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Decision tree–based classifier in providing telehealth service

Ching-Chin Chern, Yu-Jen Chen, Bo Hsiao
2019 BMC Medical Informatics and Decision Making  
Although previous research showed that telehealth services can reduce the misuse of resources and urban-rural disparities, most healthcare insurers do not include telehealth services in their health insurance  ...  The problem of identifying the potential recipients of telehealth services when introducing telehealth services into health welfare or health insurance schemes becomes an unsupervised classification problem  ...  in accordance with Social and Behavioral Research Ethical Principles and Regulation of National Taiwan University and governmental laws and regulation of Taiwan.  ... 
doi:10.1186/s12911-019-0825-9 pmid:31146749 pmcid:PMC6543775 fatcat:qj2qu4x5pnciteyr45hlr4rj3i

Role of Artificial Intelligence within the Telehealth Domain

Craig Kuziemsky, Anthony Maeder, Oommen John, Shashi Gogia, Arindam Basu, Sushil Meher, Marcia Ito
2019 IMIA Yearbook of Medical Informatics  
These methods are focussed on clinical needs and provide some insight to current directions, based on reports of recent advances.  ...  Objectives: This paper provides a discussion about the potential scope of applicability of Artificial Intelligence methods within the telehealth domain.  ...  AI mechanisms for these agents are typically rule-based using expert systems or decision tree logical constructs. Schumaker et al.  ... 
doi:10.1055/s-0039-1677897 pmid:31022750 pmcid:PMC6697552 fatcat:tg4zmtksxjceho72oakmee4h5y

Investigating the Components of Virtual Emergency Department [chapter]

Elham Shojaei, Emilio Luque, Dolores Rexachs
2022 Studies in Health Technology and Informatics  
All of these matters emphasized the importance of the Virtual Emergency Department which can provide faster and more affordable medical services while everyone can keep the social distance as much as possible  ...  We have proposed a model for this integrated model and studied the possibility of success in each step including admission, triage, diagnoses, and clinical advice based on literature.  ...  AI-based Solution in Diagnoses Using AI and ML classifiers such as Fuzzy Logic System, Decision Tree, SVM (support vector machine), K-nearest neighbours (KNN), PNN ( probabilistic neural network), and  ... 
doi:10.3233/shti220012 pmid:35593761 fatcat:a7ovhdzqlza6nl26uuq42pu724

Involving Citizen-Patients in the Development of Telehealth Services: Qualitative Study of Experts' and Citizen-Patients' Perspectives

Hassane Alami, Marie-Pierre Gagnon, Jean-Paul Fortin
2018 Journal of Participatory Medicine  
and expectations of populations in decisions about telehealth services.  ...  Decisions regarding telehealth services in Quebec (Canada) have been largely technocratic by nature for the last 15 years, and the involvement of citizen-patients in the development of telehealth services  ...  from experts based in Quebec City or in Montreal?  ... 
doi:10.2196/10665 pmid:33052126 fatcat:3v52a7jl7bfindjoala62rdmki

Advances in next era cloud-empowered computing and techniques

Jason C. Hung, Gangman Yi
2017 Journal of Supercomputing  
Daesung Moon et al. propose a decision tree-based IDS against APT attacks.  ...  This paper proposed a decision tree-based IDS applying behavior analysis for detecting APT attacks.  ... 
doi:10.1007/s11227-017-2099-2 fatcat:oytvoby3p5geffzkidwji4gg3y

A Risk Assessment Framework Proposal Based on Bow-Tie Analysis for Medical Image Diagnosis Sharing within Telemedicine

Thiago Poleto, Maisa Mendonça Silva, Thárcylla Rebecca Negreiros Clemente, Ana Paula Henriques de Gusmão, Ana Paula de Barros Araújo, Ana Paula Cabral Seixas Costa
2021 Sensors  
telemedicine services.  ...  The bow-tie method combines fault tree analysis (FTA) and event tree analysis (ETA).  ...  Acknowledgments: The authors would also like to thank the Federal University of Pará (UFPA) and and GPSID-a decision and information systems research group supporting this research project.  ... 
doi:10.3390/s21072426 pmid:33915932 fatcat:34avtkpskzcdvc6nrm36qwniku

Overview: Computational analysis and decision support systems in oncology

Fillia Makedon, Vangelis Karkaletsis, Ilias Maglogiannis
2006 Oncology Reports  
telehealth applications in oncology.  ...  Computational analysis tools and decision support systems have increased their penetration in the support of clinical processes and management of medical data and knowledge.  ...  The study also tests the robustness and real-time response of proposed classifiers over the web as a potential integrated web-based decision support system.  ... 
doi:10.3892/or.15.4.971 fatcat:bp4gtjzqjzblre3ftyxf7lhgt4

An intelligent recommender system based on predictive analysis in telehealthcare environment

Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Vincent S. Tseng, Yonglong Luo, Fulong Chen, Xiaohui Tao, Wei Huang, Xiangming Mu, Haoran Xie
2016 Web Intelligence: an international journal  
The objective of this study is to develop an intelligent recommender system based on predictive analysis for advising patients in the telehealth environment concerning whether they need to take the body  ...  This study highlights the possible usefulness of the computerized analysis of time series telehealth data in providing appropriate recommendations to patients suffering chronic diseases such as heart diseases  ...  We will develop and evaluate more predictive models such as SVM, KNN classifier, decision tree, etc in this recommender system.  ... 
doi:10.3233/web-160348 fatcat:qgh2sly7pnennbd6qzh4fappfe

