Machine learning offers potential new approaches to aid the clinical diagnosis of depression – a condition that affects over 300 million people around the world and costs the global economy an estimated $1 trillion every year. However, it's a pursuit that raises tough questions about how we define and quantify the problem, as well as ethical and logistical challenges.
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