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All Journal Journal Of Nursing Practice International Journal of Public Health Excellence (IJPHE)
Asbath
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Health Professions Medicine & Pharmacology Nursing Public Health

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Risk Factors of Death in the Decision to Install Artificial Intelligence Systems in the Management of Diabetes Asbath; Kusumawati, Prima Dewi; Weraman, Pius; Sabrifha, Eli; Fauzi, Ahmad Zil
International Journal of Public Health Excellence (IJPHE) Vol. 4 No. 1 (2024): June-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijphe.v4i1.906

Abstract

Diabetes represents a significant public health concern, affecting millions of individuals worldwide. Its prevalence is increasing, driven in part by lifestyle factors and the aging of the global population. This systematic review explores the potential of artificial intelligence (AI) in enhancing diabetes prevention, diagnosis, and management. The review highlights the promise of personalized and proactive healthcare enabled through AI. The research methodology employed an exhaustive review of the literature, the formulation of specific inclusion and exclusion criteria, a data extraction process from selected studies that focused on the role of AI in diabetes, and a comprehensive analysis to identify the specific domains and functions in which AI makes a significant contribution. The results of the conducted literature review indicate that artificial intelligence (AI) can be regarded as a transformative force in the following eight key areas within the field of diabetes care: 1) Management and Care of Diabetes, 2) Diagnostic and Imaging Technologies, 3) Health Monitoring Systems, 4) Development of Predictive Models, 5) Public Health Interventions, 6) Lifestyle and Dietary Management, 7) Enhancement of Clinical Decision Making, and 8) Engagement and Self-Management of Patients. Additionally, the utilization of AI may result in a reduction in the risk of mortality from diabetes.
Risk Factors of Death in the Decision to Install Artificial Intelligence Systems in the Management of Diabetes Asbath; Kusumawati, Prima Dewi; Weraman, Pius; Sabrifha, Eli; Fauzi, Ahmad Zil
International Journal of Public Health Excellence (IJPHE) Vol. 4 No. 1 (2024): June-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijphe.v4i1.906

Abstract

Diabetes represents a significant public health concern, affecting millions of individuals worldwide. Its prevalence is increasing, driven in part by lifestyle factors and the aging of the global population. This systematic review explores the potential of artificial intelligence (AI) in enhancing diabetes prevention, diagnosis, and management. The review highlights the promise of personalized and proactive healthcare enabled through AI. The research methodology employed an exhaustive review of the literature, the formulation of specific inclusion and exclusion criteria, a data extraction process from selected studies that focused on the role of AI in diabetes, and a comprehensive analysis to identify the specific domains and functions in which AI makes a significant contribution. The results of the conducted literature review indicate that artificial intelligence (AI) can be regarded as a transformative force in the following eight key areas within the field of diabetes care: 1) Management and Care of Diabetes, 2) Diagnostic and Imaging Technologies, 3) Health Monitoring Systems, 4) Development of Predictive Models, 5) Public Health Interventions, 6) Lifestyle and Dietary Management, 7) Enhancement of Clinical Decision Making, and 8) Engagement and Self-Management of Patients. Additionally, the utilization of AI may result in a reduction in the risk of mortality from diabetes.
Different Types of Intermittent Fasting for Glucosa Index Control in Diabetics: A Systematic Review Asbath; Faridah Mohd Said
Journal Of Nursing Practice Vol. 7 No. 2 (2024): April
Publisher : Universitas STRADA Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30994/jnp.v7i2.504

Abstract

Background: The glucose index is an important parameter in diabetes management and general health. Intermittent fasting has become an interesting research topic in an attempt to control glucose index. This study Glucose index is an important parameter in diabetes management and general health. Intermittent fasting has become an interesting research topic in an attempt to control glucose index. Purpose: This study aims to conduct a systematic review of the different types of intermittent fasting and their impact on glucose index control. Method: The research method used was a thorough literature search in scientific databases such as PubMed, Google Scholar, and ScienceDirect for articles investigating different types of intermittent fasting in the context of glucose index control. We evaluated these articles based on their methodological quality and identified key findings. Results: The results of this systematic review showed that different types of intermittent fasting, including 16/8 fasting, 5:2 fasting, daily fasting, and full-day fasting, have varying impacts on glucose index control. Some studies showed significant reductions in fasting blood glucose levels, improved insulin sensitivity, and decreased insulin resistance. However, the results may vary depending on the duration of fasting, the type of food consumed during the feeding period, and individual characteristics. Conclusion: suggests that intermittent fasting could be a potentially effective strategy in glucose index control. However, more studies need to be conducted to better understand which type of intermittent fasting is most effective and safe for individuals with various health conditions.
Co-Authors Faridah Mohd Said Fauzi, Ahmad Zil Prima Dewi Kusumawati Sabrifha, Eli Weraman, Pius