One company already has plans to apply this algorithm for remote patient monitoring, and the team is hoping to implement it as an app for simple, user friendly in-home care environments.
Algorithms can also assist in the detection of influenza; an algorithm has been developed to assist in the interpretation of influenza testing results and clinical decision-making during periods when influenza viruses are NOT circulating in the community. Most existing influenza tests have high specificity, so false positive results are more common when influenza activity is low.
It is important to ascertain if the patient has an epidemiological link to someone with known influenza. If influenza is detected, antiviral treatment is recommended as soon as possible to minimise its effects in both short- and long-term situations.
Not to be confused with influenza, the common cold virus can alter how a person’s voice sounds because the vocal cords often become inflamed, which changes their acoustic properties. These changes can be detected by algorithm too so, faking sickness will get harder and taking a day off work by nervously coughing down the phone to your boss might no longer ‘cut it” if your company can tell via algorithm if you really have a cold.
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