了解癌症护理和预测负担:一种分析和机器学习方法
Armin Abazari1, Samir Chatterjee1, Md Moniruzzaman1
1Innovation Empowerment and Design Application (IDEA) Lab Center for Information Systems & Technology Claremont Graduate University, Claremont, California, USA.
预测癌症护理人员负担对于及时支持至关重要. 机器学习模型准确地识别了关键的风险因素,为面临重大压力的非正式家庭照顾者提供了早期干预.
科学领域:
- 在瘤学瘤学.
- 老年学是一门学科.
- 医疗信息学 医疗信息学
背景情况:
- 非正式的癌症护理人员,通常是家庭成员,面临着相当大的身体,情感和财务负担.
- 护理人员的负担可能会阻碍他们提供足够的病人护理的能力,并影响他们的福祉.
- 对护理人员负担的早期识别和干预对于改善患者和护理人员的结果至关重要.
研究的目的:
- 开发精确的机器学习模型来预测癌症护理人员负担水平.
- 确定与高照顾者负担相关的关键风险因素.
- 促进癌症护理人员开发临床决策支持系统.
主要方法:
- 使用国家护理联盟/AARP数据集进行分析.
- 执行数据清理和归算,以创建一个强大的数据集.
- 采用特征选择技术和监督机器学习分类器用于模型开发.
主要成果:
- 实现了高预测性能,准确度 ≈ 0.94,AUC ≈ 0.97,和 F1 ≈ 0.93.
- 确定了一组简洁的15个特征,强烈预测护理人员负担.
- 验证了机器学习在预测护理人员负担方面的有效性.
结论:
- 机器学习模型在预测癌症护理人员负担方面表现出很高的准确性.
- 一小组预测特征可以为支持性干预措施的开发提供信息.
- 这些发现支持建立临床决策支持系统,以帮助癌症护理人员.
更多相关视频
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
07:15Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
相关概念视频
Cancer Survival Analysis
Combination Therapies and Personalized Medicine
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...
Kaplan-Meier Approach
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
Tumor Progression
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Cancer Therapies
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
