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Smartphone app monitors mental health status

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In March 2018 the Palo Alto startup Mindstrong Health, founded by three doctors, began clinical tests of an app that uses patients' interactions with their smartphones to monitor their mental state. The app, which is being tested on people with serious illness, measures the way patients swipe, tap, and type into their phones; the encrypted baseline and ongoing data is then analysed using machine learning to find patterns that indicate brain disorders such as a relapse into depression, substance abuse, or schizophrenia. A study at the University of Michigan hopes to establish whether the app can help those who are not mentally ill but are at high risk for depression and suicide.

https://www.technologyreview.com/s/612266/the-smartphone-app-that-can-tell-youre-depressed-before-you-know-it-yourself/

writer: Rachel Metz
Publication: Technology Review
 

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People must know what data is generated and processed

People must be able to know what data is being generated by devices, the networks and platforms we use, and the infrastructure within which devices become embedded. People should be able to know and ultimately determine the manner of processing.
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Limit data analysis by design

As nearly every human interaction now generates some form of data, systems should be designed to limit the invasiveness of data analysis by all parties in the transaction and networking.
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Control over intelligence

Individuals should have control over the data generated about their activities, conduct, devices, and interactions, and be able to determine who is gaining this intelligence and how it is to be used.
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We may challenge consequential decisions

Individuals should be able to know about, understand, question and challenge consequential decisions that are made about them and their environment. This means that controllers too should have an insight into and control over this processing.
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