CN109273093B - 一种川崎病风险评估模型的构建方法及构建系统 - Google Patents
一种川崎病风险评估模型的构建方法及构建系统 Download PDFInfo
- Publication number
- CN109273093B CN109273093B CN201811076752.0A CN201811076752A CN109273093B CN 109273093 B CN109273093 B CN 109273093B CN 201811076752 A CN201811076752 A CN 201811076752A CN 109273093 B CN109273093 B CN 109273093B
- Authority
- CN
- China
- Prior art keywords
- model
- kawasaki disease
- data
- risk assessment
- sample
- 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
- 208000011200 Kawasaki disease Diseases 0.000 title claims abstract description 87
- 208000001725 mucocutaneous lymph node syndrome Diseases 0.000 title claims abstract description 87
- 238000012502 risk assessment Methods 0.000 title claims abstract description 35
- 238000010276 construction Methods 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 claims abstract description 52
- 238000003745 diagnosis Methods 0.000 claims abstract description 36
- 238000012549 training Methods 0.000 claims abstract description 30
- 238000012795 verification Methods 0.000 claims abstract description 25
- 238000007637 random forest analysis Methods 0.000 claims abstract description 23
- 238000011156 evaluation Methods 0.000 claims abstract description 14
- 238000013210 evaluation model Methods 0.000 claims abstract description 13
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 11
- 201000010099 disease Diseases 0.000 claims abstract description 10
- 238000012216 screening Methods 0.000 claims abstract description 10
- 238000012360 testing method Methods 0.000 claims description 19
- 230000035945 sensitivity Effects 0.000 claims description 13
- 206010037660 Pyrexia Diseases 0.000 claims description 8
- 238000003066 decision tree Methods 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 5
- 230000009467 reduction Effects 0.000 claims description 5
- 102100032752 C-reactive protein Human genes 0.000 claims description 4
- 108010088751 Albumins Proteins 0.000 claims description 2
- 102000009027 Albumins Human genes 0.000 claims description 2
- 108010074051 C-Reactive Protein Proteins 0.000 claims description 2
- 108010028780 Complement C3 Proteins 0.000 claims description 2
- 102000016918 Complement C3 Human genes 0.000 claims description 2
- 108010049003 Fibrinogen Proteins 0.000 claims description 2
- 102000008946 Fibrinogen Human genes 0.000 claims description 2
- 102000006395 Globulins Human genes 0.000 claims description 2
- 108010044091 Globulins Proteins 0.000 claims description 2
- 102000007584 Prealbumin Human genes 0.000 claims description 2
- 108010071690 Prealbumin Proteins 0.000 claims description 2
- 229940012952 fibrinogen Drugs 0.000 claims description 2
- 229940027941 immunoglobulin g Drugs 0.000 claims description 2
- 238000007689 inspection Methods 0.000 claims description 2
- 239000011159 matrix material Substances 0.000 claims description 2
- 230000011218 segmentation Effects 0.000 claims 1
- 238000011282 treatment Methods 0.000 abstract description 12
- 230000000694 effects Effects 0.000 abstract description 4
- 238000011369 optimal treatment Methods 0.000 abstract description 4
- 230000002265 prevention Effects 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 230000008569 process Effects 0.000 description 8
- 208000024891 symptom Diseases 0.000 description 8
- 230000008901 benefit Effects 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 3
- 238000013145 classification model Methods 0.000 description 3
- 210000004351 coronary vessel Anatomy 0.000 description 3
- 208000019622 heart disease Diseases 0.000 description 3
- 230000003902 lesion Effects 0.000 description 3
- 206010015150 Erythema Diseases 0.000 description 2
- 208000032912 Local swelling Diseases 0.000 description 2
- 230000001154 acute effect Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 230000003111 delayed effect Effects 0.000 description 2
- 238000012217 deletion Methods 0.000 description 2
- 230000037430 deletion Effects 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 208000031225 myocardial ischemia Diseases 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 238000010200 validation analysis Methods 0.000 description 2
