Proceedings of the 4th International Conference on Medical and Health Informatics最新文献

Enhancing Decision Making with Deep Reinforcement Learning in a Context of Novel Coronavirus Outbreak: an Example in Emergency Department 新型冠状病毒疫情背景下深度强化学习增强决策:以急诊科为例

Proceedings of the 4th International Conference on Medical and Health Informatics Pub Date : 2020-08-14 DOI: 10.1145/3418094.3418137

H. Jiang, William Yu Chung Wang, T. Goh, Jie Zhu

引用次数: 0

A Low-Cost Method for Designing and Updating a DRGs Classifier Based on Machine Learning 基于机器学习的低成本DRGs分类器设计与更新方法

Proceedings of the 4th International Conference on Medical and Health Informatics Pub Date : 2020-08-14 DOI: 10.1145/3418094.3418111

Chenhao Fang, Zhenzhou Shao, Chao Wu

{"title":"A Low-Cost Method for Designing and Updating a DRGs Classifier Based on Machine Learning","authors":"Chenhao Fang, Zhenzhou Shao, Chao Wu","doi":"10.1145/3418094.3418111","DOIUrl":"https://doi.org/10.1145/3418094.3418111","url":null,"abstract":"Diagnosis-related groups(DRGs) is a payment system that can effectively solve the problem of excessive increases in health care costs. When DRGs was implemented in China, due to the complex medical environment, the design and update cost of traditional rules-based DRGs classifier became extremely high. In this paper, we proposed a low-cost method for designing and updating a DRGs classifier based on machine learning. This method first uses a rule-based classifier to classify cases roughly according to their major clinical features. With the assistance of the decision tree algorithm, this rule-based classifier can be easily designed and updated by experts. Then, an XGBoost(Extreme Gradient Boosting) classifier based on the one-vs-all(OVR) strategy is trained by a large number of cases labeled by experts or existing DRGs classifier, which will classify cases to each DRG. In the experiments, we proved that the method can utilize cases generated and labeled by China Healthcare Security Diagnosis Related Groups(CHS-DRG) classifier to design a classifier with the performance similar to the CHS-DRG classifier.Updated by low cost, the classifier performance can constantly improve after putting into use.","PeriodicalId":192804,"journal":{"name":"Proceedings of the 4th International Conference on Medical and Health Informatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121746196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Exploring the Attractive Factors of Floricultural Therapy: A Case Study on Nurses 探讨花卉疗法的吸引因素:以护士为例

Proceedings of the 4th International Conference on Medical and Health Informatics Pub Date : 2020-08-14 DOI: 10.1145/3418094.3418139

Wen-Hui Chen, Chun-Chin Chen, Shu-Ming Wu

引用次数: 0

Characterization of the Impact of Sars-Cov-2 Pandemic Social Isolation on the Psychosocial Well-Being of Public University Students, Based on the Ghq-28 Scale 基于Ghq-28量表表征新型冠状病毒大流行社会隔离对公立大学学生心理社会健康的影响

Proceedings of the 4th International Conference on Medical and Health Informatics Pub Date : 2020-08-14 DOI: 10.1145/3418094.3418103

M. Ferrer, V. Mancha, Melina I. Chumpitaz, Jaqueline Begazo, M. Chauca

{"title":"Characterization of the Impact of Sars-Cov-2 Pandemic Social Isolation on the Psychosocial Well-Being of Public University Students, Based on the Ghq-28 Scale","authors":"M. Ferrer, V. Mancha, Melina I. Chumpitaz, Jaqueline Begazo, M. Chauca","doi":"10.1145/3418094.3418103","DOIUrl":"https://doi.org/10.1145/3418094.3418103","url":null,"abstract":"Globally we are going through a difficult situation due to this pandemic due to COVID-19, one of the most effective measures implemented by most governments has been social isolation, which can cause psychosocial risk; The objective of this study is to evaluate the psychosocial well-being of the students of a Peruvian public university during the 90 days of social isolation; the method we have used is descriptive - cross-sectional, with a non-probability sample of 285 university students, who filled out an online survey to detect psychosocial symptoms, using the General Health Questionnaire (GHQ-28); finding that 72.6% of students exposed to a medium-high level of psychosocial risk. In conclusion, an association was found between a medium-high level of psychosocial risk and the variables: cohabiting with people at risk for COVID-19 (Xi2 = 9,661 and p <0.05); present symptoms compatible with COVID-19 19 (Xi2 = 28,957 and p <0.05) and cohabit with COVID-19 patients (Xi2 = 8,803 and p <0.05).","PeriodicalId":192804,"journal":{"name":"Proceedings of the 4th International Conference on Medical and Health Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131143892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Applying Deep Learning for Prediction Sleep Quality from Wearable Data 应用深度学习从可穿戴数据预测睡眠质量

Proceedings of the 4th International Conference on Medical and Health Informatics Pub Date : 2020-08-14 DOI: 10.1145/3418094.3418114

Dinh-Van Phan, Chien-Lung Chan, Duc-Khanh Nguyen

引用次数: 6

Predicting Diabetes Mellitus and its Complications through a Graph-Based Risk Scoring System 通过基于图的风险评分系统预测糖尿病及其并发症

Proceedings of the 4th International Conference on Medical and Health Informatics Pub Date : 2020-08-14 DOI: 10.1145/3418094.3418115

