A Systematic Way of Collecting Data of Insomniac Patients

Abstract

Insomnia (a sleeping disorder) can also be defined as sleeplessness that means facing trouble in falling or staying asleep. In this 20 th century, this disorder is very common among the olds and also teenagers. This disorder can harm vastly in our physical and mental health. So this is a serious fact in medical science. But these patients are rarely been hospitalized. Doctors usually predict this disorder considering the symptoms of patients. They use a questionnaire for it. Sleeping status, mental and physical conditions of patients both include in it. From the early days, it was a challenge for researchers to collect the data of these patients and analyze it. And the collection of these kinds of data is also a very difficult task to do. As this disorder expresses the mental and physical condition of a patient, one feels very uncomfortable to share their personal information with others. So there is no standard dataset available related to Insomnia. We have decided to collect the data of insomniac people for further research in the medical field. And an intelligent method is developed for the collection of data. Our dataset is preserved in such a way that machine learning algorithms can classify them in categories. Therefore the main objective of this study is to clarify the symptoms of this disorder and make a large dataset of it so that researchers can easily analyze the data and can make the appropriate output from their researches.