Therapeutic scheme selection method and system
A treatment plan, the technology of the plan, applied in the medical field, can solve the problems such as the inability to choose the treatment plan, the lack of medical experience, and the inability to complete it in a short time.
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Embodiment 1
[0022] figure 1 It is a flow chart of a method for selecting a treatment plan provided by Embodiment 1 of the present invention. This embodiment can be applied to help doctors choose the best treatment plan from a variety of treatment plans. The method can be selected by the treatment plan system, which specifically includes the following steps:
[0023] Step 110, obtaining patient information.
[0024] Wherein, the patient information includes gender, age, personal history, family genetic history, instrument inspection reports, and various indicators in laboratory inspection results.
[0025] Exemplarily, the information of patient A is: male, 76 years old, systolic blood pressure 160, diastolic blood pressure 160, heart rate 76, family history of hypertension, family history of heart disease, serum creatinine 1.8 mg / dL, glucose 2 hours after meal Content of 12mmol / L, left ventricular hypertrophy, renal artery stenosis, hypertension secondary high risk.
[0026] Step 120 ,...
Embodiment 2
[0052] figure 2 It is a flowchart of a method for selecting a treatment plan provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above embodiments, and further provides a method for determining a machine learning model.
[0053] After optimization, the specific steps of a treatment plan selection method are as follows:
[0054] Step 210: Obtain a preset sample set, wherein the preset sample set includes available clinical data corresponding to all the treatment plans in the treatment plan list.
[0055] Step 220, determine at least two sampling rules, and establish a candidate machine learning model according to each sampling rule, wherein each sampling rule includes a predetermined number of sample sets in a random sample set and each random sample set for each available clinical data The predetermined number of features to extract.
[0056] Wherein, at least two corresponding sampling rules are set for each treatment plan in...
Embodiment 3
[0076] image 3 Shown is a schematic structural diagram of a system for selecting a treatment plan provided by Embodiment 3 of the present invention. This embodiment is applicable to helping doctors select the best treatment plan from a variety of treatment plans. The structure of the system specifically includes : patient information acquisition module 310, available treatment scheme determination module 320, machine learning model acquisition module 330, available probability value determination module 340 and recommended scheme determination module 350;
[0077] Among them, the patient information acquisition module 310 is used to obtain patient information; the available treatment plan determination module 320 is used to select all available treatment plans from the treatment plan list according to the patient information and medical guideline recommendations, and the treatment plan list is based on clinical data and medical guidelines. The medical guideline suggests pre-d...
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