KR20210084931A - System for health diagnosis - Google Patents

System for health diagnosis Download PDF

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KR20210084931A
KR20210084931A KR1020190177457A KR20190177457A KR20210084931A KR 20210084931 A KR20210084931 A KR 20210084931A KR 1020190177457 A KR1020190177457 A KR 1020190177457A KR 20190177457 A KR20190177457 A KR 20190177457A KR 20210084931 A KR20210084931 A KR 20210084931A
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disease
diagnosis
self
unit
patient
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KR1020190177457A
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Korean (ko)
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이상식
박은호
김대영
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이상식
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Pathology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The present invention relates to a health diagnosis system and, more specifically, to a health diagnosis system capable of diagnosing a suspected disease and recommending a hospital through information inputted by a patient, and enabling a medical specialist to more efficiently treat the disease by checking diseases or symptoms and examination items, which the doctor can miss during a medical consultation with the patient. In accordance with the present invention, the health diagnosis system includes: a self-diagnosis part (100) providing items for self-diagnosis of a disease; a result confirmation part (200) reporting the disease suspected by the self-diagnosis part (100); a hospital recommendation part (300) recommending a hospital in accordance with a result of the disease; a disease addition part (400) provided to add a disease through a medical consultation with a medical specialist; a final confirmation part (500) diagnosing symptoms of the patient and the name of the disease through the data of the self-diagnosis part (100) and the disease addition part (400); and a priority providing part (600) prioritizing the symptoms of the patient and the name of the disease provided by the final confirmation part (500), and then, visualizing the same as a graph.

Description

건강 진단 시스템{SYSTEM FOR HEALTH DIAGNOSIS}Health diagnosis system {SYSTEM FOR HEALTH DIAGNOSIS}

본 발명은 건강 진단 시스템에 관한 것으로, 환자에 의해 입력된 정보를 통해 의심되는 질환을 진단하고 병원을 추천할 수 있고, 전문의가 환자 진료 시 놓칠 수 있는 질환이나 증상 및 검사항목을 체크하여 보다 효율적으로 질병을 치료할 수 있는 건강 진단 시스템에 관한 것이다. The present invention relates to a health diagnosis system, capable of diagnosing a suspected disease and recommending a hospital through information input by a patient, and checking diseases, symptoms, and examination items that a specialist may miss when treating a patient more efficiently It relates to a health diagnosis system that can treat diseases with

진단 및 치료과정에서 첨단의료기기와 기술 활용은 오래전부터 사용되어 왔으나, 의료 데이터의 복잡성이 점차 심화되고, 동일 질환 환자에 대한 의료진들의 진료 소견이 데이터 해석능력에 따라 차이가 발생한다. The use of advanced medical devices and technologies in the diagnosis and treatment process has been used for a long time, but the complexity of medical data is gradually increasing, and the medical opinions of medical staff for patients with the same disease differ depending on their ability to interpret the data.

같은 질환이라도 개인의 건강상태, 생활습관, 유전체 정보에 따라 증상이 다르기 때문에 보편적 의료(average medicine)는 일부 환자에게 효과가 없거나 심각한 부작용 발생이 우려된다. Even with the same disease, symptoms vary depending on individual health status, lifestyle, and genomic information, so average medicine is not effective for some patients or there are concerns about the occurrence of serious side effects.

방대하고 다양한 의료 빅데이터 중 진료과정에서 활용할 유의미한 데이터 선별에 어려움이 발생하고 있어 이에 건강검진자료, 질병자료, 전자의무기록자료, 유전체 분석 데이터 등 바이어센싱 및 의료영상을 중심으로 데이터 규모가 급증하고 있는 추세이다. Among the vast and diverse medical big data, it is difficult to select meaningful data to be used in the treatment process. Accordingly, the size of data such as health checkup data, disease data, electronic medical record data, and genome analysis data is rapidly increasing, centering on buyer sensing and medical images. there is a trend

현재 국내에는 ‘아파요’, ‘자가진단 테스트’, ‘정신건강자가검진’ 등의 수많은 건강진단 및 관리앱이 존재한다. 그러나 기존에 개발된 앱들은 전문성 측면에서 공유할 수 있는 의료정보가 결여되어 있다. 또한, 일상생활에서 간단한 건강 상담 수준의 내용을 제공하는 한계가 있다. Currently, there are numerous health diagnosis and management apps in Korea, such as 'It hurts', 'Self-diagnosis test', and 'Mental health self-examination'. However, the previously developed apps lack medical information that can be shared in terms of professionalism. In addition, there is a limitation in providing content at the level of simple health consultation in daily life.

