Machine Learning in Digital Medicine
To view complete details for this event, click here to view the announcement
Machine Learning in Digital Medicine
Digitalize human beings using biosensors to track our complex physiologic system, process the large amount of data generated with artificial intelligence (AI) and change clinical practice towards individualized medicine: these are the goals of digital medicine. At Scripps, we are a team of computer scientists, engineers, and clinical researchers, in partnership with health industries, and we propose new solutions to analyze large longitudinal data using statistical learning and deep convolutional neural networks to address different cardiovascular health issues.
One of the greatest contributors to premature mortality worldwide is hypertension. Lowering blood pressure (BP) by just a few mmHg can bring substantial clinical benefits, but it is hard to assess the “true” BP for an individual, since it fluctuates significantly. With a dataset of 16 million BP measurements, we unveil the BP patterns and provide insights on the clinical relevance of these changes.
Another prevalent health issue is atrial fibrillation (AF), the most common sustained cardiac arrhythmia, associated with stroke, heart failure and coronary artery disease. AF detection from single-lead electrocardiography (ECG) recordings is still an open problem, as AF events may be episodic and the signal noisy. We conduct a thoughtful analysis of recent convolutional neural network architectures developed in the computer vision field, redesigned to be suitable for a one-dimensional signal, and we evaluate their performance in the detection of AF using 200 thousand seconds of ECG, highlighting the potential and pitfall of this technology.
Looking to the future, we investigate new applications for wearable devices and advanced processing in the All of Us Research Program, an unprecedented research effort to gather data from one million people in the USA to accelerate the advent of precision medicine.
Date and Time
- Date: 14 Aug 2019
- Time: 03:30 PM to 05:00 PM
- All times are US/Central
Add Event to Calendar
Location
- 201 W Mifflin St
- Madison, Wisconsin
- United States 53703
- Building: Madison Central Library
- Room Number: Conference Room 104
Contact
Registration
- Starts 05 August 2019 07:02 AM
- Ends 14 August 2019 03:00 PM
- All times are US/Central
- No Admission Charge
Speakers
Dr Giorgio Quer
This even will be located at the Madison Central Library in the first floor conference room (Room 104).