- 102100027211 Albumin Human genes 0.000 description 1
- 208000023275 Autoimmune disease Diseases 0.000 description 1
- 206010011071 Coronary artery aneurysm Diseases 0.000 description 1
- 206010065420 Coronary artery dilatation Diseases 0.000 description 1
- 206010013700 Drug hypersensitivity Diseases 0.000 description 1
- 206010015218 Erythema multiforme Diseases 0.000 description 1
- 208000010201 Exanthema Diseases 0.000 description 1
- 208000015220 Febrile disease Diseases 0.000 description 1
- 206010020565 Hyperaemia Diseases 0.000 description 1
- 244000132436 Myrica rubra Species 0.000 description 1
- 235000013559 Schnittsellerie Nutrition 0.000 description 1
- 244000169997 Schnittsellerie Species 0.000 description 1
- 206010040047 Sepsis Diseases 0.000 description 1
- 206010040844 Skin exfoliation Diseases 0.000 description 1
- 206010042434 Sudden death Diseases 0.000 description 1
- 208000004732 Systemic Vasculitis Diseases 0.000 description 1
- 206010047115 Vasculitis Diseases 0.000 description 1
- 206010001093 acute tonsillitis Diseases 0.000 description 1
- 238000002583 angiography Methods 0.000 description 1
- 210000000436 anus Anatomy 0.000 description 1
- 229960000190 bacillus calmette–guérin vaccine Drugs 0.000 description 1
- 210000000748 cardiovascular system Anatomy 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 210000000795 conjunctiva Anatomy 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 201000005311 drug allergy Diseases 0.000 description 1
- 238000013399 early diagnosis Methods 0.000 description 1
- 238000002592 echocardiography Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 201000005884 exanthem Diseases 0.000 description 1
- 210000000416 exudates and transudate Anatomy 0.000 description 1
- 210000004904 fingernail bed Anatomy 0.000 description 1
- 238000011081 inoculation Methods 0.000 description 1
- 238000003771 laboratory diagnosis Methods 0.000 description 1
- 238000007477 logistic regression Methods 0.000 description 1
- 210000001165 lymph node Anatomy 0.000 description 1
- 201000003265 lymphadenitis Diseases 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 210000004379 membrane Anatomy 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 210000000214 mouth Anatomy 0.000 description 1
- 210000004400 mucous membrane Anatomy 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 230000007170 pathology Effects 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 210000003800 pharynx Anatomy 0.000 description 1
- 206010037844 rash Diseases 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000013058 risk prediction model Methods 0.000 description 1
- 208000013223 septicemia Diseases 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 230000008961 swelling Effects 0.000 description 1
- 208000011580 syndromic disease Diseases 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
- G16H50/50—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
- 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
- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Data Mining & Analysis (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
Description
Claims (9)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811076752.0A CN109273093B (zh) | 2018-09-14 | 2018-09-14 | 一种川崎病风险评估模型的构建方法及构建系统 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811076752.0A CN109273093B (zh) | 2018-09-14 | 2018-09-14 | 一种川崎病风险评估模型的构建方法及构建系统 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109273093A CN109273093A (zh) | 2019-01-25 |
CN109273093B true CN109273093B (zh) | 2021-11-12 |
Family
ID=65189136
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811076752.0A Active CN109273093B (zh) | 2018-09-14 | 2018-09-14 | 一种川崎病风险评估模型的构建方法及构建系统 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109273093B (zh) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110504030A (zh) * | 2019-07-12 | 2019-11-26 | 中国人民解放军总医院 | 一种创伤性凝血病预测方法 |
CN110728315B (zh) * | 2019-09-30 | 2023-09-15 | 复旦大学附属中山医院 | 一种实时质量控制方法,系统和设备 |
CN111243736B (zh) * | 2019-10-24 | 2023-09-01 | 中国人民解放军海军军医大学第三附属医院 | 一种生存风险评估方法及系统 |
CN113113131B (zh) * | 2021-03-24 | 2024-02-13 | 南京途博科技有限公司 | 死亡风险预测模型的生成方法、终端及计算机存储介质 |
