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Predicting Anxiety in Routine Palliative Care Using Bayesian-Inspired Association Rule Mining.

, , , , , , , and . Frontiers Digit. Health, (2021)

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Improving Dyspnoea Symptom Control of Patients in Palliative Care Using a Smart Patch-A Proof of Concept Study., , , , , , , , , and 2 other author(s). Frontiers Digit. Health, (2021)Detecting Respiratory Effort-Related Arousals in Polysomnographic Data Using LSTM Networks., , , , , , , and . CinC, page 1-4. www.cinc.org, (2018)Segmentation of Radar-Recorded Heart Sound Signals Using Bidirectional LSTM Networks., , , , , , , , , and 1 other author(s). EMBC, page 6677-6680. IEEE, (2019)Predicting Anxiety in Routine Palliative Care Using Bayesian-Inspired Association Rule Mining., , , , , , , and . Frontiers Digit. Health, (2021)A Lightweight Robust Approach for Automatic Heart Murmurs and Clinical Outcomes Classification from Phonocardiogram Recordings., , , , , , , , and . CinC, page 1-4. IEEE, (2022)Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning., , , , , , , , , and 1 other author(s). BHI, page 1-4. IEEE, (2023)A contactless system for continuous vital sign monitoring in palliative and intensive care., , , , , , and . SysCon, page 1-8. IEEE, (2018)