scholarly journals P9‐72: Development and pilot testing of AsmaBoleh : A mobile application to identify the risk factors of asthma attack among Malaysian adults

Respirology ◽  
2021 ◽  
Vol 26 (S3) ◽  
pp. 390-391
Keyword(s):  
Risk Factors ◽  
Mobile Application ◽  
Pilot Testing ◽  
Asthma Attack

scholarly journals Evitapp: Persuasive Application for Physical Activity and Smoking Cessation

Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1208 ◽  
Author(s):  
Antonio Bascur ◽  
Pedro Rossel ◽  
Valeria Herskovic ◽  
Claudia Martínez-Carrasco
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Smoking Cessation ◽  
Mobile Application ◽  
Cardiovascular Health ◽  
Sedentary Lifestyle ◽  
Smoking Habit ◽  
Tracking Devices

The most important risk factors for cardiovascular health are smoking and a sedentary lifestyle. This paper proposes Evitapp, a mobile application designed to promote physical activity and smoking cessation. The application does not use additional tracking devices, rather relying on phone sensors to track physical activity, and on users logging their behavior. Nineteen users tested the application over 10 days. Participants found the applications easy to use and used them approximately once per day. Even though the habits of the experiment participants did not change significantly, those who used the smoking cessation application reported decreasing their smoking habit.

scholarly journals Feasibility of Using a Mobile Application for the Monitoring and Management of Stroke-Associated Risk Factors

2015 ◽  
Vol 11 (2) ◽  
pp. 142 ◽  
Author(s):  
Woo-Keun Seo ◽  
Jaewoo Kang ◽  
Minji Jeon ◽  
Kyubum Lee ◽  
Sunwon Lee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mobile Application ◽  
Associated Risk Factors

scholarly journals A protocol to assess the risk of dementia among patients with coronary artery diseases using CAIDE score

F1000Research ◽  
2021 ◽  
Vol 9 ◽  
pp. 1256
Author(s):  
Fardina Rahman Omi ◽  
Lingkan Barua ◽  
Palash Chandra Banik ◽  
Mithila Faruque
Keyword(s):  
Risk Factors ◽  
Coronary Artery ◽  
Mobile Application ◽  
Coronary Revascularization ◽  
Rehabilitation Program ◽  
Online News ◽  
Ethical Review ◽  
Physical Parameters ◽  
Cross Sectional ◽  
The Impact

Introduction: The impact of coronary artery disease (CAD) on the later development of dementia is not well studied globally. Therefore, this study aims to determine the long-term risk of dementia using a mobile application-based tool in addition to elucidating the contributing factors among CAD patients.  Protocol: This cross-sectional study collected data from 285 stable CAD patients admitted to the “Ibrahim Cardiac Hospital and Research Institute” for coronary revascularization from August 2019 to July 2020. The patients were recruited using a convenient sampling technique due to economic and logistical issues. Data were collected through a face-to-face interview using a pretested semi-structured questionnaire. Physical parameters (blood pressure and anthropometry) were measured while maintaining the adequate privacy of the patients. The biochemical parameters analyzed by the hospital lab were also collected. The next phase of this study involves the use of a mobile application that uses the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) dementia risk score, to determine the risk factors associated with dementia. In addition, a descriptive statistical and inferential analysis will also be performed to determine the key contributing risk factors linked to the development of dementia. Ethics and dissemination: The study has been reviewed and approved by the Ethical Review Committee of Bangladesh University of Health Sciences. The results will be actively disseminated through peer-reviewed journals, conference presentations, social media, online news portal, the internet, and various community/stakeholder engagement activities. Conclusion: As a baseline study of the country, this study will fill a key knowledge gap in the pathway to the development of better interventions for dementia in Bangladesh. Outcomes from this study will also help with raising awareness on the association of mental health-related issues with cardiovascular diseases so that an improved cardiac rehabilitation program can be implemented in Bangladesh.

