Pathological diagnosis method based on data analysis

Abstract

The invention discloses a pathological diagnosis method based on data analysis. The method is characterized by comprising the following steps of 1, according to definition description of a disease, establishing a corresponding disease symptom database; 2, establishing a basic pathological diagnosis standard data model; 3, performing text analysis on previous cases of a patient; 4, according to a text image data protocol, converting text analysis data and digital slice image data to the same type of coding data format; 5, performing unified data cleaning, eliminating singular points in the datafor performing pathological diagnosis; and 6, performing data visualization and optimizing a pathological diagnosis model. According to the pathological diagnosis method, an optimal pathological diagnosis model can be established; pathological diagnosis analysis is performed, thereby realizing patient condition diagnosis and disease classification; and a disease condition knowledge database is established for providing a reference for a subsequent treatment plan.

Description

technical field [0001] The invention relates to a pathological diagnosis method based on data analysis, which is applicable to the fields of pathology, biomedical diagnosis, life science research, morphological teaching and the like. Background technique [0002] Pathology is a basic medical discipline that studies the etiology, pathogenesis and outcome of diseases, and it is a bridge between clinical medicine and basic medicine. Pathological diagnosis refers to the pathological diagnosis made by pathologists to conduct pathological examination on the submitted specimens or test materials, and judge the nature of the pathological changes of the specimens by observing the gross changes with the naked eye and observing the tissue structure and cell lesion characteristics under the microscope. Pathological diagnosis provides an important and even decisive basis for clinicians to diagnose diseases, formulate treatment plans, evaluate disease prognosis, and summarize experience i...

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Problems solved by technology

However, it is only a screening system for esophageal cancer with relatively complete data, and it cannot make a diagnosis decision based on the actual situation of the patient, nor can it provide a basis for subsequent clinical diagnosis and treatment.

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