使用模糊的Delphi方法验证个性化AI提示生成器 (NExGEN-ChatGPT) 用于肥胖管理
Azwa Suraya Mohd Dan1, Adam Linoby1, Sazzli Shahlan Kasim2
1Faculty of Sports Science and Recreation, Universiti Teknologi MARA, Seremban Campus, Negeri Sembilan Branch, Negeri Sembilan, Malaysia.
Biology methods & protocols
|December 1, 2025
概括
人工智能 (AI) 可以个性化肥胖管理,但需要高质量的提示. 这项研究验证了人工智能生成的饮食和运动计划的111个标准,确保了安全性和有效性.
科学领域:
- 人工智能在健康中的作用
- 肥胖管理 肥胖管理
- 个性化的营养和运动
背景情况:
- 人工智能 (AI) 显示了个性化肥胖管理的前景.
- 人工智能建议的有效性取决于输入质量和结构化的指导.
- 缺乏用于肥胖生活方式规划的验证的提示生成机制.
研究的目的:
- 评估和完善一个人工智能驱动的框架 (NExGEN-ChatGPT) 用于个性化的饮食和运动处方在肥胖的成年人.
- 建立专家的共识,对人工智能产生的肥胖管理计划的标准,使用模糊的德尔菲方法 (FDM).
主要方法:
- 一个多学科专家小组 (21名专业人士) 使用结构化问卷.
- 专家评估和完善了人工智能驱动的肥胖管理的构造和元素.
- 为了达到专家的共识,使用了模糊的德尔菲方法 (FDM).
主要成果:
- 在基于AI的肥胖干预措施的111个具体标准上达成共识.
- 确定了针对个性化,安全和可行的AI建议的关键标准.
- 优先考虑的标准对于实际相关性,安全性和质量至关重要.
结论:
- 经过验证的框架为AI增强的肥胖干预提供了基础.
- 提高生活方式计划的有效性,可扩展性和个性化.
- 支持现实世界的应用和人工智能对肥胖管理的未来研究.
相关概念视频
Decision Making: P-value Method
6.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
6.8K
Obesity
1.1K
The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
1.1K
Drug Dosing: Obese Patients
202
In the United States, obesity is a prominent concern. It is linked to heightened mortality rates due to increased occurrences of conditions such as hypertension, atherosclerosis, coronary artery disease, and diabetes compared to nonobese individuals. A patient is classified as obese if their actual body weight surpasses the ideal or desirable body weight by 20%, based on Metropolitan Life Insurance Company data. Ideal body weights consider average weights and heights for males and females...
202
Combination Therapies and Personalized Medicine
5.9K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
5.9K
Assessment of the Gastrointestinal System II: Health Perception Pattern
434
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
434

