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- Audio Signal Analysis (1)
- COVID-19 (1)
- ClinicalConnect (1)
- Cost-Sensitive ML (1)
- Cough Analysis (1)
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- Cough Sound (1)
- Crowdsourced Data (1)
- E-Health (1)
- EMR Integration (1)
- EMR Use (1)
- Electronic Medical Record (EMR) (1)
- Lifestyle data (1)
- Machine Learning (1)
- Machine learning (1)
- Maturity Model (1)
- Mobile computing (1)
- Physician Experiences (1)
- Primary Health Care (1)
- Regional Integration (1)
- South West Ontario (1)
- Type-2 diabetes (1)
Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Respiratory Pattern Analysis For Covid-19 Digital Screening Using Ai Techniques, Annita Tahsin Priyoti
Respiratory Pattern Analysis For Covid-19 Digital Screening Using Ai Techniques, Annita Tahsin Priyoti
Electronic Thesis and Dissertation Repository
Corona Virus (COVID-19) is a highly contagious respiratory disease that the World Health Organization (WHO) has declared a worldwide epidemic. This virus has spread worldwide, affecting various countries until now, causing millions of deaths globally. To tackle this public health crisis, medical professionals and researchers are working relentlessly, applying different techniques and methods. In terms of diagnosis, respiratory sound has been recognized as an indicator of one’s health condition. Our work is based on cough sound analysis. This study has included an in-depth analysis of the diagnosis of COVID-19 based on human cough sound. Based on cough audio samples from …
Regional Integration: Physician Perceptions On Electronic Medical Record Use And Impact In South West Ontario, Sadiq Raji
Electronic Thesis and Dissertation Repository
Regional initiatives in the health care context in Canada are typically organized and administered along geographic boundaries or operational units. Regional integration of Electronic Medical Records (EMR) has been continuing across Canadian provinces in recent years, yet the use and impact of regionally integrated EMRs are not routinely assessed and questions remain about their impact on and use in physicians’ practices. Are stated goals of simplifying connections and sharing of electronic health information collected and managed by many health services providers being met? What are physicians’ perspectives on the use and impact of regionally integrated EMR? In this thesis, I …
Machine Learning Of Lifestyle Data For Diabetes, Yan Luo
Machine Learning Of Lifestyle Data For Diabetes, Yan Luo
Electronic Thesis and Dissertation Repository
Self-Monitoring of Blood Glucose (SMBG) for Type-2 Diabetes (T2D) remains highly challenging for both patients and doctors due to the complexities of diabetic lifestyle data logging and insufficient short-term and personalized recommendations/advice. The recent mobile diabetes management systems have been proved clinically effective to facilitate self-management. However, most such systems have poor usability and are limited in data analytic functionalities. These two challenges are connected and affected by each other. The ease of data recording brings better data for applicable data analytic algorithms. On the other hand, the irrelevant or inaccurate data input will certainly commit errors and noises. The …