CN112071438B - 一种百日咳智能筛查方法及系统 - Google Patents
一种百日咳智能筛查方法及系统 Download PDFInfo
- Publication number
- CN112071438B CN112071438B CN202011058177.9A CN202011058177A CN112071438B CN 112071438 B CN112071438 B CN 112071438B CN 202011058177 A CN202011058177 A CN 202011058177A CN 112071438 B CN112071438 B CN 112071438B
- Authority
- CN
- China
- Prior art keywords
- pertussis
- characteristic information
- cognitive model
- cognitive
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 201000005702 Pertussis Diseases 0.000 title claims abstract description 98
- 238000012216 screening Methods 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 27
- 230000001149 cognitive effect Effects 0.000 claims abstract description 71
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 15
- 230000019771 cognition Effects 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000009795 derivation Methods 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 abstract description 7
- 238000012790 confirmation Methods 0.000 abstract description 2
- 239000000463 material Substances 0.000 abstract description 2
- 238000009826 distribution Methods 0.000 description 17
- 206010011224 Cough Diseases 0.000 description 11
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 9
- 201000010099 disease Diseases 0.000 description 7
- 230000008569 process Effects 0.000 description 6
- 230000001314 paroxysmal effect Effects 0.000 description 5
- 241000588832 Bordetella pertussis Species 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000001154 acute effect Effects 0.000 description 3
- 210000000265 leukocyte Anatomy 0.000 description 3
- 238000012546 transfer Methods 0.000 description 3
- 206010049244 Ankyloglossia congenital Diseases 0.000 description 2
- 206010003497 Asphyxia Diseases 0.000 description 2
- 206010010719 Conjunctival haemorrhage Diseases 0.000 description 2
- 206010011703 Cyanosis Diseases 0.000 description 2
- 206010036790 Productive cough Diseases 0.000 description 2
- 208000025865 Ulcer Diseases 0.000 description 2
- 206010047700 Vomiting Diseases 0.000 description 2
- 230000004523 agglutinating effect Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 208000015181 infectious disease Diseases 0.000 description 2
- 210000004698 lymphocyte Anatomy 0.000 description 2
- 210000003800 pharynx Anatomy 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000028327 secretion Effects 0.000 description 2
- 210000002966 serum Anatomy 0.000 description 2
- 230000001148 spastic effect Effects 0.000 description 2
- 208000024794 sputum Diseases 0.000 description 2
- 210000003802 sputum Anatomy 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 231100000397 ulcer Toxicity 0.000 description 2
- 230000008673 vomiting Effects 0.000 description 2
- 241000894006 Bacteria Species 0.000 description 1
- 208000035473 Communicable disease Diseases 0.000 description 1
- 101150088096 Elob gene Proteins 0.000 description 1
- 241000287828 Gallus gallus Species 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000001580 bacterial effect Effects 0.000 description 1
- 238000004820 blood count Methods 0.000 description 1
- 238000003759 clinical diagnosis Methods 0.000 description 1
- 230000003931 cognitive performance Effects 0.000 description 1
- 238000012258 culturing Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000036039 immunity Effects 0.000 description 1
- 230000002458 infectious effect Effects 0.000 description 1
- 230000002045 lasting effect Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 229940066827 pertussis vaccine Drugs 0.000 description 1