기존의 자가 진단 프로그램은 질병에 대해 의상의 정확한 진단 없이 단순히 몇 가지 증상에 대한 결과만 놓고 환자 스스로 진단을 내리는 심각한 오류를 범할 수 있다. 예컨대, 머리가 아픈 증상을 놓고 자가진단 프로그램을 통해 ‘편두통’이라는 진단 결과가 나오더라도 전문의의 정밀진단 과정에서 뇌종양이나 뇌졸중 등 치명적인 질환이 발견될 수 있다. Existing self-diagnosis programs may make a serious error of self-diagnosing the patient based on the results of a few symptoms without an accurate diagnosis of the disease. For example, even if the diagnosis result of 'migraine' comes out through the self-diagnosis program for a symptom of a headache, a fatal disease such as a brain tumor or stroke may be discovered during a detailed diagnosis by a specialist.

현재 질환에 대한 1차 진료와 질환에 대한 검사항목까지 제공해주는 어플리케이션은 출시되지 않았으며, 본 연구의 ‘모바일 건강 진단프로그램’ 개발이 필요하다. 즉, 종래의 의료진단 프로그램은 간단한 증상을 체크하고 질환이 의심될 경우 병원을 연계만 해주는 정도의 기술로 의료진단 및 의료정보 공유 시 가장 중요한 전문성이 부족한 한계가 존재하였다. Currently, no application has been released that provides primary treatment for diseases and examination items for diseases, and the development of a ‘mobile health diagnosis program’ for this study is necessary. That is, the conventional medical diagnosis program is a technology that only checks simple symptoms and connects hospitals when a disease is suspected, and lacks the most important expertise when sharing medical diagnosis and medical information.

따라서 본 발명은 단순한 정보만을 제공하는 시스템이 아니라, 입력된 정보를 통해 아픈 증상이 있을 시 의심되는 질환과 여러 증상이 다발적으로 발생할 경우 어떤 질환이 가장 의심 되는지 우선순위를 시각화하여 알려주고 직접적으로 어떤 검사가 필요한지 모든 과정을 제공하는 시스템을 개발하였다. Therefore, the present invention is not a system that provides only simple information, but visualizes and informs the priority of which disease is most suspected when there is a disease suspected when there is a sick symptom through the input information and which disease is the most suspected when multiple symptoms occur. A system has been developed that provides all the processes of whether inspection is necessary.

한국공개특허 제10-2015-008914호Korean Patent Publication No. 10-2015-008914

본 발명은 상기의 문제점을 해결하기 위해서 안출된 것으로서, 본 발명의 목적은 환자가 병원 방문 전 직접 아픈 증상을 체크한 뒤 의심되는 질환을 제공하고 병원을 추천하는 시스템을 제공하는 것이다. The present invention has been devised in order to solve the above problems, and an object of the present invention is to provide a system for providing a suspected disease and recommending a hospital after a patient directly checks a sick symptom before visiting a hospital.

또한, 본 발명의 목적은 환자에 의해 입력된 증상을 참고하여 전문의가 추가로 환자 상태를 입력할 수 있도록 하여 정확한 질환을 진단할 수 있는 시스템을 제공하는 것이다. Another object of the present invention is to provide a system capable of accurately diagnosing a disease by allowing a specialist to additionally input a patient's condition with reference to the symptoms input by the patient.

또한, 본 발명의 목적은 입력된 정보를 통해 아픈 증상이 있을 시 의심되는 질환과 여러 증상이 다발적으로 발생할 경우 어떤 질환이 가장 의심 되는지 우선순위를 시각화하여 알려주는 것이다. In addition, an object of the present invention is to visualize and inform a disease suspected when there are painful symptoms through input information and which disease is most suspected when multiple symptoms occur.

