医疗保健应用中的生物医学时间数据的预测建模:审查和未来方向
Abhidnya Patharkar1,2, Fulin Cai1,2, Firas Al-Hindawi1,2
1School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, United States.
Frontiers in physiology
|October 30, 2024
概括
本综述强调了临床时间序列预测的挑战,例如缺失的数据和时间模式. 它探讨了统计,机器学习和深度学习模型,以改善医疗预测.
科学领域:
- 生物医学数据分析
- 医疗保健中的人工智能
背景情况:
- 临床时间序列数据带来了独特的预测挑战,包括由于缺失值而导致的不规则数据.
- 准确的预测需要捕捉多维相关性和理解时间结构 (短期和长期模式).
- 多步预测对于早期发现疾病和个性化医疗保健至关重要.
研究的目的:
- 审查能够解决临床时间序列数据挑战的预测模型.
- 讨论统计,机器学习和深度学习模型对于医疗预测的适用性.
- 探索减轻模型限制的技术,集合方法和层次模型.
主要方法:
- 统计,机器学习和深度学习时间序列模型的审查.
- 讨论提高模型适合临床预测的技术.
- 探索集体和层次预测方法.
主要成果:
- 确定了临床时间序列预测建模中的关键挑战.
- 评估了各种时间序列模型在应对这些挑战方面的能力.
- 讨论了模型改进和整合的方法,包括集体和层次方法.
结论:
- 有效的临床预测需要处理缺失数据,多维相关性和复杂的时间动态的模型.
- 一系列模型,包括统计,机器学习和深度学习,提供了潜在的解决方案.
- 未来的研究应该专注于克服将人工智能应用于生物医学数据的障碍,以改善医疗保健结果.
相关概念视频
Issues And Trends In Healthcare Delivery System
5.6K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K
Introduction To Survival Analysis
184
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
184
Current Trends in Nursing II
1.2K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.2K
Health Information Technology and Healthcare Information System
805
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
805
Methods of Documentation VI: Case Management Model
559
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
For example, a patient with a chronic...
559
Overview of Biostatistics in Health Sciences
349
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
349


