Telemedicine-aided decision-making method for chronic obstructive pulmonary disease
A chronic obstructive pulmonary disease and telemedicine technology, applied in the field of telemedicine, can solve the problems that the treatment of chronic obstructive pulmonary disease cannot meet the needs of telemedicine, and achieve the effects of easy implementation, enhanced accuracy, and simple principle
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[0026] Below the embodiment of the present invention is described further:
[0027] A telemedicine assisted decision-making method for chronic obstructive pulmonary disease, comprising the following steps:
[0028] Step 1. Input x=[x 1 , x 2 , x 3 , x 4 ], where x 1 Respiratory rate, the unit is: times / 10 seconds; x 2 It is the pulse oxygen saturation, the unit is: %; x 3 is the blood pressure, the unit is: mmHg, x 4 is body temperature, unit: °C;
[0029] Step 2. Measure m groups of input data and record as i=1~m;
[0030] Step 3. Define the sigmoid function and classification boundary functions Integrate the logistic regression model function
[0031] Step 4. Define the cost function and use gradient descent Find the maximum value of the cost function Wherein i=1, 2,..., m is the number of samples, j=1, 2,..., n is the number of features;
[0032] Step 5, bring θ into the logistic regression model function, and draw the classification boundary;
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