Titlebook: Artificial Intelligence in Medicine; 20th International C Martin Michalowski,Syed Sibte Raza Abidi,Samina Ab Conference proceedings 2022 Th

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NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularizationtom checking systems based on Bayesian methods, decision trees, or information gain methods are easy to train and do not require significant computational resources. However, their drawbacks are low relevance of proposed symptoms and insufficient quality of diagnostics. The best results on these tas

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Recurrence and Self-attention vs the Transformer for Time-Series Classification: A Comparative Study, leading to the decline in the use of recurrence in neural network models. As established in the seminal paper, Attention Is All You Need, recurrence can be removed in favor of a simpler model using only self-attention. While transformers have shown themselves to be robust in a variety of text and

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Instrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Deviceslth and mental health, where fine-grained monitoring of patients form the basis for so-called ecological momentary assessments and interventions, play a central role as complementary technology-based and data-driven instruments to traditional psychological treatments. Mobile devices are hereby key e

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