발명이 해결하고자 하는 기술적 과제들은 이상에서 언급한 기술적 과제들로 제한되지 않으며, 언급되지 않은 또 다른 기술적 과제들은 아래의 기재로부터 본 발명이 속하는 기술분야에서 통상의 지식을 가진 자에게 명확하게 이해될 수 있을 것이다.The technical problems to be solved by the invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the description below. will be able

본 발명에 따른 건강 진단 시스템은, The health diagnosis system according to the present invention comprises:

질환을 자가진단할 수 있도록 항목을 제공하는 자가진단부(100);a self-diagnosis unit 100 that provides items for self-diagnosis of diseases;

상기 자가진단부(100)에 의해 의심되는 질환을 알려주는 결과확인부(200);a result confirmation unit 200 that notifies a disease suspected by the self-diagnosis unit 100;

상기 질환의 결과에 따라 병원을 추천하는 병원추천부(300);a hospital recommendation unit 300 for recommending a hospital according to the result of the disease;

전문의에 의해 진료에 의해 질환을 추가하도록 제공하는 질환추가부(400);A disease addition unit 400 that provides to add a disease by treatment by a specialist;

상기 자가진단부(100) 및 질환추가부(400)의 데이터를 통해 환자 증상 및 병명을 진단하는 최종확진부(500); 및a final diagnosis unit 500 for diagnosing patient symptoms and disease names through the data of the self-diagnosis unit 100 and the disease addition unit 400; and

상기 최종확진부(500)에서 제공하는 환자 증상 및 병명을 우선순위로 매긴 후 시각화하여 그래프화하는 순위제공부(600);를 포함하는 것을 특징으로 한다.It is characterized in that it comprises a; ranking providing unit 600 to visualize and graph the patient symptoms and disease names provided by the final confirmation unit (500) to prioritize.

상기 과제의 해결 수단에 의해, 본 발명은 환자가 병원 방문 전 직접 아픈 증상을 체크한 뒤 의심되는 질환을 제공하고 병원을 추천하는 시스템을 제공할 수 있다. By means of solving the above problems, the present invention can provide a system for providing a suspected disease and recommending a hospital after checking the sick symptoms directly before the patient visits the hospital.

또한, 본 발명은 환자에 의해 입력된 증상을 참고하여 전문의가 추가로 환자 상태를 입력할 수 있도록 하여 정확한 질환을 진단할 수 있는 시스템을 제공할 수 있다. In addition, the present invention may provide a system capable of accurately diagnosing a disease by allowing a specialist to additionally input a patient's condition with reference to the symptoms input by the patient.

또한, 본 발명은 입력된 정보를 통해 아픈 증상이 있을 시 의심되는 질환과 여러 증상이 다발적으로 발생할 경우 어떤 질환이 가장 의심 되는지 우선순위를 시각화하여 제공할 수 있다. In addition, the present invention can provide a visualization of a disease suspected when there is a sick symptom through the input information and a priority of which disease is most suspected when several symptoms occur multiple times.

도 1은 본 발명인 건강 진단 시스템의 구성을 나타내는 블록구성도이다.
도 2는 본 발명인 건강 진단 시스템의 일실시예이다. 1 is a block diagram showing the configuration of a health diagnosis system according to the present invention.
2 is an embodiment of a health diagnosis system according to the present invention.

본 명세서에서 사용되는 용어에 대해 간략히 설명하고, 본 발명에 대해 구체적으로 설명하기로 한다.Terms used in this specification will be briefly described, and the present invention will be described in detail.

본 발명에서 사용되는 용어는 본 발명에서의 기능을 고려하면서 가능한 현재 널리 사용되는 일반적인 용어들을 선택하였으나, 이는 당 분야에 종사하는 기술자의 의도 또는 판례, 새로운 기술의 출현 등에 따라 달라질 수 있다. 따라서 본 발명에서 사용되는 용어는 단순한 용어의 명칭이 아닌, 그 용어가 가지는 의미와 본 발명의 전반에 걸친 내용을 토대로 정의되어야 한다.The terms used in the present invention have been selected as currently widely used general terms as possible while considering the functions in the present invention, but these may vary depending on the intention or precedent of a person skilled in the art, the emergence of new technology, and the like. Therefore, the term used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than the name of a simple term.

