Intelligent sleep monitoring method and system based on real-world research
A sleep monitoring, real-world technology, applied in the field of sleep research, which can solve the problems of not being able to monitor sleep quality at home, missing the best treatment time, etc.
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example 1
[0061] An intelligent sleep monitoring method based on real-world research, including steps:
[0062] S1: Establish an evaluation object, and acquire real-world historical sleep data of the evaluation object;
[0063] S2: After cleaning and classifying the real-world historical sleep data in step S1, obtain a sleep quality evaluation data set through sentiment analysis;
[0064] S3: train the sleep quality evaluation data set of step S2, and establish a sleep quality prediction model of sleep non-related data;
[0065] S4: Obtain the current non-relevant real-world data of the evaluation object to form an input set, and output the sleep quality evaluation result through the sleep quality prediction model in step S3;
[0066] S5: Summarize sleep-influencing factors through clustering algorithms, and establish sleep-related data sets with identification attributes of influencing factors;
[0067] S6: Train sleep-related data sets with identification attributes of influencing f...
example 2
[0083] Intelligent sleep monitoring system, including:
[0084] Real-world data collection module, used to search and crawl historical sleep data;
[0085] Data cleaning and classification module, used to clean and classify historical sleep data;
[0086] Training, verification and test data set integration module, used for training, verification and testing of historical sleep data;
[0087] The sleep quality monitoring and evaluation module is used to judge the emotional tendency of the evaluation object on sleep topics, and determine the evaluation object's evaluation of its own sleep quality;
[0088] The cluster analysis module of sleep influencing factors is used to calculate the Perplexity value of the cleaned training and verification data to determine cluster data, cluster the cluster data, and extract keywords of each category as real world evidence of sleep influencing factors;
[0089] The sleep influencing factor classification module is used to classify the sle...
example 3
[0103] For example: the cleaned up data: "Recently I feel very irritable, I can't sleep well, I wake up at night and take some medicine, but I can't sleep well", another message sent by the commenter that day "Fortunately, the pharmacy downstairs is open 24 hours ", the sorted "I can't sleep well, and I can't sleep well" as the input set of the sleep quality detection and evaluation module; the sleep-related data in units of bars "I feel very irritable recently, and I can't sleep well at night. Get up and eat something, and don’t sleep well” as the data input set of the cluster analysis module of factors affecting sleep; data that is not related to sleep in units of bars “Fortunately, the pharmacy downstairs is open 24 hours” is used as the data input set of the classification module of factors affecting sleep Data input set. The separation of sleep-related data sets in this example is based on the lexicon to identify "sleep" / "sleep" related data sets, and establish the "sleep...
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