A5102708825- Radiomics and Machine Learning in Medical Imaging
- Mental Health Research Topics
- Machine Learning in Healthcare
- Parkinson's Disease Mechanisms and Treatments
- Balance, Gait, and Falls Prevention
- Health, Environment, Cognitive Aging
- Gastrointestinal Tumor Research and Treatment
- Gastric Cancer Management and Outcomes
Northwest University
2023
University of Michigan–Ann Arbor
2018-2019
In this study, we apply a multidisciplinary approach to investigate falls in PD patients using clinical, demographic and neuroimaging data from two independent initiatives (University of Michigan Tel Aviv Sourasky Medical Center). Using machine learning techniques, construct predictive models discriminate fallers non-fallers. Through controlled feature selection, identified the most salient predictors patient including gait speed, Hoehn Yahr stage, postural instability difficulty-related...
Abstract The UK Biobank is a rich national health resource that provides enormous opportunities for international researchers to examine, model, and analyze census-like multisource healthcare data. archive presents several challenges related aggregation harmonization of complex data elements, feature heterogeneity salience, analytics. Using 7,614 imaging, clinical, phenotypic features 9,914 subjects we performed deep computed phenotyping using unsupervised clustering derived two distinct...
The clinical diagnosis of gastrointestinal stromal tumors (GISTs) requires time-consuming tumor localization by physicians, while automated detection GIST can help physicians develop timely treatment plans. Existing methods based on fully supervised deep learning require a large amount labeled data for the model training, but acquisition is often and labor-intensive, hindering optimization model. However, semi-supervised method perform better than with only small because full use unlabeled...