Predictive Modeling and Machine Learning – Disruptive Tools enabling Digital Health ? – Challenges and Opportunities
There is a fair amount of hope, if not hype, to the extent that computational techniques can transform our understanding of biology, early discovery of disease, and augmenting health. This includes improved access to healthcare, tools for supporting a healthy lifestyle, and enabling research tools for the clinician as well as for the fundamental life-scientist.
There is a fair amount of hope, if not hype, to the extent that computational techniques can transform our understanding of biology, early discovery of disease, and augmenting health. This includes improved access to healthcare, tools for supporting a healthy lifestyle, and enabling research tools for the clinician as well as for the fundamental life-scientist.
Using a couple of real-world examples from our work – monitoring the health of an athlete, building web-based research interfaces for clinicians, and predictive analytics from hospital records (in-patient-out-patient data) – I’l discuss challenges and opportunities in this space.
