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Articles 1 - 3 of 3
Full-Text Articles in Biomedical Informatics
Security And Privacy Of Wearable And Implantable Medical Devices: A Course-Based Approach To Medical Device Cybersecurity Education, Michelle M. Ramim
Security And Privacy Of Wearable And Implantable Medical Devices: A Course-Based Approach To Medical Device Cybersecurity Education, Michelle M. Ramim
Journal of Cybersecurity Education, Research and Practice
As wearable and implantable medical devices become integral to remote patient monitoring and precision medicine, the associated cybersecurity and privacy risks demand urgent attention. These devices are increasingly targeted by cyberattacks, potentially endangering patient safety and data integrity. To address this, we developed an experiential learning course titled Security and Privacy of Wearable and Implantable Medical Devices, designed for advanced undergraduate and graduate students in health and medical fields. The course immerses students in real-world challenges through lectures, labs, and project-based learning, leveraging wearable devices such as FitBitTM to analyze and interpret real-time personal health data. The curriculum …
Machine Learning Approaches For Predicting Dental Caries In Permanent Molars Of Children And Adolescents Using Nhanes 2011-16 Data, Pritam Deb, Christina Scherrer Phd, Lin Li Phd
Machine Learning Approaches For Predicting Dental Caries In Permanent Molars Of Children And Adolescents Using Nhanes 2011-16 Data, Pritam Deb, Christina Scherrer Phd, Lin Li Phd
Symposium of Student Scholars
Dental caries remains a prevalent chronic disease among children, significantly affecting their quality of life, educational outcomes, and school attendance. Between 2011 and 2016, caries affected 17.4% of children aged 6-11 and 56.8% of adolescents aged 12-19, with higher incidences among non-Hispanic Black and Mexican American youth, and those from lower-income families. This study aims to develop a robust machine learning model to predict the presence of decayed, missing, or filled permanent molars (DMFT) in children and adolescents using demographic, dietary, and oral health examination data from the National Health and Nutrition Examination Survey (NHANES) for the years 2011 to …
Medical Imaging Dataset Management Leveraging Deep Learning Frameworks In Breast Cancer Screening, Inchan Hwang
Medical Imaging Dataset Management Leveraging Deep Learning Frameworks In Breast Cancer Screening, Inchan Hwang
Dissertations
In the domain of Computer-Aided Diagnosis (CADx) for breast cancer diagnosis through mammography, prevailing models have traditionally been trained and validated using old film-based mammography. However, contemporary U.S. hospital practices involve the utilization of Full Field Digital Mammography (FFDM), offering more detailed images captured at various angles than old film-scanned mammography. Despite this shift, the existing body of research predominantly focuses on old-film based datasets, the implications of FFDM for CADx systems have not been understood. This dissertation addresses the issues emerged from FFDM such as data augmentation between old film-based set and new FFDM whether they are more effective …