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相关概念视频

Menopause01:28

Menopause

158
Menopause, a natural biological process marking the end of a woman's fertility, typically occurs between the fifth and sixth decade of life. This phase is characterized by the exhaustion of the ovarian follicle pool, leading to less responsive ovaries despite the high levels of Follicle Stimulating Hormone (FSH) and Luteinizing Hormone (LH). The consequential decrease in estrogen production results in symptoms like hot flashes, heavy sweating, headaches, hair loss, muscle pains, vaginal...
158
Hormonal Regulation of the Menstrual Cycle01:22

Hormonal Regulation of the Menstrual Cycle

369
The ovarian cycle regulates endometrial changes throughout a single menstrual cycle via the coordinated action of gonadotrophin-releasing hormone (GnRH) and gonadotrophins.
At puberty, GnRH begins a pulsatile release pattern, which triggers the anterior pituitary gland to secrete follicle-stimulating hormone (FSH) and luteinizing hormone (LH). The frequency and amplitude of GnRH pulses vary across the menstrual cycle, with faster pulses favoring LH release and slower pulses favoring FSH...
369
Menses Phase01:18

Menses Phase

264
The uterine cycle begins with the menstrual phase, which is considered day one of the cycle and typically lasts about five days. This phase is characterized by the degeneration and shedding of the stratum functionalis, the functional layer of the endometrium.
When fertilization does not occur, the corpus luteum deteriorates, causing a significant drop in the levels of estrogen and progesterone in the body. This hormonal decrease triggers the release of prostaglandins, which cause the uterine...
264
Hormonal Regulation of Blood Pressure01:17

Hormonal Regulation of Blood Pressure

2.6K
Endocrinal or hormonal intervention in the cardiovascular system is predominantly exerted by the catecholamines - epinephrine and norepinephrine, as well as a slew of hormones that interact with renal function to modulate blood volume.
Epinephrine and Norepinephrine
The adrenal medulla releases epinephrine and norepinephrine, catecholamines that enhance and extend the sympathetic or "fight or flight" physiological response. These hormones escalate heart rate and the force of contraction...
2.6K
The Menstrual Cycle01:19

The Menstrual Cycle

815
The menstrual cycle is a recurrent sequence of changes in the uterine endometrium, specifically its functional layer, the stratum functionalis. This cycle prepares the uterus for potential pregnancy. This cycle typically spans 21–35 days, averaging 28 days, and aligns with the ovarian cycle, regulated by fluctuating levels of ovarian hormones, primarily estrogen and progesterone.
The menstrual phase occurs from days 1 to 5 and involves the shedding of the stratum functionalis, as a...
815
Classification of Illness01:17

Classification of Illness

7.5K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
7.5K

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相关实验视频

Updated: Jul 2, 2025

An In Vivo Estrogen Deficiency Mouse Model for Screening Exogenous Estrogen Treatments of Cardiovascular Dysfunction After Menopause
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通过自然语言处理弥合更年期状态分类中的信息差距.

Hannah Eyre1,2, Patrick R Alba1,2, Carolyn J Gibson3,4

  • 1VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT 84113, United States.

JAMIA open
|February 29, 2024
PubMed
概括

临床笔记的自然语言处理 (NLP) 显著增强了电子健康记录 (EHR) 数据,用于分类更年期状态. 这种方法使患者的分类增加了118%,改善了健康结果评估.

关键词:
更年期 绝经 绝经自然语言处理自然语言处理.现型定制 现型定制 现型定制妇女的健康妇女的健康

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科学领域:

  • 医疗信息学 医疗信息学
  • 临床数据分析 临床数据分析
  • 自然语言处理自然语言处理.

背景情况:

  • 电子健康记录 (EHR) 包含结构化数据,但往往缺乏全面的临床信息.
  • 分类更年期状态对于了解女性健康结果至关重要.
  • 使用结构化电子健康记录数据进行更年期状态分类的现有方法有限.

研究的目的:

  • 用临床笔记的自然语言处理 (NLP) 来增强结构化EHR数据,以改进更年期状态分类.
  • 评估NLP衍生数据对更年期状态分类的准确性和完整性的影响.

主要方法:

  • 开发了一个基于规则的NLP系统,从临床笔记中提取与更年期相关的信息.
  • 从NLP获得的数据与结构化的EHR数据相结合,以分类患者的更年期状态.
  • 研究队列包括来自美国退伍军人事务部 (VA) 的307,512名女性退伍军人.

主要成果:

  • 该NLP系统实现了99.6%的精度.
  • 纳入NLP衍生数据将相关更年期状态数据的患者数量增加了118%.
  • 随着NLP的整合,更年期状态的患者分类从27.0%增加到54.6%,在更年期前的类别中增长了532.7%.

结论:

  • 在临床笔记中,NLP有效地识别了关键的更年期状态概念.
  • 通过NLP增加EHR数据显著增加了可分类患者的数量.
  • 这种增强的分类可以更详细地评估更年期对健康结果的影响.