Clinical intelligent assistant decision-making method and system for femoral neck fracture

A femoral neck fracture and auxiliary decision-making technology, applied in the field of clinical medicine, can solve the problems of decision-making accuracy and low work efficiency, and achieve the effects of improving decision-making accuracy and work efficiency, good treatment services, and improving treatment efficiency and effect

Active Publication Date: 2019-09-27
百洋智能科技集团股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Aiming at the problems of decision-making accuracy and low work efficiency in the clinical treatment of femoral neck fractures, the present invention provides a clinical intelligent auxiliary decision-making me...

Method used

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  • Clinical intelligent assistant decision-making method and system for femoral neck fracture
  • Clinical intelligent assistant decision-making method and system for femoral neck fracture
  • Clinical intelligent assistant decision-making method and system for femoral neck fracture

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0111] Patient: female, 74 years old;

[0112] preoperative examination

[0113] White blood cell count (10^9 / L): 6.4

[0114] preoperative evaluation

[0115] Garden type: Type Ⅳ

[0116] Cardiac function and heart disease assessment

[0117] Pulmonary function and respiratory disease assessment

[0118] Smoking status: non-smoking lung infection

[0119] Liver and kidney function and liver and kidney disease assessment

[0120] Prothrombin time prolongation(s): Unknown

[0121] Albumin (g / L): Unknown

[0122] initial diagnosis and treatment recommendations

[0123] hip replacement surgery

[0124] Comprehensive assessment results

[0125] Rule decision model evaluation:

[0126] Goldman heart risk index: 5;

[0127] RCRI risk index: 0, the result of RCRI cardiac assessment is that the risk of major cardiac events in the perioperative period is 0.4%;

[0128] Arozullah postoperative respiratory failure prediction score: 6, the incidence of postoperative acute respi...

Embodiment 2

[0135] Patient: female, 74 years old;

[0136] preoperative examination

[0137] Hemoglobin (g / L): 119 Albumin (g / L): 35.4

[0138] preoperative evaluation

[0139] Garden type: Type Ⅳ

[0140] Cardiac function and heart disease assessment

[0141] Pulmonary function and respiratory disease assessment

[0142] Smoking status: Lung infection after quitting smoking for more than 4 weeks

[0143] Liver and kidney function and liver and kidney disease assessment

[0144] Prothrombin time prolongation(s): Unknown

[0145] Albumin (g / L): >35

[0146] initial diagnosis and treatment recommendations

[0147] hip replacement surgery

[0148] Comprehensive assessment results

[0149] Rule decision model evaluation:

[0150] Goldman heart risk index: 5;

[0151] RCRI risk index: 0, the result of RCRI cardiac assessment is that the risk of major cardiac events during the perioperative period is 0.4%;

[0152] Arozullah postoperative respiratory failure prediction score: 6, th...

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Abstract

The invention relates to a clinical intelligent assistant decision-making method and system for femoral neck fracture. The method comprises the following steps: establishing an index data set dictionary; according to the index data set dictionary, performing Chinese word segmentation and logic processing by applying real EMR electronic case document data, so that the EMR electronic case document data is structurally converted into standardized data recognized by a computer; establishing a rule decision model; establishing an algorithm decision model; training an algorithm decision model; acquiring preoperative information of a patient to be evaluated, transmitting the preoperative information to the rule decision model and the algorithm decision model, evaluating preoperative indexes of the patient through the rule decision model and the algorithm decision model, and deciding whether to perform operative treatment or not. The preoperative information of the to-be-evaluated patient is evaluated through the rule decision model and the algorithm decision model, whether operative treatment is conducted or not is decided, the method is used for auxiliary decision making of femoral neck fracture clinical treatment, reference bases are provided for doctors, and accuracy and working efficiency are improved.

Description

technical field [0001] The invention belongs to the technical field of clinical medicine, and in particular relates to a clinical intelligent auxiliary decision-making method and system for femoral neck fractures. Background technique [0002] Femoral neck fracture is a common traumatic disease in hospital surgery, and it mainly occurs in the elderly population. Because elderly patients often coexist with other chronic diseases, reasonable treatment decisions for patients with femoral neck fractures in various physical states have an important impact on the patient's post-healing life status and life extension. At present, the main decision-making method is manual method, and doctors and other medical personnel mostly rely on clinical experience and treatment-related guidelines. Due to the different levels of medical skills of doctors, treatment decisions for patients with femoral neck fractures cannot fully meet the requirements of treatment-related guidelines, and a scien...

Claims

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Application Information

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IPC IPC(8): G16H50/20G06N5/02G06N20/00
CPCG06N5/025G16H50/20G06N20/00
Inventor 姜保国张俊李琴吴一多张培训寇玉辉杨斌
Owner 百洋智能科技集团股份有限公司
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