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Body data could provide a 24-hour warning for headaches

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Body data could provide a 24-hour warning for headaches

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Some people who suffer a concussion struggle with headaches and fatigue afterward. These symptoms follow a consistent pattern that could be used to warn the patient a full day before they set in.

The patterns are distinct enough for specific types of artificial intelligence models to detect and learn from them. A recent study shows that the models could predict moderate to severe headaches and fatigue with moderate to good accuracy 24 hours before the symptoms occurred.

The research is published in the Journal of Head Trauma Rehabilitation.

"There are strong indications that the symptoms experienced the following day do not occur randomly in people struggling with persistent postconcussion issues," says Antonios Danelakis, a researcher at NTNU's Department of Computer Science and the Norwegian Centre for Headache Research (NorHead).

"The symptoms can follow specific patterns. AI can learn these patterns by training on physiological data collected over time."

Some individuals struggle with symptoms—particularly headaches and fatigue—long after the initial concussion. The goal of the NorHead researchers' study was to predict symptoms in this group. The possibility of receiving a notification via a smartwatch or app warning that symptoms are imminent could enable patients to prepare and plan their next day more effectively.

Tools like this would also provide valuable information to the health care professionals who treat these patients.

The researchers behind the study combined the use of health apps and physiological data with what are known as "foundation models" in machine learning.


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