SUPPORTING DOCUMENTS

Risk Factor Analysis For Sleep Disorders
Lay Description
Sleep disorders can be excruciating to experience. Each one of them has detrimental effects on a person, from lack of sleep to too much sleep, and even difficulty breathing while sleeping. All these lead insomnia, narcolepsy, and sleep apnea to pose an impending threat to a progressing society. Considering the importance of sleep for productivity and brain function, this sleep epidemic is not only harmful to the individual, but also impacts the overall wellbeing of a community. Once diagnosed with one of these conditions, maintaining a successful lifestyle can become extremely challenging. Additionally, it’s a strenuous process to fix the circadian rhythm and work back towards a healthy sleep cycle. Sleep disorders can also lead to variety of other health effects like depression, obesity, and heart disease (Sleep Disorders: Types, Causes, Symptoms and Treatment, 2023). It is crucial to identify the risk factors to prevent the development of a sleep disorder and avoid all the tribulation that comes with a diagnosis. Predicting someone’s likelihood of having these three disorders enables them to become aware of their risk and leaves them space to make changes in their lifestyle. Such awareness could ultimately spare many people from having to deal with the stress that accompanies a sleep condition.
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This is an image of the output of the code from the TensorFlow model.
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