Lung cancer whole course management system, method and equipment based on big data, medium and terminal

Abstract

The invention belongs to the technical field of lung cancer data processing, and discloses a lung cancer whole course management system, method and equipment based on big data, a medium and a terminal. The system comprises a re-diagnosis management module, a targeted whole-course management module, an immune combined chemotherapy / independent chemotherapy whole-course management module, an immune maintenance whole-course management module, a lung cancer training detection module, a lung cancer case pretreatment module and a lung cancer nursing rehabilitation module. According to the method, the obtained result is accurate, the illness state of a patient can be mastered in real time, adverse reactions can be prevented and recognized, a corresponding processing method is provided according to specific conditions, the recognition and detection accuracy is improved, the treatment continuity is ensured, and by detecting and segmenting and recognizing the lung cancer part and the pathological type, the treatment accuracy is improved. Common adverse reactions are monitored according to different treatment schemes, accurate recognition, symptomatic treatment and continuous nursing are achieved, the development of the illness state of a patient is controlled, and a powerful guarantee is provided for treatment.

Description

technical field [0001] The invention belongs to the technical field of lung cancer data processing and full course management, and in particular relates to a system, method, device, medium, and terminal for managing the whole course of lung cancer based on big data. It specifically relates to a personalized lung cancer full-course management system based on treatment plan that runs through diagnosis, treatment, adverse reactions and disease self-management. Background technique [0002] At present, the full-course management mode refers to a cross-regional and cross-team full-process collaborative management method, including pre-hospital preparation, discharge preparation, post-hospital follow-up, and remote health management. Continuous health care after hospitalization and hospitalization forms a closed-loop management model for the whole course of disease. The whole course of disease management aims to be patient-centered, from pre-hospital preparation, in-hospital serv...

AI Technical Summary

Problems solved by technology

[0005] (1) At present, the reexamination method of discharged patients with lung cancer is limited to outpatient registration reexamination, check the reexamination results or the signs and symptoms described by the patient

[0006] (2) The current technical support cannot meet the needs of lung cancer patients after discharge from the hospital, and they need to travel repeatedly

[0007] (3) The current technology cannot meet the real-time inspection of whether various indicators of lung cancer have deteriorated

[0008] (4) The efficiency of intelligent monitoring and management of the existing technology is poor, and the accuracy of data is low, which cannot provide a basis for specific applications

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