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Related Concept Videos

Menopause01:28

Menopause

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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

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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...
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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...
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An In Vivo Estrogen Deficiency Mouse Model for Screening Exogenous Estrogen Treatments of Cardiovascular Dysfunction After Menopause
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Bridging information gaps in menopause status classification through natural language processing.

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
Summary
This summary is machine-generated.

Natural language processing (NLP) of clinical notes significantly enhances electronic health record (EHR) data for classifying menopausal status. This approach increases patient classification by 118%, improving health outcome assessments.

Keywords:
menopausenatural language processingphenotypingwomen’s health

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Area of Science:

  • Medical Informatics
  • Clinical Data Analysis
  • Natural Language Processing

Background:

  • Electronic Health Records (EHRs) contain structured data but often lack comprehensive clinical information.
  • Classifying menopausal status is crucial for understanding women's health outcomes.
  • Existing methods for menopausal status classification using structured EHR data are limited.

Purpose of the Study:

  • To augment structured EHR data with natural language processing (NLP) of clinical notes for improved menopausal status classification.
  • To assess the impact of NLP-derived data on the accuracy and completeness of menopausal status classification.

Main Methods:

  • A rule-based NLP system was developed to extract menopause-related information from clinical notes.
  • NLP-derived data was combined with structured EHR data to classify patient menopausal status.
  • The study cohort included 307,512 female Veterans from the US Department of Veterans Affairs (VA).

Main Results:

  • The NLP system achieved 99.6% precision.
  • Incorporating NLP-derived data increased the number of patients with relevant menopausal status data by 118%.
  • Patient classification for menopausal status increased from 27.0% to 54.6% with NLP integration, with a 532.7% growth in the premenopausal category.

Conclusions:

  • NLP effectively identifies key menopausal status concepts within clinical notes.
  • Augmenting EHR data with NLP significantly increases the number of classifiable patients.
  • This enhanced classification enables more detailed assessments of menopause's impact on health outcomes.