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EAI HealthWear 2023 : 4th EAI International Conference on Wearables in Healthcare

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Link: https://healthwear-conference.eai-conferences.org/2023/
 
When Oct 24, 2023 - Oct 26, 2023
Where Bratislava, Slovakia
Submission Deadline Jul 31, 2023
Notification Due Aug 15, 2023
Final Version Due Sep 15, 2023
Categories    wearable devices   experiment design   healthcare   self-tracking
 

Call For Papers

The combination of wearable devices and personalized medicine is proving to be a game-changer for healthcare. Wearable devices have created an ecosystem of self-tracking devices, smartphone apps, and related services that capture a variety of relevant health and fitness parameters. These devices allow individuals to track their health metrics such as heart rate, blood pressure, physical activity levels, sleep patterns, and more.

The collected data is then analyzed using various techniques from information science, sociology, psychology, statistics, machine learning, and data mining. This analysis provides new opportunities to enrich the understanding of individual and population health. Self-tracking data can provide better measures of everyday behavior and lifestyle and can complement more traditional clinical data collection, leading to a comprehensive picture of health.

Personalized medicine, on the other hand, focuses on tailoring healthcare to individual needs based on their genetic makeup, lifestyle, and environmental factors. It allows for more precise diagnoses, targeted treatments, and better outcomes.

Overall, the combination of wearable devices and personalized medicine is transforming the way we approach prevention, cure, and rehabilitation. It is enabling individuals to take charge of their health and provides healthcare providers with more data-driven insights to deliver targeted and effective treatments.

HealthWear 2023 brings together researchers, developers, designers, and industry professionals from the healthcare community and universities to discuss the key issues, opportunities, and obstacles for personal health data research. They will explore the challenges of capturing, summarizing, presenting, and retrieving relevant information from heterogeneous sources to support a new vision of pervasive personal healthcare.

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