AIMC Topic: Thyrotropin
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An explainable non-invasive hybrid machine learning framework for accurate prediction of thyroid-stimulating hormone levels.
Computers in biology and medicine
Mar 9, 2025
Machine learning models, including thyroid biomarkers, are increasingly utilized in healthcare for biomarker prediction. These models offer the potential to enhance disease diagnosis through data-driven approaches relying on non-invasive techniques. ...
Subclinical/overt hypothyroidism may be associated with diminished ovarian reserve in infertile women independent of thyroid autoimmunity.
Frontiers in endocrinology
Dec 10, 2024
OBJECTIVE: To investigate the association between thyroid dysfunction or thyroid autoimmunity (TAI) and diminished ovarian reserve (DOR).
Interpretable machine learning model predicting immune checkpoint inhibitor-induced hypothyroidism: A retrospective cohort study.
Cancer science
Sep 23, 2024
Hypothyroidism is a known adverse event associated with the use of immune checkpoint inhibitors (ICIs) in cancer treatment. This study aimed to develop an interpretable machine learning (ML) model for individualized prediction of hypothyroidism in pa...
An Evaluation of the Efficacy of Machine Learning in Predicting Thyrotoxicosis and Hypothyroidism: A Comparative Assessment of Biochemical Test Parameters Used in Different Health Checkups.
Internal medicine (Tokyo, Japan)
Jan 2, 2024
Objective This study assessed the efficacy of machine learning in predicting thyrotoxicosis and hypothyroidism [thyroid-stimulating hormone >10.0 mIU/L] by leveraging age and sex as variables and integrating biochemical test parameters used by the Ja...
A novel machine learning model for predicting clinical pregnancy after laparoscopic tubal anastomosis.
BMC pregnancy and childbirth
Jul 24, 2023
BACKGROUND: Laparoscopic tubal anastomosis (LTA) is a treatment for women who require reproduction after ligation, and there are no reliable prediction models or clinically useful tools for predicting clinical pregnancy in women who receive this proc...
Computational model of the full-length TSH receptor.
eLife
Oct 28, 2022
(GPCR)The receptor for TSH receptor (TSHR), a G protein coupled receptor (GPCR), is of particular interest as the primary antigen in autoimmune hyperthyroidism (Graves' disease) caused by stimulating TSHR antibodies. To date, only one domain of the e...
Analysis of epidemiological association patterns of serum thyrotropin by combining random forests and Bayesian networks.
PloS one
Jul 21, 2022
BACKGROUND: Approaching epidemiological data with flexible machine learning algorithms is of great value for understanding disease-specific association patterns. However, it can be difficult to correctly extract and understand those patterns due to t...
Employing biochemical biomarkers for building decision tree models to predict bipolar disorder from major depressive disorder.
Journal of affective disorders
Apr 16, 2022
BACKGROUND: Conventional biochemical parameters may have predictive values for use in clinical identification between bipolar disorder (BD) and major depressive disorder (MDD).
Quantifying the Impacts of Pre- and Post-Conception TSH Levels on Birth Outcomes: An Examination of Different Machine Learning Models.
Frontiers in endocrinology
Oct 29, 2021
BACKGROUND: While previous studies identified risk factors for diverse pregnancy outcomes, traditional statistical methods had limited ability to quantify their impacts on birth outcomes precisely. We aimed to use a novel approach that applied differ...
Hyperthyroidism treatment by alternative therapies based on cupping and dietary-herbal supplementation: a case report.
Drug metabolism and personalized therapy
Aug 12, 2021
OBJECTIVES: Hyperthyroidism is characterized by increasing production of thyroid hormone (TH) and decreasing of thyroid stimulation hormone (TSH) secretion. The treatment of hyperthyroidism includes such as anti-thyroid drugs, radioiodine, and thyroi...
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