Precision health involves utilizing all we know about an individual, not treating everyone as an average patient. Delivering more personalized care requires tools that collect and make sense of a range of data to allow for targeted, precise treatment. Humans cannot possibly hope to be able to connect all we know in health today with all that is known about a patient, process his information and provide advice to a patient in a 15-minute consultation. Machine learning, and particularly deep learning, has proven to be helpful for high-intensity modeling of health data. This involves processing a large volume and variety of data to uncover patterns at both an individual level and a population level. Precision Driven Health’s research is harnessing New Zealand’s unique combination of linked electronic healthcare data and world-class research capability to enable the development of data-driven solutions that can be applied globally. Presented by Kevin G. Ross, PhD, CEO, Precision Driven Health, New Zealand.
- Recognize how machine learning models can help clinical practice to become personalized care
- Recognize the role that data plays in decision support: the breadth of data we need to understand, and the scale of records we need to study
- Identify how to engage the clinical community with data scientists to co-develop solutions
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