Industry

• Professional, scientific and technical services (M category)
• Other professional, scientific and technical services (76Medium category)

Industrial Pain Points

• Measurement methods and accuracyNeed to be improved: Determine muscle decline risk assessment indicators suitable for the elderly and develop reliable measurement methods, which involves selecting appropriate measurement tools and determining standardized testing procedures and to evaluate the accuracy and reliability of measurement results.
• DataThe collection and analysis methods are complex: large-scale data on the elderly population needs to be collected, including personal physiological indicators, lifestyle, disease history and other related information. Then, effective data analysis methods need to be developed to detect patterns and factors associated with the risk of muscle decline.
• Prediction and intervention strategies need to be verified: Based on the collected data and analysis results, develop a model that can accurately predict the risk of muscle decline in elderly people. At the same time, researchers also need to evaluate and develop effective intervention strategies, including exercise, nutritional supplements, drug treatments, etc., to slow down or prevent muscle decline.
• Individual differences and high impact of multiple factors: The risk of muscle decline in advanced age is a complex issue that is affected by multiple factors, such as genetics, lifestyle, disease status, etc. Therefore, individual differences and multifactorial interactions need to be studied to better understand and explain the mechanisms underlying muscle decline risk.
• Practical application and dissemination are slow: Applying risk assessment of muscle decline in older age in clinical and community settings and ensuring its feasibility, validity and acceptability may involve training health professionals, developing appropriate guidelines and policies, providing appropriate health education, etc.

Import AI benefits

• Improving assessment accuracy: Artificial intelligence can be combined with huge amounts of data (Big Data) analysis to quickly and accurately assess Risk of muscle decline in older individuals. Artificial intelligence can also automatically learn and extract key features to more accurately predict risk levels.
• Personalized health management: Artificial intelligence can provide personalized health management based on individual risk assessment results, personal characteristics and needs, such as formulating appropriate exercise, nutrition or treatment plans to delay muscle decline. development of.
• Improve efficiency and save costs: Artificial intelligence can automate and accelerate the risk assessment process, reducing manual operations and time costs. At the same time, artificial intelligence can also predict and analyze based on large amounts of data, provide faster results and accurate suggestions, and help improve the utilization efficiency of medical resources and save costs.

Common AI technologies or applications

• Random Forest (Random Forest): Data related to muscle decline in old age includes age, exercise habits, diet, and medical records. There may be non-linear relationships among variables. , using artificial intelligence such as random forest algorithm than support vector machine (Support Vector Machine; abbreviationSVM) or Multilayer Perceptron (Multilayer Perceptron; abbreviationMLP) is used to optimize the parameters and The weight is more appropriate.
• Recurrent Neural NetworksRecurrent Neural Networks; abbreviationRNN): using artificial intelligence Circulating neural networks, combined with IoT devices, monitor the muscle activity, sports performance and physical status of elderly people, and provide personalized risk assessment and health management recommendations.
• QLearning (Q-Learning): Using artificial intelligence to strengthen learning (Reinforcement Learning ) Such as Q learning algorithm, through interaction and feedback with elderly people, the system can learn which exercise methods or rehabilitation activities are best for specific individuals. Be effective and adjust health management plans over time and feedback.

「Translated content is generated by ChatGPT and is for reference only. Translation date：2024-05-19」