CN113299388B (zh) * | 2021-05-12 | 2023-09-29 | 吾征智能技术(北京)有限公司 | 基于发热伴皮疹的跨模态医学生物特征认知疾病的系统 |
CN114155955A (zh) * | 2021-12-01 | 2022-03-08 | 中国人民解放军总医院第一医学中心 | 气道梗阻严重程度评估方法及系统 |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104504366A (zh) * | 2014-11-24 | 2015-04-08 | 上海闻泰电子科技有限公司 | 基于光流特征的笑脸识别系统及方法 |
US10358676B2 (en) * | 2015-04-03 | 2019-07-23 | Kaohsiung Chang Gung Memorial Hospital | Methods and kits for detecting Kawasaki disease |
CN106339593B (zh) * | 2016-08-31 | 2023-04-18 | 北京万灵盘古科技有限公司 | 基于医疗数据建模的川崎病分类预测方法 |
CN107230108A (zh) * | 2017-06-13 | 2017-10-03 | 北京百分点信息科技有限公司 | 业务数据的处理方法及装置 |
CN108181107B (zh) * | 2018-01-12 | 2019-08-30 | 东北电力大学 | 计及多分类目标的风电机组轴承机械故障诊断方法 |
-
2018
- 2018-09-14 CN CN201811076752.0A patent/CN109273093B/zh active Active
Also Published As
Publication number | Publication date |
---|---|
CN109273093A (zh) | 2019-01-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109273093B (zh) | 一种川崎病风险评估模型的构建方法及构建系统 | |
CN109243604B (zh) | 一种基于神经网络算法的川崎病风险评估模型的构建方法及构建系统 | |
CN109065171B (zh) | 基于集成学习的川崎病风险评估模型的构建方法及系统 | |
Gjoreski et al. | Machine learning and end-to-end deep learning for the detection of chronic heart failure from heart sounds | |
CN109273094B (zh) | 一种基于Boosting算法的川崎病风险评估模型的构建方法及构建系统 | |
CN106339593B (zh) | 基于医疗数据建模的川崎病分类预测方法 | |
Cramer et al. | Predicting the incidence of pressure ulcers in the intensive care unit using machine learning | |
CN109215781B (zh) | 一种基于logistic算法的川崎病风险评估模型的构建方法及构建系统 | |
CN110827993A (zh) | 基于集成学习的早期死亡风险评估模型建立方法及装置 | |
Zhang et al. | Lstm for septic shock: Adding unreliable labels to reliable predictions | |
Ding et al. | Mortality prediction for ICU patients combining just-in-time learning and extreme learning machine | |
Mao et al. | Prediction of depression severity based on the prosodic and semantic features with bidirectional LSTM and time distributed CNN | |
CN111834017A (zh) | 一种精神药物治疗效果预测方法,系统和装置 | |
CN112530594A (zh) | 一种基于卷积生存网络的血透并发症长期风险预测系统 | |
Nakhashi et al. | Early Prediction of Sepsis: Using state-of-the-art machine learning techniques on vital sign inputs | |
Marathe et al. | Prediction of heart disease and diabetes using naive Bayes algorithm | |
CN110473631B (zh) | 基于真实世界研究的智能睡眠监测方法和系统 | |
Lodder et al. | Type D personality as a risk factor for adverse outcome in patients with Cardiovascular Disease: an individual patient-data Meta-analysis | |
CN113128654B (zh) | 一种用于冠心病预诊断中的改进型随机森林模型及其预诊断系统 | |
Liu et al. | Dynamic sepsis prediction for intensive care unit patients using XGBoost-based model with novel time-dependent features | |
Almohammed et al. | Trends of cancer-associated venous thromboembolism (VTE) in the United States (2005–2014) | |
Suneetha et al. | Fine tuning bert based approach for cardiovascular disease diagnosis | |
Shahul et al. | Machine Learning Based Analysis of Sepsis | |
Cesario et al. | Early Identification of Patients at Risk of Sepsis in a Hospital Environment | |
Ying et al. | Early Prediction of Sepsis for ICU Patients using Gradient Boosted Tree |
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 | ||
EE01 | Entry into force of recordation of patent licensing contract | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20190125 Assignee: Shanghai Qianbei Medical Technology Co.,Ltd. Assignor: BASEPAIR BIOTECHNOLOGY Co.,Ltd. Contract record no.: X2020980002296 Denomination of invention: Construction method and construction system of Kawasaki disease risk assessment model License type: Common License Record date: 20200518 |
|
TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20210712 Address after: 201600 room 406, no.6, Lane 1015, Longteng Road, Songjiang District, Shanghai Applicant after: Daozhi precision medicine technology (Shanghai) Co.,Ltd. Address before: Unit 426, A2 Floor, 218 Xinghu Street, Suzhou Industrial Park, Jiangsu Province Applicant before: BASEPAIR BIOTECHNOLOGY Co.,Ltd. |
|
GR01 | Patent grant | ||
GR01 | Patent grant | ||
EC01 | Cancellation of recordation of patent licensing contract | ||
EC01 | Cancellation of recordation of patent licensing contract |
Assignee: Shanghai Qianbei Medical Technology Co.,Ltd. Assignor: BASEPAIR BIOTECHNOLOGY Co.,Ltd. Contract record no.: X2020980002296 Date of cancellation: 20231218 |