Intelligent medical system based on big data
A medical system and big data technology, applied in patient-specific data, computer-aided medical procedures, medical science, etc., can solve problems such as no data analysis, no evaluation of comprehensive data, no consideration of the impact of historical data, etc., to improve medical care Safety, the effect of raising attention
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Embodiment 1
[0056] The data acquisition module is used to collect the user's electronic medical record information and transmit the user's electronic medical record information to the data analysis module. The electronic medical record information includes the diagnosis time, the length of diagnosis and treatment, and the detailed description of the disease condition; the detailed description of the disease condition carries the threat level information of the disease condition; The higher the threat level of the disease, the more serious the disease;
[0057] The data analysis module is used to receive and analyze the user's electronic medical record information. The specific analysis steps are:
[0058] S1: Obtain the user's electronic medical record information within three years before the current time of the system; mark the corresponding diagnosis time in the electronic medical record information as ZT; calculate the time difference between the diagnosis time and the current system t...
Embodiment 2
[0073] The controller is also used to generate a sign analysis signal and send the sign analysis signal to the sign analysis module after receiving the user's diagnosis and treatment coefficient ZL and the corresponding evaluation signal, and the sign analysis module is used to receive and analyze the user's sign parameter information; Parameter information includes heart rate, body temperature, blood pressure, sleep quality, and blood sugar; the specific analysis steps are:
[0074] Step 1: Obtain the user's physical sign parameter information; mark the user's real-time heart rate as M1, mark the user's real-time body temperature as M2, mark the user's blood pressure as M3, mark the user's sleep quality as M4, and mark the user's blood sugar for M5;
[0075] Step 2: Use the formula XZ=η×(M1×g1+M2×g2+M3×g3+M5×g4) / (M4×g5) to calculate the user’s heart health coefficient XZ; where g1, g2, g3, g4, g5 are proportional coefficients;
[0076] Establish a graph of the heart health ...
Embodiment 3
[0092]The controller is also used to transmit the corresponding user's sign parameter information to the associated early warning module after receiving the sign abnormal signal; the associated early warning module is used to transmit the sign abnormal signal and the corresponding user's sign parameter information to the mobile terminal of the corresponding family member Early warning; the specific steps are:
[0093] V1: The associated early warning module sends a location acquisition command to the mobile phone terminal of the family member to obtain the current real-time location of the mobile phone terminal of the family member; calculates the distance difference between the current real-time location of the family member and the user's location to obtain the personnel distance D1;
[0094] Mark the family members whose distance D1 is less than the preset distance threshold as primary candidates, and mark the mobile terminals of primary candidates as primary terminals;
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