Intelligent auxiliary diagnosis method and system
An intelligent diagnosis and auxiliary diagnosis technology, applied in the field of intelligent auxiliary diagnosis and system, can solve problems such as low diagnosis efficiency, long consultation time period, and inability to ensure timely communication between doctors and patients.
Pending Publication Date: 2022-03-01
TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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[0002] With the rapid development of the economy, people's living standards have improved significantly, and the attention to health and the level of medical services have become higher and higher. However, the overall efficiency of simple manual diagnosis is relatively low, especially in the face of huge demand for diagnosis. Intelligent diagnosis is an important way to solve the problems of surge in diagnosis demand and low diagnosis efficiency
[0003] In the prior art, many hospitals have launched online medical services based on the Internet, including online disease consultation, remote consultation, and remote treatment. However, due to the professional nature of doctors, users can only wait for doctors when they are busy. The status of the doctor's visit leads to a long consultation period; secondly, due to the uncertainty of the doctor's online time, it is impossible to guarantee the one-on-one timely communication between the doctor and the patient
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[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0021] The present invention provides an intelligent assisted diagnosis method configured to diagnose one or more diseases or conditions and utilizes a trained machine learning model to determine the likelihood that a disease or condition should be diagnosed in a medical patient and then reveals This possibility is diagnosed to the healthcare provider. For example, machine learning models can be trained on large data sets, where individual machine learning mod...
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The invention provides an intelligent auxiliary diagnosis method and system, and aims to solve the problem of large inquiry demand and improve the diagnosis efficiency and accuracy. Comprising a patient information acquisition module, a training data acquisition module, a data formatting module, an intelligent diagnosis model generation module, an intelligent diagnosis model correction module and a diagnosis and treatment result output module. The training data acquisition module receives data from different sources through a computer network, and merges the data into a large data set with comprehensive features. When the intelligent diagnosis model generation module matches model features, the importance of the features is prioritized by using clinical priori knowledge or through machine learning technologies such as a decision tree and the like, and corresponding weights are given to different features according to the importance degree; and the intelligent diagnosis model correction module uses new data fed back to the database to re-learn the weight of the features and train the model, so that the accuracy of the intelligent diagnosis model is improved.
Description
[0001] The invention belongs to the field of intelligent medical technology, in particular, relates to an intelligent auxiliary diagnosis method and system Background technique [0002] With the rapid development of the economy, people's living standards have improved significantly, and the attention to health and the level of medical services have become higher and higher. However, the overall efficiency of simple manual diagnosis is relatively low, especially in the face of huge demand for diagnosis. Intelligent diagnosis is an important way to solve the problems of surge in diagnosis demand and low diagnosis efficiency. [0003] In the prior art, many hospitals have launched online medical services based on the Internet, including online disease consultation, remote consultation, and remote treatment. However, due to the professional nature of doctors, users can only wait for doctors when they are busy. The status of the doctor's visit leads to a long consultation time peri...
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Login to View More IPC IPC(8): G16H50/20G16H50/70G06N20/00
CPCG16H50/20G16H50/70G06N20/00
Inventor 彭一准王娜娜彭晚龙
Owner TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY