Technical Field:

This invention relates to a health status analysis system based on artificial intelligence, which enables early diagnosis, diagnosis and treatment planning by enabling the determination of future health status over past health data.

State of the Art:

Today, the increasing need for health all over the world for various reasons can cause the necessary efficiency to be obtained from health services. The great increase in the need for health makes it difficult to provide the right health service by a qualified health personnel at the right time.

It is vital to benefit from health services at the right time. In particular, early diagnosis and treatment planning in this direction and implementation at the right time prevents the progression of diseases and increases survival rates. This situation is of great importance especially for the diagnosis and treatment of diseases that progress secretly and are usually diagnosed in the last stages of the disease.

In the current system, due to the global crises such as the pandemic, the need for a qualified workforce has arisen in the face of increasing health needs. At the same time, with the increasing need for health, it is necessary to give priority to various diseases and patients. Since this process delays the benefit of health services according to the priority status of the patients, it causes late diagnosis and intervention of the disease and causes loss of life and property. In addition, there is a psychological wear and tear of both health personnel and patients. Due to such deficiencies in the current system, ignoring some diseases may cause diseases to be detected late at home. Detection of diseases in late stages also makes it difficult to get positive effects from treatment. In the current system, various symptoms, anamnesis (patient history) and clinical examination data, etc. After the evaluation of the disease, diagnosis and treatment planning is carried out. However, the fact that these findings do not directly correspond to any disease at the beginning or that prodromal symptoms that do not occur directly in the organs related to the disease may mislead the health personnel. This situation causes health problems to occur in the late periods and these problems are unpredictable. For this reason, it is important to collect all the findings and monitor them in a wide scope within a certain period of time in terms of making the right diagnosis and treatment planning at the right time.

The invention in the application CN114188015 titled “Artificial Intelligence-Based Brain Stroke Disease Prediction Method and Device” is related to the technical fields of biology, medicine, and medical devices, and in particular to a method and device for predicting stroke disease based on artificial intelligence.

The invention in the application CN109377470 titled “Heart Disease Risk Prediction System” it is about an artificial intelligence method that analyzes the probability of heart disease from examination data such as ultrasound images and electrocardiograms.

The existing systems listed above do not provide a comprehensive method as they are limited to a single disease type.

As a result, it is aimed to approach every patient and disease equally, which can overcome the disadvantages mentioned above and enable early diagnosis and treatment planning, minimize the need for a qualified health personnel with a wide scope, reduce dependence on knowledge and experience, reduce loss of life and property, There is a need for an artificial intelligence-based, dynamic new technology that provides high accuracy, low error rate, high sensitivity, provides coordination and cooperation among healthcare personnel, prevents loss of time, has a simple, minimal workload and workforce. Description of the Invention:

This invention is a health status analysis system based on historical data, and its feature is; It allows early diagnosis and treatment planning, minimizes the need for qualified health personnel with a wide coverage area, reduces dependence on knowledge and experience, ensures equal treatment for every patient and disease, reduces loss of life and property, has a high accuracy rate, and a high error rate. It is a simple artificial intelligence-based, dynamic new technology that provides coordination and cooperation among healthcare personnel, prevents loss of time.

The invention in order to realize all the objectives mentioned above and which will emerge from the detailed description below; With the monitoring and follow-up of the historical data of the patients, any disease, organ, etc. It considers a highly sensitive, highly accurate system that allows to make a comprehensive prediction about the future health status of the patient without being limited to.

The system that is the subject of the invention minimizes the need for qualified personnel due to the increasing need for health and eliminates the need for knowledge and experience for accurate diagnosis and treatment planning.

Invention, blood, urine etc. analysis results; MRI, tomography, x-ray etc. medical imaging data, etc. It predicts the diseases and risks that may arise in the coming years as a result of processing the past health data of the users, especially the users, through artificial intelligence algorithms, and provides diagnosis and diagnosis in the early stages and accordingly, the application of the right treatment at the appropriate time.

In the system that is the subject of the invention, as a result of the analyzes made through the artificial intelligence system, important data to guide the health personnel are obtained. In this way, it is aimed to achieve correct results with minimum workload and workforce. The system that is the subject of the invention automatically calculates the disease and risk ratio within the historical data of the users, without the need for prioritization according to the severity of the patient or the disease, or without requiring the patients to come for a regular check-up and presents these data to the expert. This allows for undetected situations not to be overlooked, or for detecting diseases that could not be detected at the beginning, at the right time.

