis., , , and . EMBC, page 2310-2313. IEEE, (2021)Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI., , , , , , and . MLMI@MICCAI, volume 10019 of Lecture Notes in Computer Science, page 296-304. (2016)A hybrid genetic algorithm for the selection of the critical features for risk prediction of cardiovascular complications in Type 2 Diabetes patients., , , , and . BIBE, page 1-4. IEEE Computer Society, (2013)Evaluation of a Serious Game Promoting Nutrition and Food Literacy: Experiment Design and Preliminary Results., , , , and . BIBE, page 497-502. IEEE, (2019)Semantic Representation of Multimedia Content., , , , , and . Knowledge-Driven Multimedia Information Extraction and Ontology Evolution, volume 6050 of Lecture Notes in Computer Science, Springer, (2011)A Modified All-and-One Classification Algorithm Combined with the Bag-of-Features Model to Address the Food Recognition Task., , and . HEALTHINF, page 284-290. SciTePress, (2017)