명세서 전체에서 어떤 부분이 어떤 구성요소를 “포함”한다고 할 때, 이는 특별히 반대되는 기재가 없는 한 다른 구성요소를 제외하는 것이 아니라 다른 구성요소를 더 포함할 수 있음을 의미한다.In the entire specification, when a part “includes” a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated.

아래에서는 첨부한 도면을 참고하여 본 발명의 실시예에 대하여 본 발명이 속하는 기술 분야에서 통상의 지식을 가진 자가 용이하게 실시할 수 있도록 상세히 설명한다. 그러나 본 발명은 여러 가지 상이한 형태로 구현될 수 있으며 여기에서 설명하는 실시예에 한정되지 않는다.Hereinafter, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those of ordinary skill in the art can easily carry out the embodiments of the present invention. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein.

본 발명에 대한 해결하고자 하는 과제, 과제의 해결 수단, 발명의 효과를 포함한 구체적인 사항들은 다음에 기재할 실시 예 및 도면들에 포함되어 있다. 본 발명의 이점 및 특징, 그리고 그것들을 달성하는 방법은 첨부되는 도면과 함께 상세하게 후술되어 있는 실시 예들을 참조하면 명확해질 것이다.Specific details including the problem to be solved for the present invention, the means for solving the problem, and the effect of the invention are included in the embodiments and drawings to be described below. Advantages and features of the present invention, and a method for achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings.

이하, 첨부된 도면을 참조하여 본 발명을 보다 상세히 설명하기로 한다.Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings.

본 발명에 따른 건강 진단 시스템은, 도 1에 나타난 바와 같이, 자가진단부(100), 결과확인부(200), 병원추천부(300), 질환추가부(400), 최종확진부(500) 및 순위제공부(600)록 구성된다. The health diagnosis system according to the present invention, as shown in FIG. 1, includes a self-diagnosis unit 100, a result confirmation unit 200, a hospital recommendation unit 300, a disease addition unit 400, and a final diagnosis unit 500. And the ranking providing unit 600 is configured.

상기 자가진단부(100)는 질환을 자가진단할 수 있도록 항목을 제공한다. The self-diagnosis unit 100 provides items for self-diagnosis of diseases.

상기 결과확인부(200)는 상기 자가진단부(100)에 의해 의심되는 질환을 알려준다. The result confirmation unit 200 informs the disease suspected by the self-diagnosis unit 100 .

상기 병원추천부(300)는 상기 질환의 결과에 따라 병원을 추천한다. The hospital recommendation unit 300 recommends a hospital according to the result of the disease.

상기 질환추가부(400)는 전문의에 의해 진료에 의해 질환을 추가하도록 제공한다.The disease addition unit 400 provides to add a disease by treatment by a specialist.

상기 최종확진부(500)는 상기 자가진단부(100) 및 질환추가부(400)의 데이터를 통해 환자 증상 및 병명을 진단한다. The final diagnosis unit 500 diagnoses the patient's symptoms and disease names through the data of the self-diagnosis unit 100 and the disease addition unit 400 .

상기 순위제공부(600)는 상기 최종확진부(500)에서 제공하는 환자 증상 및 병명을 우선순위로 매긴 후 시각화하여 그래프화한다. The ranking providing unit 600 prioritizes the patient symptoms and disease names provided by the final diagnosis unit 500, and then visualizes and graphs them.

상기 과제의 해결 수단에 의해, 본 발명은 환자가 병원 방문 전 직접 아픈 증상을 체크한 뒤 의심되는 질환을 제공하고 병원을 추천하는 시스템을 제공할 수 있다. By means of solving the above problems, the present invention can provide a system for providing a suspected disease and recommending a hospital after checking the sick symptoms directly before the patient visits the hospital.

또한, 본 발명은 환자에 의해 입력된 증상을 참고하여 전문의가 추가로 환자 상태를 입력할 수 있도록 하여 정확한 질환을 진단할 수 있는 시스템을 제공할 수 있다. In addition, the present invention may provide a system capable of accurately diagnosing a disease by allowing a specialist to additionally input a patient's condition with reference to the symptoms input by the patient.

