Artificial Intelligence for Healthcare Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World
Book contents
2 - How AI Can Help Depression Treatment
Designing Patient-Specific Adaptive Interventions
from Part I - Personalized Medicine
Published online by Cambridge University Press: 21 April 2022
Summary
Designing AI-assisted technology to better understand major depressive disorder and further develop appropriate strategies for monitoring and treatment of major depression under resource constraints is an important and challenging task. In this chapter, we present seven studies that developed methods for AI-assisted, data-driven decision support systems to aid healthcare professionals. These methods focus on modeling chronic depression’s complex disease trajectories, identifying patients at high risk of progression, and recommending adaptive and cost-effective follow-up care. Long-term goals of this research include improving patient health outcomes and facilitating efficient allocation of healthcare providers’ limited resource through the use of novel technology.
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- Artificial Intelligence for HealthcareInterdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World, pp. 15 - 36Publisher: Cambridge University PressPrint publication year: 2022
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