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相关概念视频

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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...
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Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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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...
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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Integrated Healthcare System01:20

Integrated Healthcare System

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An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
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Cardiovascular Drugs: Classification based on Therapeutic Indications01:18

Cardiovascular Drugs: Classification based on Therapeutic Indications

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Cardiovascular diseases, encompassing a range of conditions, can significantly affect the heart's operations and the overall circulatory system. These conditions impair the heart's ability to pump blood, leading to a deficit in oxygen supply to crucial organs. Anomalies in the heart's electrical system, known as arrhythmias, can cause heartbeats to accelerate or slow down. Usually, heart rates increase during physical activity and decrease while resting or sleeping. However,...
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相关实验视频

Updated: Jul 1, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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一个基于机器学习的混合推框架,用于智能医疗系统.

Jianhua Wei1, Honglin Yan2, Xiaoli Shao3

  • 1The Bidding Procurement Office, The First Affiliated Hospital of Xi'an Medical University, Xian, China.

PeerJ. Computer science
|March 4, 2024
PubMed
概括

这项研究引入了智能医疗系统的混合推框架,通过大数据和深度学习来增强医生推和服务评估. 新系统提高了医疗预约平台的准确性和患者医生匹配.

关键词:
大数据就是大数据.深度学习算法深度学习算法医生的建议 医生的建议医疗评估 医疗评估医疗登记 医疗登记

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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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Last Updated: Jul 1, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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科学领域:

  • 医疗信息学 医疗信息学
  • 人工智能的人工智能
  • 大数据分析大数据分析

背景情况:

  • 传统医疗系统在准确的服务评估和个性化的医生建议方面面临挑战.
  • 现有的推系统往往缺乏处理复杂的医疗数据和患者需求的复杂性.

研究的目的:

  • 为智能医疗系统开发混合推框架,以改善服务水平评估和医生建议.
  • 通过先进的AI技术,提高医疗预约平台的准确性和效率.

主要方法:

  • 一个使用大数据和深度学习进行改进的机构评估的注册审查系统.
  • 一个医生推模型,采用术语频率-反向文档频率 (TF-IDF),修改的等号相似性,K-平均集群,交替最小平方 (ALS) 矩阵分解和用户协作过.
  • 构建一个患者的症状向量空间,用于个性化得分计算.

主要成果:

  • 拟议的注册审查系统的准确性比传统的评估方法更高.
  • 与现有方法相比,在医生建议中观察到精度和回忆率的显著改善.
  • 混合框架为部门分拣和医生推提供了一个实际的解决方案.

结论:

  • 混合推框架为智能医疗系统提供了强大而准确的解决方案.
  • 大数据,深度学习和协作过的整合增强了患者的体验,并优化了医疗资源的分配.
  • 这种方法代表了医疗预约平台功能上的重大进步.