또한, 본 발명은 입력된 정보를 통해 아픈 증상이 있을 시 의심되는 질환과 여러 증상이 다발적으로 발생할 경우 어떤 질환이 가장 의심 되는지 우선순위를 시각화하여 제공할 수 있다. In addition, the present invention can provide a visualization of a disease suspected when there is a sick symptom through the input information and a priority of which disease is most suspected when several symptoms occur multiple times.

이와 같이, 상술한 본 발명의 기술적 구성은 본 발명이 속하는 기술분야의 당업자가 본 발명의 그 기술적 사상이나 필수적 특징을 변경하지 않고서 다른 구체적인 형태로 실시될 수 있다는 것을 이해할 수 있을 것이다.As such, those skilled in the art to which the present invention pertains will understand that the above-described technical configuration of the present invention may be implemented in other specific forms without changing the technical spirit or essential characteristics of the present invention.

그러므로 이상에서 기술한 실시예들은 모든 면에서 예시적인 것이며 한정적인 것이 아닌 것으로서 이해되어야 하고, 본 발명의 범위는 상기 상세한 설명보다는 후술하는 특허청구범위에 의하여 나타나며, 특허청구범위의 의미 및 범위 그리고 그 등가 개념으로부터 도출되는 모든 변경 또는 변형된 형태가 본 발명의 범위에 포함되는 것으로 해석되어야 한다.Therefore, the embodiments described above are to be understood as illustrative and not restrictive in all respects, and the scope of the present invention is indicated by the following claims rather than the above detailed description, and the meaning and scope of the claims and their All changes or modifications derived from the concept of equivalents should be construed as being included in the scope of the present invention.

100. 자가진단부
200. 결과확인부
300. 병원추천부
400. 질환추가부
500. 최종확진부
600. 순위제공부100. Self-diagnosis unit
200. Result Confirmation Unit
300. Hospital Recommendation Department
400. Addition of Diseases
500. Final Confirmation Department
600. Rank provider

Claims (1)

질환을 자가진단할 수 있도록 항목을 제공하는 자가진단부(100);
상기 자가진단부(100)에 의해 의심되는 질환을 알려주는 결과확인부(200);
상기 질환의 결과에 따라 병원을 추천하는 병원추천부(300);
전문의에 의해 진료에 의해 질환을 추가하도록 제공하는 질환추가부(400);
상기 자가진단부(100) 및 질환추가부(400)의 데이터를 통해 환자 증상 및 병명을 진단하는 최종확진부(500); 및
상기 최종확진부(500)에서 제공하는 환자 증상 및 병명을 우선순위로 매긴 후 시각화하여 그래프화하는 순위제공부(600);를 포함하는 것을 특징으로 하는 건강 진단 시스템.a self-diagnosis unit 100 that provides items for self-diagnosis of diseases;
a result confirmation unit 200 that notifies a disease suspected by the self-diagnosis unit 100;
a hospital recommendation unit 300 for recommending a hospital according to the result of the disease;
A disease addition unit 400 that provides to add a disease by treatment by a specialist;
a final diagnosis unit 500 for diagnosing patient symptoms and disease names through the data of the self-diagnosis unit 100 and the disease addition unit 400; and
and a ranking providing unit (600) for visualizing and graphing the patient symptoms and disease names provided by the final diagnosis unit (500) in order of priority.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115497616A (en) * 2022-10-25 2022-12-20 杭州杏林信息科技有限公司 Method, system, equipment and storage medium for aid decision making of infectious diseases

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20150008914A (en) 2012-05-18 2015-01-23 레이브 엔.피., 인크. Contamination removal apparatus and method

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20150008914A (en) 2012-05-18 2015-01-23 레이브 엔.피., 인크. Contamination removal apparatus and method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115497616A (en) * 2022-10-25 2022-12-20 杭州杏林信息科技有限公司 Method, system, equipment and storage medium for aid decision making of infectious diseases
CN115497616B (en) * 2022-10-25 2023-05-23 杭州杏林信息科技有限公司 Method, system, equipment and storage medium for auxiliary decision-making of infectious diseases

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