Predicting Multi-dimensional Surgical Outcomes with Multi-modal Mobile Sensing: A Case Study with Patients Undergoing Lumbar Spine Surgery
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Mental Health Apps & Online Support CommunitiesBiosensors & Physiological MonitoringPhysicians, Nurses & CliniciansSurgeons (Surgical Assistance Systems)
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Research Questions
3- How can multimodal data (e.g., smartphone and wearable data) predict multidimensional rehabilitation outcomes after lumbar spine surgery?Category: Rehabilitation Training and Physiotherapy Technology SupportSimilar questionsarrow_forward
- Which data patterns and features are most important for predicting postoperative recovery (e.g., pain interference, physical function, and rehabilitation quality)?Category: Rehabilitation Training and Physiotherapy Technology SupportSimilar questionsarrow_forward
- How can dynamic learning weighting methods optimize multi-task learning model performance?Category: Rehabilitation Training and Physiotherapy Technology SupportSimilar questionsarrow_forward
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Practical Problems
1- Patients' multidimensional rehabilitation processes after lumbar spine surgery are difficult to predict accurately.Category: Rehabilitation Training and Physiotherapy Technology SupportSimilar questionsarrow_forward
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AirECG: Contactless Electrocardiogram for Cardiac Disease Monitoring via mmWave Sensing and Cross-domain Diffusion Model
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UbiComp
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Year
2024
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11 authors
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Subtopics
Mental Health Apps & Online Support Communities, Biosensors & Physiological Monitoring
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Professions
Physicians, Nurses & Clinicians, Surgeons (Surgical Assistance Systems)
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