Q-IBADAH MOBILE APPLICATION: A USABILITY PILOT TESTING

2015 ◽  
Vol 77 (29) ◽  
Author(s):  
Aeni Zuhana Saidin ◽  
Khairun Salwa Mohamed ◽  
Zayana Husnayat Adzmi ◽  
Nurul Wadhihah Azhar
Keyword(s):  
Software Development ◽  
Learning Style ◽  
Mobile Application ◽  
Mobile App ◽  
Religious Knowledge ◽  
Pilot Testing ◽  
Testing Phase ◽  
Development Cycle ◽  
Development Phases ◽  
App Design

Q-Ibadah is a mobile application that aims to nurture KAFA students on their Islamic and religious knowledge.  The lack of accessibility of digital and online KAFA subject resources have become the motivation in the development of this mobile app.  Design and development of this application have followed the software development phases by iterating its design based on the results gathered during the usability pilot-testing phase.  As a result, few alterations were suggested for the next development cycle. This research is aimed to provide more contemporary learning style for this important religious lesson for children in Malaysia.

scholarly journals Predictive models for personalized asthma attacks based on patient’s biosignals and environmental factors: a systematic review

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Eman T. Alharbi ◽  
Farrukh Nadeem ◽  
Asma Cherif
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Environmental Factors ◽  
Predictive Models ◽  
Critical Appraisal ◽  
Prediction Models ◽  
Research Articles ◽  
Support Vector ◽  
World Population ◽  
Asthma Attack

Abstract Background Asthma is a chronic disease that exacerbates due to various risk factors, including the patient’s biosignals and environmental conditions. It is affecting on average 7% of the world population. Preventing an asthma attack is the main challenge for asthma patients, which requires keeping track of any risk factor that can cause a seizure. Many researchers developed asthma attacks prediction models that used various asthma biosignals and environmental factors. These predictive models can help asthmatic patients predict asthma attacks in advance, and thus preventive measures can be taken. This paper introduces a review of these models to evaluate the used methods, model’s performance, and determine the need to improve research in this field. Method A systematic review was conducted for the research articles introducing asthma attack prediction models for children and adults. We searched the PubMed, ScienceDirect, Springer, and IEEE databases from January 2000 to December 2020. The search includes the prediction models that used biosignal, environmental, and both risk factors. The research article’s quality was assessed and scored based on two checklists, the Checklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS) and the Critical Appraisal Skills Programme clinical prediction rule checklist (CASP). The highest scored articles were selected to review. Result From 1068 research articles we reviewed, we found that most of the studies used asthma biosignal factors only for prediction, few of the studies used environmental factors, and limited studies used both of these factors. Fifteen different asthma attack predictive models were selected for this review. we found that most of the studies used traditional prediction methods, like Support Vector Machine and regression. We have identified the pros and cons of the reviewed asthma attack prediction models and propose solutions to advance the studies in this field. Conclusion Asthma attack predictive models become more significant when using both patient’s biosignal and environmental factors. There is a lack of utilizing advanced machine learning methods, like deep learning techniques. Besides, there is a need to build smart healthcare systems that provide patients with decision-making systems to identify risk and visualize high-risk regions.

scholarly journals A protocol to assess the risk of dementia among patients with coronary artery diseases using CAIDE score

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1256
Author(s):  
Fardina Rahman Omi ◽  
Lingkan Barua ◽  
Palash Chandra Banik ◽  
Mithila Faruque
Keyword(s):  
Risk Factors ◽  
Coronary Artery ◽  
Mobile Application ◽  
Coronary Revascularization ◽  
Rehabilitation Program ◽  
Online News ◽  
Ethical Review ◽  
Physical Parameters ◽  
Cross Sectional ◽  
The Impact

Introduction: The impact of coronary artery disease (CAD) on the later development of dementia is not well studied globally. Therefore, this study aims to determine the long-term risk of dementia using a mobile application-based tool in addition to elucidating the contributing factors among CAD patients.  Protocol: This ongoing cross-sectional study is collecting data from 285 stable CAD patients admitted to the “Ibrahim Cardiac Hospital and Research Institute” for coronary revascularization from August 2019 to July 2020. The patients were recruited using a convenient sampling technique due to economic and logistical issues. Data were collected through a face-to-face interview using a pretested semi-structured questionnaire. Physical parameters (blood pressure and anthropometry) were measured while maintaining the adequate privacy of the patients. The biochemical parameters analyzed by the hospital lab were also collected. The next phase of this study involves the use of a mobile application-based tool, “The Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE)” risk score, to determine the risk factors associated with dementia. In addition, a descriptive statistical and inferential analysis will also be performed to determine the key contributing risk factors linked to the development of dementia. Ethics and dissemination: The study has been reviewed and approved by the Ethical Review Committee of Bangladesh University of Health Sciences. The results will be actively disseminated through peer-reviewed journals, conference presentations, social media, online news portal, the internet, and various community/stakeholder engagement activities. Conclusion: As a baseline study of the country, this study will fill a key knowledge gap in the pathway to the development of better interventions for dementia in Bangladesh. Outcomes from this study will also help with raising awareness on the association of mental health-related issues with cardiovascular diseases so that an improved cardiac rehabilitation program can be implemented in Bangladesh.

