2024
DOI: 10.1136/bmj.q510
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Illness trajectories in the age of big data

Peter Tanuseputro,
Colleen Webber,
James Downar

Abstract: Advanced analytics may help move from population to personalised predictions

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Cited by 2 publications
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“…What’s clear is that these tools are useful and complex and that any one person’s trajectory is inherently unpredictable, factors that lend themselves to the “digital age of big data, data science, and advanced analytics” (doi:10.1136/bmj.q510). 2…”
mentioning
confidence: 99%
“…What’s clear is that these tools are useful and complex and that any one person’s trajectory is inherently unpredictable, factors that lend themselves to the “digital age of big data, data science, and advanced analytics” (doi:10.1136/bmj.q510). 2…”
mentioning
confidence: 99%