Technological innovations in asthma patient monitoring and care

Glykas, Michael; Chytas, Panagiotis

doi:10.1016/j.eswa.2003.12.007

Cited by 27 publications

(8 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Telemedicine systems have applied in many medical specialties. Remote monitoring systems were developed to capture disease specific measurements electronically, as an example data of insulin dependent diabetes [5] and asthma patients [18]. Also, some of the systems have conducted for consultation purposes [4].…”

Section: Introductionmentioning

confidence: 99%

Exploring the success factors of health information service adoption

Topacan

Başoğlu

Daim

2008

PICMET '08 - 2008 Portland International Conference on Management of Engineering &Amp; Technology

View full text Add to dashboard Cite

Diffusion of electronic services in the medical industry has gather speed with the help of recent developments in the information and communication technologies. Health Information Service is one of these services that deal with repository, retrieval and make use of medical information in order to improve service quality and reduce cost. Usersincluding medical staff, administrative staff and patients -of these systems cannot benefit them in a full capacity unless using them comfortably. Behavior of these adopters is affected by various factors related to both of the technology characteristics, user characteristics, social environment and organizational environment in the adoption process. This research will evaluate determinants of Health Information Service adoption among users and analyze relationship of these determinants with the behavior of the user. Moreover, taxonomy about factors that affect technology usage in medical industry will be developed at the end of the study.

show abstract

Section: Introductionmentioning

confidence: 99%

Exploring the success factors of health information service adoption

Topacan

Başoğlu

Daim

2008

PICMET '08 - 2008 Portland International Conference on Management of Engineering &Amp; Technology

View full text Add to dashboard Cite

show abstract

“…The floyds-warshall algorithm provides the length of paths between all the pair of vectors. With simple modifications it is possible to create a method of reconstruction of actual path between the two end points [7]. To implement this when a new shortest path is found between two vertices.…”

Section: Distance Measurementmentioning

confidence: 99%

Proficient modus operandi for scrutinize air pollution using wireless sensor network

Rajesh¹,

Agarwal²,

Saravanan³

2014

2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014]

View full text Add to dashboard Cite

Air pollution is a critical environmental issue which is focused due materials such as Nitrogen dioxide, Carbon dioxide, Carbon monoxide, Methane, hydro carbons etc., heavy population and rapid increase in industries and vehicular transport development across the globe. This major problem should be identified, monitored and kept in control. It is also found that air pollution is the fifth cause for death in India after high blood pressure, heart diseases, poor nutrition and tobacco smoking, about 6, 20,000 deaths occur due to air pollution every year. According to World Health Organization International agency for cancer research has identified that air pollution causes carcinogenic, a major cause for lung cancer in humans. It also puts air pollution in same category as tobacco, UV rays etc. Urban air pollution causes 1.3 million deaths globally every year. A quarter of these deaths are due to lung cancer. The number of premature deaths has been increased six folds in these ten years. There are traditional air monitoring station available are quiet few and are very expensive. In paper we will discuss a dynamic and proficient method of scrutinize air pollution using wireless sensor network. The sensor materials monitors and controls the air quality system. The nodes are distributed in area of interest to measure air quality index ,compared with standard value and the collected information are transmitted to the nearest base station and to the control room for air pollution. For power management requirements the processor can be made in sleep mode during idle conditions.

show abstract

“…Intelligent facilities can be classified in this category are as follows: a ubiquitous warning system for asthmainducement in order to prevent asthma morbidity [64], providing model solutions and identifying key aspects of website design and functionality [43], providing convenient platform for tele-care and tele-consultation to enhance public knowledge and awareness of therapist, nurses, patients, and physicians in asthma disease [45].…”

Section: Intelligent Communication Facilitiesmentioning

confidence: 99%

Application of Intelligent Systems in Asthma Disease: Designing a Fuzzy Rule-Based System for Evaluating Level of Asthma Exacerbation

2011

View full text Add to dashboard Cite

This paper discusses the capacities of artificial intelligence in the process of asthma diagnosing and asthma treatment. Developed intelligent systems for asthma disease have been classified in five categories including diagnosing, evaluating, management, communicative facilities, and prediction. Considering inputs, results, and methodologies of the systems show that by focusing on meticulous analysis of quality of life as an input variable and developing patient-based systems, under-diagnosing and asthma morbidity and mortality would decrease significantly. Regard to the importance of accurate evaluation in accurate prescription and expeditious treatment, the methodology of developing a fuzzy expert system for evaluating level of asthma exacerbation is presented in this paper too. The performance of this system has been tested in Asthma, Allergy, and Immunology Center of Iran using 25 asthmatic patients. Comparison between system's results and physicians' evaluations using Kappa coefficient (K) reinforces the value of K = 1. In addition this system assigns a degree in gradation (0-10) to every patient representing the slight differences between patients assigned to a specific category.

show abstract

Technological innovations in asthma patient monitoring and care

Cited by 27 publications

References 15 publications

Exploring the success factors of health information service adoption

Exploring the success factors of health information service adoption

Proficient modus operandi for scrutinize air pollution using wireless sensor network

Application of Intelligent Systems in Asthma Disease: Designing a Fuzzy Rule-Based System for Evaluating Level of Asthma Exacerbation

Contact Info

Product

Resources

About