Madurapperumage A. Erandathi, W. Wang, Michael Mayo

{"title":"Predicting Diabetes Mellitus and its Complications through a Graph-Based Risk Scoring System","authors":"Madurapperumage A. Erandathi, W. Wang, Michael Mayo","doi":"10.1145/3418094.3418115","DOIUrl":"https://doi.org/10.1145/3418094.3418115","url":null,"abstract":"It is vital to estimate and predict the chronological risk rate of individuals of diabetes mellitus and its complications through non-invasive or minimally invasive methods. Data mining and machine learning techniques are applied to health data repositories to achieve this goal. Although past studies have used various combinations of technologies for the assessment and prediction of diabetes and its complications, there is a lack of attention to combining temporal data with a visual representation assessment technique, which can be widely accepted. Further, prediction of risk throughout the lifetime of an individual in a chronological manner by considering their future changes with respect to the characteristics of a similar cohort is something worth contemplating for accurate risk prediction models. We aim to introduce a simple, powerful visualization technique to self-monitoring, which will be highly beneficial in enhancing the health care management sector through empowering self-care management and policymaking. The system will effectively impact the progression of diabetes and its complications by early forecasting the risk without the aid of professional physician knowledge which would help to reduce the burden of the disease while saving the expenditures of diabetes mellitus.","PeriodicalId":192804,"journal":{"name":"Proceedings of the 4th International Conference on Medical and Health Informatics","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124244907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Accessibility Analysis of Hospitals Medical Services in Urban Modernization 城市现代化中医院医疗服务可达性分析

Proceedings of the 4th International Conference on Medical and Health Informatics Pub Date : 2020-08-14 DOI: 10.1145/3418094.3418101

Tao Fan, Ying Sun, Xuhe Xie

引用次数: 0

Study on the Effect of Peer Education on Anxiety and Depression of Ostomy Patients 同伴教育对造口患者焦虑、抑郁的影响研究

Proceedings of the 4th International Conference on Medical and Health Informatics Pub Date : 2020-08-14 DOI: 10.1145/3418094.3418147

Jiaojiao Gu, Hao Jianling

引用次数: 1

Efficient Signature Scheme Using Extended Chaotic Maps for Medical Imaging Records 基于扩展混沌映射的医学影像记录有效签名方案

Proceedings of the 4th International Conference on Medical and Health Informatics Pub Date : 2020-08-14 DOI: 10.1145/3418094.3418144

Tian-Fu Lee, Ting-Shun Kung, I-Pin Chang

{"title":"Efficient Signature Scheme Using Extended Chaotic Maps for Medical Imaging Records","authors":"Tian-Fu Lee, Ting-Shun Kung, I-Pin Chang","doi":"10.1145/3418094.3418144","DOIUrl":"https://doi.org/10.1145/3418094.3418144","url":null,"abstract":"Digital security issues such as medical records, diagnostic certificates, medical images, etc. in the medical community have gradually been paid attention to. Nowadays, encrypting and signing electronic medical records including medical imaging records still have to rely on time-consuming exponential computations. Generally, medical image files are often larger and quite different from electronic medical text record file in characteristic, size and format. Recently, the chaotic map operation has been discovered to be superior to modular exponential or scalar multiplications on an elliptic curve. The extended chaotic maps also provide the characteristics of semigroup, commutative property, and the discrete logarithm problem, and thus are suitable for the development of asymmetric cryptosystems. This study develops a signature scheme based on extended chaotic maps that is suitable for medical imaging records. The proposed signature scheme not only provides the properties of digital signatures, including authentication, unforgeability and non-repudiation, but also is more efficient than the related signature mechanism used in medical institutions today.","PeriodicalId":192804,"journal":{"name":"Proceedings of the 4th International Conference on Medical and Health Informatics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114757745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Understanding Adoption of Electronic Medical Records: Application of Process Mining for Health Worker Behavior Analysis 理解电子病历的采用:过程挖掘在卫生工作者行为分析中的应用

Proceedings of the 4th International Conference on Medical and Health Informatics Pub Date : 2020-08-14 DOI: 10.1145/3418094.3418109

D. Villamor, Christian E. Pulmano, M. R. Estuar

{"title":"Understanding Adoption of Electronic Medical Records: Application of Process Mining for Health Worker Behavior Analysis","authors":"D. Villamor, Christian E. Pulmano, M. R. Estuar","doi":"10.1145/3418094.3418109","DOIUrl":"https://doi.org/10.1145/3418094.3418109","url":null,"abstract":"In the Philippine Health Insurance Company (PHIC) Advisory 04-2016, Primary Care Providers were given until the end of the year to adopt any of the certified electronic medical record providers for submission of patient profiling and patient consultations. With much emphasis on how electronic medical records can pave the way for better health care, this study presents finding on one year usage of a certified electronic medical record in selected areas in the Philippines. The study uses a novel approach in understanding technology adoption through process mining - technique often used in Business Process Analysis (BPA). A total of 8.8 million system-generated usage logs including: Session ID, Timestamp, URL Visited, URL Source, User ID were extracted as part of the dataset. Pre-processing techniques were performed on the data set prior to process mining. In using process mining to understand user behavior based on system-generated usage logs, one must consider: how to identify a case (i.e. how to group activities together), and how to structure your data in a way that allows the inference of real world activities and processes. Using standard adoption models shows us that adoption of early implementation of EMRs remain at basic usage with only a few users fully embracing the technology. However, use of process mining in understanding user behavior depicts actual workflow and presents adoption at a more advanced level.","PeriodicalId":192804,"journal":{"name":"Proceedings of the 4th International Conference on Medical and Health Informatics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125287187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2