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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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Data Collection by Survey01:07

Data Collection by Survey

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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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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Nursing Evaluation01:15

Nursing Evaluation

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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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Purpose of Health Records I01:11

Purpose of Health Records I

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The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
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SBAR II: Application of SBAR01:14

SBAR II: Application of SBAR

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SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
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相关实验视频

Updated: Jul 5, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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使用推特数据分析患者对医疗服务的满意度.

Muhammad Usman1, Muhammad Mujahid1, Furqan Rustam2

  • 1Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.

PeerJ. Computer science
|January 23, 2024
PubMed
概括

根据对推特数据的分析,公众对医疗保健服务的情绪主要是积极的. 一个新的转移学习模型在情绪分类中实现了0.95准确度,超过了传统的机器学习方法,提高了医疗保健质量.

关键词:
功能选择 功能选择医疗保健 医疗保健 医疗保健 医疗保健机器学习 机器学习患者的满意度 患者的满意度

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科学领域:

  • 医疗信息学 医疗信息学
  • 计算社会科学 计算社会科学
  • 自然语言处理自然语言处理.

背景情况:

  • 由于COVID-19,公众对卫生系统的担忧急剧增加.
  • 像Twitter这样的社交媒体平台对于医疗保健的实时公众论至关重要.
  • 现有使用机器学习 (ML) 和深度学习 (DL) 进行医疗保健推文情绪分析的研究表明其准确性和验证性有限.

研究的目的:

  • 通过使用Twitter数据来确定全球公众对医疗服务的情绪.
  • 评估各种ML和DL模型对医疗保健相关推特的情感分类的有效性.
  • 引入和验证一种基于转移学习的新型模型,用于增强情绪分析.

主要方法:

  • 采集了使用标签#医疗保健,#医疗保健服务和#医疗设施的推文.
  • 进行了情绪分析,考虑了位置和推特内容.
  • 评估了多个ML模型 (SVM,物流回归,天真贝叶斯,ETC,KNN,随机森林,决策树,AdaBoost) 和一个拟议的LSTM-ETC模型.

主要成果:

  • 额外树分类器 (ETC) 模型实现了0.88.8的准确性.
  • 提出的基于转移学习的LSTM-ETC模型表现出卓越的性能,准确度为0.95.
  • 分析显示,公众对医疗保健服务的情绪主要是积极的,比负面的推文要积极得多.

结论:

  • 拟议的LSTM-ETC模型为医疗保健推特情绪分类提供了一个高度有效的方法.
  • 社交媒体,特别是推特上的公众反为改善医疗保健质量提供了宝贵的见解.
  • 积极的公众情绪表明总体满意度,这对于医疗保健的战略决策至关重要.