Chatbot as a Telehealth Intervention Strategy in the COVID-19 Pandemic

Bruno Azevedo Chagas, Kícila Ferreguetti, Thiago C. Ferreira, Milena S. Marcolino, Leonardo B. Ribeiro, Adriana S. Pagano, Zilma S. N. Reis, Raquel O. Prates, Wagner Meira Jr., Antonio L. Ribeiro
2021 CLEI Electronic Journal  
One of the strategies that have been implemented are chatbots, which can be helpful in providing reliable health information and preventing people from seeking assistance in healthcare centers and being  ...  In this context, although a high number of chatbots have been implemented worldwide, little has been discussed about the process and challenges in developing and implementing this technology.  ...  Acknowledgements This study was supported in part by CAPES Foundation (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) [grant number 88887.507149/2020-00] and by the PRPq/UFMG (Pró-Reitoria  ... 
doi:10.19153/cleiej.24.3.6 fatcat:qrstqcc5jfazdieasfmz73e4ea

Providing a cushion for wireless healthcare application development

Yu Hu, A. Stoelting, Yi-Tao Wang, Yi Zou, M. Sarrafzadeh
2010 IEEE potentials  
Our classifier consists of a decision tree for a coarse classification of posture information on X-Z plane and Y-Z plane. Each node of the decision tree is a subclassifier based on the SVM model.  ...  Fig. 4 Fig. 5 A 45 The snapshot of the training program running in a PDA. machine learning-based classifier for sitting posture analysis.  ... 
doi:10.1109/mpot.2009.934698 fatcat:dl2nv3znlremlpph4o2x2ptn6q

An integrated strategy of knowledge application for optimal e-health implementation: A multi-method study protocol

Marie-Pierre Gagnon, France Légaré, Jean-Paul Fortin, Lise Lamothe, Michel Labrecque, Julie Duplantie
2008 BMC Medical Informatics and Decision Making  
Decision-making at each decisional level (political, organisational and clinical) are analysed based on specific approaches. At the political level, critical incidents analysis is being used.  ...  However, decisions regarding e-health applications are usually not evidence-based, which can lead to a sub-optimal use of these technologies.  ...  and that, for each decisional level and each technology considered (telehealth and EHR).  ... 
doi:10.1186/1472-6947-8-17 pmid:18435853 pmcid:PMC2390530 fatcat:l557cimhyvax3omqss75boop6u

Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation [article]

C. Chalmers, P.Fergus, C. Aday Curbelo Montanez, S.Sikdar, F.Ball and B. Kendall
2019 arXiv   pre-print
A Support Vector Machine (SVM) and Random Decision Forest classifier are modelled using data from three test homes.  ...  Consequently, the strain this is places on health and social care services means providing 24-hour monitoring is not sustainable.  ...  Thanks are also given to Pauline Parker, Head of Research and Jill Pendleton, from Community Services at Mersey Care NHS Foundation Trust.  ... 
arXiv:1903.12080v1 fatcat:mxuubsc6fvczzghgafghf7257u

COVID-19 in Brazil—Preliminary Analysis of Response Supported by Artificial Intelligence in Municipalities

Hugo M. P. Morales, Murilo Guedes, Jennifer S. Silva, Adriano Massuda
2021 Frontiers in Digital Health  
In the present study we describe a descriptive case report analyzing the use of Laura Digital Emergency Room—an AI-powered telehealth platform—in three different cities.  ...  Almost half (44.8%) of the patients were classified as having mild symptoms, 33.6% were classified as moderate and only 14.2% were classified as severe.  ...  services.  ... 
doi:10.3389/fdgth.2021.648585 pmid:34713121 pmcid:PMC8521842 fatcat:4d6njohahfekbblcvdon6hgj4i

Shallow Net for COVID-19 Classification Based on Biomarkers

Mahmoud B. Rokaya
2022 International Journal of Advanced Computer Science and Applications  
At the beginning, the number of classified status and the available data are limited, so, in such situation, one needs a system that can be trained based on limited data to give a trusted result.  ...  Even with limited data, the decision trees (DT) was able to distinguish between recovered patients and mortalities with accuracy of 94%. Shallow dense network achieved accuracy of 75%.  ...  Hemdan, Taif University, for providing the official data that had been used in this work.  ... 
doi:10.14569/ijacsa.2022.0130613 fatcat:nz4c23drgfdcdh2ykyyzehob6i

The Role of Internet of Things to Control the Outbreak of COVID-19 Pandemic

Aniello Castiglione, Muhammad Umer, Saima Sadiq, Mohammad S. Obaidat, Pandi Vijayakumar
2021 IEEE Internet of Things Journal  
This technology enables devices to connect in the hospitals and other planned locations to combat this situation.  ...  using IoT devices); 3) data warehouse (analysis using machine learning models); and 4) health professionals (provide treatment).  ...  The IoT can link service providers to the persons in need in emergency conditions. The IoT is a network that provides innovative applications and services through communication links [3] .  ... 
doi:10.1109/jiot.2021.3070306 pmid:35782179 pmcid:PMC8769024 fatcat:wbri4amw5vdonddx6mydoqh6yi
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