- 238000002601 radiography Methods 0.000 description 1
- 230000000241 respiratory effect Effects 0.000 description 1
- 230000000405 serological effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- 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
- G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
Landscapes
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Investigating Or Analysing Biological Materials (AREA)
Abstract
Description
Claims (6)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011058177.9A CN112071438B (zh) | 2020-09-29 | 2020-09-29 | 一种百日咳智能筛查方法及系统 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011058177.9A CN112071438B (zh) | 2020-09-29 | 2020-09-29 | 一种百日咳智能筛查方法及系统 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112071438A CN112071438A (zh) | 2020-12-11 |
CN112071438B true CN112071438B (zh) | 2022-06-14 |
Family
ID=73683231
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011058177.9A Active CN112071438B (zh) | 2020-09-29 | 2020-09-29 | 一种百日咳智能筛查方法及系统 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112071438B (zh) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112786192A (zh) * | 2021-01-18 | 2021-05-11 | 吾征智能技术(北京)有限公司 | 一种手足口病智能认知系统、设备、存储介质 |
CN115019973B (zh) * | 2022-08-08 | 2022-10-25 | 四川大学华西医院 | 一种icu后综合征自评快速筛查系统 |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4985353A (en) * | 1986-12-16 | 1991-01-15 | Trion Forskning-Och Utvecklings Aktiebolag | Method for the diagnosis of whooping-cough and a test kit for carrying the method into effect |
EP2110745A1 (en) * | 2008-04-18 | 2009-10-21 | BAE Systems plc | Assisting failure diagnosis in a system |
WO2017079938A1 (en) * | 2015-11-12 | 2017-05-18 | Coyote Bioscience Co., Ltd. | Methods and systems for disease monitoring and assessment |
CN110806447A (zh) * | 2018-08-06 | 2020-02-18 | 岛津企业管理(中国)有限公司 | 百日咳杆菌气管细胞毒素的筛查方法和含量测定方法 |
CN111000569A (zh) * | 2019-11-29 | 2020-04-14 | 中润普达(十堰)大数据中心有限公司 | 一种异常血糖智能认知的监护系统 |
WO2020081504A1 (en) * | 2018-10-15 | 2020-04-23 | Upmc | Systems and methods for specimen interpretation |
WO2020098083A1 (zh) * | 2018-11-13 | 2020-05-22 | 平安科技(深圳)有限公司 | 通话分离方法、装置、计算机设备及存储介质 |
CN111326261A (zh) * | 2020-02-20 | 2020-06-23 | 武汉东湖大数据交易中心股份有限公司 | 一种基于气象数据的上呼吸道疾病的预测系统及其预测方法 |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7392199B2 (en) * | 2001-05-01 | 2008-06-24 | Quest Diagnostics Investments Incorporated | Diagnosing inapparent diseases from common clinical tests using Bayesian analysis |
US20170103182A1 (en) * | 2015-01-25 | 2017-04-13 | International Business Machines Corporation | Modelling Disease Progression and Intervention Effects Using Non-Clinical Information Proxies for Clinical Information |
KR102233255B1 (ko) * | 2018-04-11 | 2021-03-29 | 한국전자통신연구원 | 인지 진단 모델의 신뢰도를 이용한 학습자 진단 장치 및 방법 |
-
2020
- 2020-09-29 CN CN202011058177.9A patent/CN112071438B/zh active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4985353A (en) * | 1986-12-16 | 1991-01-15 | Trion Forskning-Och Utvecklings Aktiebolag | Method for the diagnosis of whooping-cough and a test kit for carrying the method into effect |
EP2110745A1 (en) * | 2008-04-18 | 2009-10-21 | BAE Systems plc | Assisting failure diagnosis in a system |
WO2017079938A1 (en) * | 2015-11-12 | 2017-05-18 | Coyote Bioscience Co., Ltd. | Methods and systems for disease monitoring and assessment |
CN108475544A (zh) * | 2015-11-12 | 2018-08-31 | 卡尤迪医学检验实验室(北京)有限公司 | 用于疾病监测和评估的方法和系统 |
CN110806447A (zh) * | 2018-08-06 | 2020-02-18 | 岛津企业管理(中国)有限公司 | 百日咳杆菌气管细胞毒素的筛查方法和含量测定方法 |
