Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation

S Rajendran, W Pan, MR Sabuncu, Y Chen, J Zhou… - Patterns, 2024 - cell.com
In healthcare, machine learning (ML) shows significant potential to augment patient care,
improve population health, and streamline healthcare workflows. Realizing its full potential …

Patchwork learning: A paradigm towards integrative analysis across diverse biomedical data sources

S Rajendran, W Pan, MR Sabuncu, Y Chen… - arXiv preprint arXiv …, 2023 - arxiv.org
Machine learning (ML) in healthcare presents numerous opportunities for enhancing patient
care, population health, and healthcare providers' workflows. However, the real-world …

Inference-enabled tracking of acute mental stress via multi-modal wearable physiological sensing: A proof-of-concept study

Y Zhou, AS Mousavi, YR Chalumuri, JD Parreira… - Biocybernetics and …, 2024 - Elsevier
Objective To develop a novel algorithm for tracking acute mental stress which can infer
acute mental stress state from multi-modal digital signatures of physiological parameters …

Identification of blood loss based on multiple physiological parameters

R Chen, M He, S Liu, S Xiao, C Wang, J Xu… - … Signal Processing and …, 2024 - Elsevier
Excessive blood loss during emergency trauma or clinical surgery can lead to shock or even
death. Accurate identification of blood loss can seize treatment opportunities and thus …

[HTML][HTML] Non-invasive waveform analysis for emergency triage via simulated hemorrhage: An experimental study using novel dynamic lower body negative pressure …

N Nesaragi, LØ Høiseth, HA Qadir… - biocybernetics and …, 2023 - Elsevier
The extent to which advanced waveform analysis of non-invasive physiological signals can
diagnose levels of hypovolemia remains insufficiently explored. The present study explores …

[PDF][PDF] Intelligent System for the Classification of Arterial Blood Pressure Waveform Abnormalities Due to Mistiming in Intra-Aortic Balloon Pump

ZA Wajeeh, SJ Hamandi… - Journal of Intelligent …, 2024 - researchgate.net
Cardiovascular diseases detection or diagnosis on appropriate time is crucial to avoid
health complications. In this study, an advanced procedure for classifying changes in the …

Monitoring Blood Volume Decomposition State for Traumatic Stress-Induced Hemorrhage via Wearable Sensing and Ensemble Learning

MA Sarwar, W Saadeh - 2023 IEEE International Symposium …, 2023 - ieeexplore.ieee.org
This paper presents an ensemble machine-learning approach to monitor the blood volume
decomposition state for early hypovolemia detection. Hypovolemia is one of the major …