Design of a Mobile Application to Improve the Lifestyle of Patients with Diabetes

Ayala, Ricardo Leon; Cosi, Sebastian Ramos

doi:10.3991/ijim.v17i05.37441

Cited by 4 publications

(4 citation statements)

References 23 publications

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“…The process of analyzing user requirements in Scrum is carried out at the beginning, taking input from the end user to initiate the Scrum process. Scrum is the most suitable method for developing chatbots because of its constant meetings that actively involve the team in the project [25]. The Scrum process involves three stages: pregame, game, and postgame.…”

Section: Methodsmentioning

confidence: 99%

Artificial Intelligence-Based Chatbot to Support Public Health Services in Indonesia

Setiawan,

Iskandar,

Madjid

et al. 2023

Int. J. Interact. Mob. Technol.

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The aim of this study is to build an artificial intelligence chatbot application to support public health services. The chatbot acts as an information service that can replace the role of humans. The analysis of functional needs was obtained from information submitted by one of the heads of public health centers in Indonesia. This study uses the Scrum method with pregame stages to produce a plan consisting of functional and non-functional requirements analysis and conceptual design of the chatbot, which will be developed using Unified Modeling Language (UML) diagrams. The process of finding answers uses the matching graph master technique, which is a backtrack matching that utilizes a depth-first search strategy. There are 6 topics of chatbot services, including service schedules, health information, registration, diseases, drugs, and early care services for chatbot users. Tests conducted on these 6 topics showed an average correct answer ratio of 93.1% out of a total of 251 questions. The result of the usability measurement on the chatbot application that has been built obtained a system usability scale value of 80.1, indicating that the developed chatbots are acceptable for use.

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Section: Methodsmentioning

confidence: 99%

Artificial Intelligence-Based Chatbot to Support Public Health Services in Indonesia

Setiawan,

Iskandar,

Madjid

et al. 2023

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

show abstract

“…The central tendency measures include the median, mode, and mean, while measures of variability include variance, skewness, standard deviation, minimum, maximum, and kurtosis. This analysis measures the mean, standard deviation, range, skewness, kurtosis, mode, variance, minimum and maximum values, and median [32].…”

Section: Data Organization and Analysismentioning

confidence: 99%

Assessing Subjective Visual Vertical Reliability: A Comparison of the “Bucket Test,” a Mobile App, and a Virtual System

Waly,

Alshammari,

Alshammari

et al. 2024

Int. J. Onl. Eng.

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The subjective visual vertical (SVV) is a potential indicator of vestibular dysfunction as it assesses an individual’s perception of a vertical line. Despite this, and as a result of specific logistical impediments, SVV has not entered standard clinical practice. Dizziness is the third most common clinical complaint by patients (20%) in outpatient offices. It adversely affects the patient’s life and is often accompanied by intensive healthcare. This study aims to determine whether the bucket test and mobile phone app are as reliable as the Virtual SVV system in assessing the SVV. This study involves four types of investigation to determine the relationship or difference among three tests, including their performance comparison, descriptive analysis, one-way ANOVA test, receiver operating characteristic (ROC) curve, and correlation analysis. After organizing the raw data from 207 healthy volunteer participants for 8 trials, it was found that 59% were female and 41% were male. The data was analyzed utilizing the SPSS program. The test performance is measured using the ROC curve, and the results indicate that the bucket with the highest ROC coefficient is 0.72.

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“…Approximately 52% of adults worldwide grapple with these issues [6]. In recent years, global cases of overweight and obesity have tripled, signaling a worrying trend linked to chronic diseases, including Diabetes Mellitus II, cardiovascular disorders, and musculoskeletal problems [6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Observational Quantitative Study of Healthy Lifestyles and Nutritional Status in Firefighters of the fifth Command of Callao, Ventanilla 2023

Perez-Olivos,

Garcia-Carhuapoma,

Gurreonero-Seguro

et al. 2024

IJACSA

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Given the high concern for human health, the aim is to determine the relationship between healthy lifestyles and nutritional status among firefighters of the VCD Callao Ventanilla 2023. This study was conducted in four volunteer fire companies, namely B-75, B-184, B-207, B-232, located in the districts of Ventanilla and Mi Perú. The population consists of 291 personnel, with a sample of 168 participants. It was observed that 58.9% (99) of the participants are under 36 years old, 29.8% (50) are between 36 and 45 years old, and 11.3% (19) are 46 years or older. In terms of gender, 62.5% (105) are males. Regarding the duration of their firefighting service, 70.2% (118) have a maximum of 10 years of seniority. On the other hand, 57.7% (97) of the participants have an unhealthy lifestyle, 40.5% (68) have a healthy lifestyle, and 1.8% (3) have a very healthy lifestyle. Regarding the nutritional status of the firefighters in this study, it was found that 53.3% (89) are overweight, 26.8% are considered normal weight, 19.6% (33) are obese, and 0.6% (1) are underweight. Concerning lifestyles, the study revealed that 57.7% of the participants have an unhealthy lifestyle, 40.5% have a healthy lifestyle, and 1.8% ( 3) have a very healthy lifestyle. It is worth mentioning that according to Rodríguez C's study, 95.2% of volunteers belonging to the B107 Fire Company lead a healthy lifestyle, while 4.8% do not. Statistically, we can assert that there is no significant relationship between the variable of healthy lifestyles and nutritional status. However, it is observed that there is a direct relationship between nutritional status and age. Likewise, it can be affirmed that more than at least 72.9% of the studied population is overweight, either with overweight or obesity.

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Design of a Mobile Application to Improve the Lifestyle of Patients with Diabetes

Cited by 4 publications

References 23 publications

Artificial Intelligence-Based Chatbot to Support Public Health Services in Indonesia

Artificial Intelligence-Based Chatbot to Support Public Health Services in Indonesia

Assessing Subjective Visual Vertical Reliability: A Comparison of the “Bucket Test,” a Mobile App, and a Virtual System

Observational Quantitative Study of Healthy Lifestyles and Nutritional Status in Firefighters of the fifth Command of Callao, Ventanilla 2023

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