The system, which is the subject of the invention, provides a wide database of examinations and expert opinions of many patients, and presents a dynamic estimation system with low margin of error, comprehensive, low cost and not creating unnecessary workload.

The subject of the invention is the system; family health centers, private and public hospitals, polyclinics, etc. it can be integrated into health institutions daily, monthly, yearly, etc. it allows disease prediction to be performed on a certain scale.

Invention, the structural and characteristic features and all advantages of the product in question will be understood more clearly thanks to the figures given below and the detailed explanation written by making reference to these figures, and therefore the evaluation should be made by considering these figures and detailed explanation.

Description of the Figures:

The invention will be described with reference to the accompanying figures, so that the features of the invention will be more clearly understood and appreciated, but the purpose of this is not to limit the invention to these certain regulations. On the contrary, it is intended to cover all alternatives, changes and equivalences that can be included in the area of the invention defined by the accompanying claims. The details shown should be understood that they are shown only for the purpose of describing the preferred embodiments of the present invention and are presented in order to provide the most convenient and easily understandable description of both the shaping of methods and the rules and conceptual features of the invention. In these drawings. Figure 1 The subject of the invention is a view of the hardware that provides the functioning of the health status analysis system over the past data.

The figures to help understand the present invention are numbered as indicated in the attached image and are given below along with their names.

Description of References:

1. Mobile Terminal

2. Network

3. Database

4. Artificial Intelligence Module

4.1.Training Module

4.2.Prediction Module

Description of The Invention:

The invention, Unlimited Mobile Terminal (1) patients and their expert opinions regarding the data continuously updated and developed, equipped with data from the database (3) where historical data is transmitted continuously, the artificial intelligence Module (4), the most accurate prediction model for the creation of the patients, the analysis of data taken from the system and the Central Hospital of previous diseases such as artificial intelligence Module (4) that as a result of the transfer processes using artificial intelligence algorithms to the training module (4.1), it includes the prediction module (4.2), which works in sync with the training module (4.1) and has an up-to-date prediction model created using artificial intelligence algorithms.

The invention includes a database (3) an unlimited mobile terminal (1) a dynamic training module (4.1) where each incoming new data is constantly transferred.

The invention includes a training module (4.1) that allows each new data transferred to be continuously trained in order to create a model with high sensitivity and accuracy. The invention includes the prediction module (4.2), which allows the results of the disease and risk status to be obtained with the prediction model with the highest accuracy.

The invention is characterized by the fact that it contains a prediction module (4.2) that allows the transfer of outcome data related to the disease and risk status to the corresponding mobile terminal (1) for viewing by medical personnel.

Detailed Description of The Invention:

The invention includes the artificial intelligence module (4), which includes the mobile terminal (1), the network (2), the database (3), the training module (4.1) and the prediction module (4.2).

The invention includes a mobile terminal (1), including a phone and / or a tablet and / or a computer and / or a television and / or a portable device, etc., for medical personnel to access the system and access the result data.

The invention includes network (2) to provide data exchange between numerous mobile terminals (1) and database (3).

The invention includes a network (2) to provide data exchange between numerous mobile terminals (1) and the prediction module (4.2) in the artificial intelligence module (4).

The network (2) in the invention includes various connection types such as wired, wireless communication connections or fiber optic cables.

Continuously updated and developed data regarding patients and expert opinions are transferred from the unlimited mobile terminal (1) to the database (3) in the invention over the network (2). The artificial intelligence module (4) in the invention includes a training module (4.1) and a prediction module (4.2).

Historical data is continuously retrieved from the unlimited mobile terminal (1) to the artificial intelligence module (4) included in the invention, from the database (3), which is equipped with continuously updated and developed data regarding patients and expert opinions.

In the invention, the data transferred from the database (3) to the artificial intelligence module (4) are transferred to the training module (4.1) in order to create the prediction models with the highest accuracy. In the training module (4.1), prediction models with the highest accuracy are created by processing data using different artificial intelligence algorithms.

In the invention, each new data coming from the database (3) unlimited mobile terminal (1) is continuously transferred to a dynamic training module (4.1). Each new data transferred to the training module (4.1) is continuously trained to create a model with high precision and accuracy.

In the invention, estimation is performed with the current estimation model created by using different artificial intelligence algorithms in the prediction module (4.2), which works synchronized with the training module (4.1).

In the invention, the result data of the disease and risk status obtained with the prediction model with the highest accuracy rate created in the prediction module (4.2) are transferred from the prediction module (4.2) to the relevant mobile terminal (1) for the health personnel to view.