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KI für Gesundheitsfachkräfte. Chancen und Herausforderungen von medizinischen und pflegerischen KI-Anwendungen

, , , , , , , , , , , , and . Whitepaper aus der Plattform Lernende Systeme, (April 2023)

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KI für Gesundheitsfachkräfte. Chancen und Herausforderungen von medizinischen und pflegerischen KI-Anwendungen, , , , , , , , , and 3 other author(s). Whitepaper aus der Plattform Lernende Systeme, (April 2023)DeepSigns: A predictive model based on Deep Learning for the early detection of patient health deterioration., , , , and . Expert Syst. Appl., (2021)Behind the Machine's Gaze: Biologically Constrained Neural Networks Exhibit Human-like Visual Attention., , , and . CoRR, (2022)Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards., , , , and . Artif. Intell. Medicine, (2018)Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab Analyser., , , and . EDM, International Educational Data Mining Society, (2020)Identifying untrustworthy predictions in neural networks by geometric gradient analysis., , , , , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 854-864. AUAI Press, (2021)Simulating Human Gaze with Neural Visual Attention., , , and . CoRR, (2022)Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis., , , , , and . Sensors, 17 (9): 1940 (2017)Blood glucose level prediction based on support vector regression using mobile platforms., , , , , and . EMBC, page 2990-2993. IEEE, (2016)A Mobile Solution for Rhythmic Auditory Stimulation Gait Training., , , , , , , , , and . EMBC, page 309-312. IEEE, (2019)