WO2020081504A1 (en) * | 2018-10-15 | 2020-04-23 | Upmc | Systems and methods for specimen interpretation |
WO2020098083A1 (zh) * | 2018-11-13 | 2020-05-22 | 平安科技(深圳)有限公司 | 通话分离方法、装置、计算机设备及存储介质 |
CN111000569A (zh) * | 2019-11-29 | 2020-04-14 | 中润普达(十堰)大数据中心有限公司 | 一种异常血糖智能认知的监护系统 |
CN111326261A (zh) * | 2020-02-20 | 2020-06-23 | 武汉东湖大数据交易中心股份有限公司 | 一种基于气象数据的上呼吸道疾病的预测系统及其预测方法 |
Also Published As
Publication number | Publication date |
---|---|
CN112071438A (zh) | 2020-12-11 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112071438B (zh) | 一种百日咳智能筛查方法及系统 | |
US20200211706A1 (en) | Intelligent traditional chinese medicine diagnosis method, system and traditional chinese medicine system | |
Shaban et al. | Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy | |
CN111681219B (zh) | 基于深度学习的新冠病毒感染ct图像分类方法、系统及设备 | |
US7991579B2 (en) | Statistical methods for multivariate ordinal data which are used for data base driven decision support | |
Estrada et al. | Exploratory Dijkstra forest based automatic vessel segmentation: applications in video indirect ophthalmoscopy (VIO) | |
Keltch et al. | Comparison of AI techniques for prediction of liver fibrosis in hepatitis patients | |
CN111862075A (zh) | 一种基于深度学习的肺部图像分析系统及其分析方法 | |
Sachdeva et al. | A systematic method for diagnosis of hepatitis disease using machine learning | |
CN113610118A (zh) | 一种基于多任务课程式学习的眼底图像分类方法、装置、设备及介质 | |
CN106951710B (zh) | 基于特权信息学习支持向量机的cap数据系统及方法 | |
Liu et al. | Multi-branch fusion auxiliary learning for the detection of pneumonia from chest X-ray images | |
Nusantoro et al. | Detection of Covid-19 on X-Ray Image of Human Chest Using CNN and Transfer Learning | |
Rawat et al. | A Study on Liver Disease Using Different Machine Learning Algorithms | |
Chilukoti et al. | Diabetic retinopathy detection using transfer learning from pre-trained convolutional neural network models | |
CN115482927B (zh) | 一种基于小样本的儿童肺炎诊断系统 | |
venkatesh Chilukoti et al. | Diabetic Retinopathy Detection using Transfer Learning from Pre-trained Convolutional Neural Network Models | |
Nnebe et al. | A neuro-fuzzy case based reasoning framework for detecting Lassa fever based on observed symptoms | |
Yazdani et al. | Supervised machine learning approach to COVID-19 detection based on clinical data | |
Xia et al. | Uncertainty-aware Health Diagnostics via Class-balanced Evidential Deep Learning | |
Suganyadevi | DarkCVNet: Optimized Pneumonia and Covid 19 detection using CXR Images | |
Parashar et al. | Computer-aided diagnosis of glaucoma at early-stage using retinal fundus images | |
Singh et al. | Detection of COVID-19 using CNN from Chest X-ray Images | |
Cobbinah et al. | Adaptive Neuro-Fuzzy Inferential Approach for the Diagnosis of Prostate Diseases | |
Alasasfeh et al. | Deep Learning Approach for COVID-19 Detection Based on X-Ray Images |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CP03 | Change of name, title or address | ||
CP03 | Change of name, title or address |
Address after: Room 1101, 11th Floor, Building B4, Future Science and Technology City, No. 999 Gaoxin Avenue, Donghu New Technology Development Zone, Wuhan City, Hubei Province, 430000 Patentee after: Wuhan Donghu Big Data Technology Co.,Ltd. Country or region after: China Address before: 430000 Room 2101, F3 Building, Phase I, Longshan Innovation Park, 999 High-tech Avenue, Donghu New Technology Development Zone, Wuhan City, Hubei Province Patentee before: WUHAN DONGHU BIG DATA TRADING CENTER Co.,Ltd. Country or region before: China |