Predictive Models for Personalized Asthma Attacks Based on Patient’s Biosignals and Environmental Factors: A Systematic Review

2021 ◽  
Author(s):  
Eman T. Alharbi ◽  
Farrukh Nadeem ◽  
Asma Cherif
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Environmental Factors ◽  
Predictive Models ◽  
Critical Appraisal ◽  
Prediction Models ◽  
Research Articles ◽  
Support Vector ◽  
World Population ◽  
Asthma Attack

Abstract Background: Asthma is a chronic disease that exacerbates due to various risk factors, including the patient's biosignals and environmental conditions. It is affecting on average 7% of the world population. Preventing an asthma attack is the main challenge for asthma patients, which requires keeping track of any risk factor that can cause a seizure. Many researchers developed asthma attacks prediction models that used various asthma biosignals and environmental factors. These predictive models can help asthmatic patients predict asthma attacks in advance, and thus preventive measures can be taken. This paper introduces a review of these models to evaluate the used methods, model's performance, and determine the need to improve research in this field.Method: A systematic review was conducted for the research articles introducing asthma attack prediction models for children and adults. We searched the PubMed, ScienceDirect, Springer, and IEEE databases from January 2000 to December 2020. The search includes the prediction models that used biosignal, environmental, and both risk factors. The research article's quality was assessed and scored based on two checklists, the Checklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS) and the Critical Appraisal Skills Programme clinical prediction rule checklist (CASP). The highest scored articles were selected to review.Result: From 1068 research articles we reviewed, we found that most of the studies used asthma biosignal factors only for prediction, few of the studies used environmental factors, and limited studies used both of these factors. Fifteen different asthma attack predictive models were selected for this review. we found that most of the studies used traditional prediction methods, like Support Vector Machine and regression. We have identified the pros and cons of the reviewed asthma attack prediction models and propose solutions to advance the studies in this field.Conclusion: Asthma attack predictive models become more significant when using both patient's biosignal and environmental factors. There is a lack of utilizing advanced machine learning methods, like deep learning techniques. Besides, there is a need to build smart healthcare systems that provide patients with decision-making systems to identify risk and visualize high-risk regions.

Design and development of the content of a mobile application to reduce risk factors for metabolic syndrome in the climacteric

Maturitas ◽  
2021 ◽  
Vol 152 ◽  
pp. 67-68
Author(s):  
Sandra Riofrío Terrazas ◽  
Alide Salazar Molina ◽  
Vivian Vílchez Barboza ◽  
María López Izurieta
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Mobile Application ◽  
Design And Development ◽  
Reduce Risk

scholarly journals Erratum to: Feasibility of Using a Mobile Application for the Monitoring and Management of Stroke-Associated Risk Factors

2015 ◽  
Vol 11 (3) ◽  
pp. 295
Author(s):  
Woo-Keun Seo ◽  
Jaewoo Kang ◽  
Minji Jeon ◽  
Kyubum Lee ◽  
Sunwon Lee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mobile Application ◽  
Associated Risk Factors

scholarly journals Estimation of risk factors affecting patients associated with bronchial asthma in Basrah, southern Iraq: Case-control observational study.

2021 ◽  
Vol 4 (1) ◽  
pp. 1146-1150
Author(s):  
Ihsan Edan Alsaimary ◽  
Falih Hmood Mezban
Keyword(s):  
Risk Factors ◽  
Rural Areas ◽  
Urban Areas ◽  
Positive Family History ◽  
Factors Affecting ◽  
Asthmatic Patients ◽  
Asthma Attack ◽  
Animal Contact ◽  
Group Population ◽  
Southern Iraq

This study aimed to describe some of the risk factors  of asthma in Basra south in Iraq; The study showed that (3,5) age group population were more affected with asthma (27.9%) and the Females were more affected than males in group 2,3and 5 (6.4%,15.7% and 14.7%)respectively compared to( 4.9%, 12.3% and 13.2) .In same group of male. While There were (68.6%) of patients came from urban areas in comparison to (31.4%) of cases who came from rural areas. The Smoking patients with positive (43.1%). and well patients with animal contact positive their proportion was while (49%). Seasonal asthma attack in male (23.5%) more than female (20.6%) the perennial asthma attach was recorded in male (29%) more than female (26.9%) in this study show Asthmatic patients with other allergy about (15.7%) and with chronic diseases (31.9%). The percentage of patients with positive family history were 39.2% of the cases.

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