CN113767401A - 跨医疗数据源的网络表示学习算法 - Google Patents
跨医疗数据源的网络表示学习算法 Download PDFInfo
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- 238000013528 artificial neural network Methods 0.000 claims abstract description 26
- 201000010099 disease Diseases 0.000 claims abstract description 15
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 15
- 238000000034 method Methods 0.000 claims abstract description 10
- 238000005070 sampling Methods 0.000 claims abstract description 4
- 239000013598 vector Substances 0.000 claims description 42
- 230000002776 aggregation Effects 0.000 claims description 15
- 238000004220 aggregation Methods 0.000 claims description 15
- 230000006870 function Effects 0.000 claims description 12
- 239000013604 expression vector Substances 0.000 claims description 10
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- 150000001875 compounds Chemical class 0.000 claims description 6
- 230000001186 cumulative effect Effects 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 6
- 208000024891 symptom Diseases 0.000 claims description 6
- 238000003745 diagnosis Methods 0.000 claims description 4
- 230000004913 activation Effects 0.000 claims description 3
- 102200004932 rs76764689 Human genes 0.000 claims description 2
- 238000013135 deep learning Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000001939 inductive effect Effects 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
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- 238000012986 modification Methods 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
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- 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
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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
- G16H70/00—ICT specially adapted for the handling or processing of medical references
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Abstract
一种跨医疗数据源的网络表示学习算法，包括：S1，生成包括源网络和目标网络的医疗网络数据；S2，从源网络和目标网络随机采样设定数量的节点；S3，得到一个L层的神经网络，并对每一层分别计算源网络和目标网络的结构特征和表达特征，计算源网络和目标网络的网络特征之间的距离损失；S4，得到源网络在L层神经网络的输出，并根据分类损失和距离损失计算损失值，根据反向传播算法更新算法的参数；S5，重复步骤S2‑S4，直至整个算法收敛，使得算法对于疾病分类的准确率在多个迭代内不再上升。有益效果：考虑了不同医院数据源之间数据分布不一致的问题,通过提取网络的结构信息及节点属性信息、最小化特征距离弥补信息损失，有着广阔的应用空间。
Description
PCT国内申请，说明书已公开。
Claims (5)
- PCT国内申请，权利要求书已公开。
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2020/083377 WO2021196239A1 (zh) | 2020-04-03 | 2020-04-03 | 跨医疗数据源的网络表示学习算法 |
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| CN113767401A true CN113767401A (zh) | 2021-12-07 |
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| CN202080005552.5A Pending CN113767401A (zh) | 2020-04-03 | 2020-04-03 | 跨医疗数据源的网络表示学习算法 |
| CN202180006088.6A Pending CN114730638A (zh) | 2020-04-03 | 2021-04-06 | 跨医疗数据源的网络表示学习算法 |
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| CN202180006088.6A Pending CN114730638A (zh) | 2020-04-03 | 2021-04-06 | 跨医疗数据源的网络表示学习算法 |
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| Country | Link |
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| CN (2) | CN113767401A (zh) |
| WO (2) | WO2021196239A1 (zh) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116597971B (zh) * | 2023-07-18 | 2023-09-19 | 山东新睿信息科技有限公司 | 基于数字孪生的医院空间优化模拟方法及系统 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20190171714A1 (en) * | 2008-03-21 | 2019-06-06 | Safermed, LLC d/b/a SaferMD, LLC | Artificial Intelligence Quality Measures Data Extractor |
| US20120084092A1 (en) * | 2010-10-04 | 2012-04-05 | Kozuch Michael J | Method and apparatus for a comprehensive dynamic personal health record system |
| CN108461151B (zh) * | 2017-12-15 | 2021-06-15 | 北京大学深圳研究生院 | 一种知识图谱的逻辑增强方法及装置 |
| CN108399431A (zh) * | 2018-02-28 | 2018-08-14 | 国信优易数据有限公司 | 分类模型训练方法以及分类方法 |
| US20190279767A1 (en) * | 2018-03-06 | 2019-09-12 | James Stewart Bates | Systems and methods for creating an expert-trained data model |
| CN109036553B (zh) * | 2018-08-01 | 2022-03-29 | 北京理工大学 | 一种基于自动抽取医疗专家知识的疾病预测方法 |
| CN109273062A (zh) * | 2018-08-09 | 2019-01-25 | 北京爱医声科技有限公司 | Icd智能辅助编码系统 |
| CN109635121A (zh) * | 2018-11-07 | 2019-04-16 | 平安科技（深圳）有限公司 | 医疗知识图谱创建方法及相关装置 |
| CN109559822A (zh) * | 2018-11-12 | 2019-04-02 | 平安科技（深圳）有限公司 | 智能初诊方法、装置、计算机设备及存储介质 |
| CN109636788A (zh) * | 2018-12-11 | 2019-04-16 | 中国石油大学(华东) | 一种基于深度神经网络的ct图像胆结石智能检测模型 |
| CN109920547A (zh) * | 2019-03-05 | 2019-06-21 | 北京工业大学 | 一种基于电子病历数据挖掘的糖尿病预测模型构建方法 |
| CN110299209B (zh) * | 2019-06-25 | 2022-05-20 | 北京百度网讯科技有限公司 | 相似病历查找方法、装置、设备及可读存储介质 |
| CN110532436B (zh) * | 2019-07-17 | 2021-12-03 | 中国人民解放军战略支援部队信息工程大学 | 基于社区结构的跨社交网络用户身份识别方法 |
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2020
- 2020-04-03 WO PCT/CN2020/083377 patent/WO2021196239A1/zh active Application Filing
- 2020-04-03 CN CN202080005552.5A patent/CN113767401A/zh active Pending
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2021
- 2021-04-06 WO PCT/CN2021/085611 patent/WO2021197491A1/zh active Application Filing
- 2021-04-06 CN CN202180006088.6A patent/CN114730638A/zh active Pending
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| Publication number | Publication date |
|---|---|
| WO2021197491A1 (zh) | 2021-10-07 |
| CN114730638A (zh) | 2022-07-08 |
| WO2021196239A1 (zh) | 2021-10-07 |
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