甲状腺功能减退最优激素替代疗法——模型预测控制方法的数据表

包含甲状腺功能减退症最优激素替代疗法的模型预测控制研究数据,比较单药与联合治疗并考虑基因型影响,以表格形式呈现。

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表格mathematical modelingautomatic controlmodel predictive controlthyroid homeostasiscombined therapymonotherapy
DataSheet_1: Optimal Hormone Replacement Therapy in Hypothyroidism - A Model Predictive Control Approach

基本信息

模态
表格
大小
0.001576268 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

甲状腺功能减退最优激素替代疗法——模型预测控制方法的数据表

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 1.58 MB,主题涵盖 mathematical modeling、automatic control、model predictive control、thyroid homeostasis、combined therapy,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《DataSheet_1_Optimal Hormone Replacement Therapy in Hypothyroidism - A Model Predictive Control Approach.pdf》。配套论文《Thyroid Hormone Replacement Therapy in Primary Hypothyroidism: A Randomized Trial Comparing <scp>l</scp>-Thyroxine plus Liothyronine with <scp>l</scp>-Thyroxine Alone》发表于 Annals of Internal Medicine(2005),DOI:10.7326/0003-4819-142-6-200503150-00007。源站首次发布:2022-06-24。

【数据内容】

源站原始描述:In this paper, we address the problem of optimal thyroid hormone replacement strategy development for hypothyroid patients. This is challenging for the following reasons. First, it is difficult to determine the correct dosage leading to normalized serum thyroid hormone concentrations of a patient. Second, it remains unclear whether a levothyroxine L-T4) monotherapy or a liothyronine/levothyroxine (L-T3/L-T4) combined therapy is more suitable to treat hypothyroidism. Third, the optimal intake fre…

【数据结构与技术规格】

文件数 1 个,合计 1.58 MB。DataSheet_1_Optimal Hormone Replacement Therapy in Hypothyroidism - A Model Predictive Control Approach.pdf:application/pdf,1.58 MB。数据集 DOI:10.3389/fendo.2022.884018.s001。

【主题与分类】

源站学科分类:Reproduction、Cell Metabolism、Endocrinology。主题标签:mathematical modeling、automatic control、model predictive control、thyroid homeostasis、combined therapy、monotherapy。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Optimal_Hormone_Replacement_Therapy_in_Hypothyroidism_-_A_Model_Predictive_Control_Approach_pdf/20140703

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Wolff, Tobias M.; Dietrich, Johannes W.; Müller, Matthias A. (2022). DataSheet_1_Optimal Hormone Replacement Therapy in Hypothyroidism - A Model Predictive Control Approach.pdf. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-05-31,引用时请注意版本时效。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "DataSheet_1_Optimal Hormone Replacement Therapy in Hypothyroidism - A Model Predictive Control Approach.pdf" "https://ndownloader.figshare.com/files/36020228"

文件清单

  • DataSheet_1_Optimal Hormone Replacement Therapy in Hypothyroidism - A Model Predictive Control Approach.pdf(1.58 MB)

文件总体积 1.58 MB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

In this paper, we address the problem of optimal thyroid hormone replacement strategy development for hypothyroid patients. This is challenging for the following reasons. First, it is difficult to determine the correct dosage leading to normalized serum thyroid hormone concentrations of a patient. Second, it remains unclear whether a levothyroxine L-T4) monotherapy or a liothyronine/levothyroxine (L-T3/L-T4) combined therapy is more suitable to treat hypothyroidism. Third, the optimal intake frequency of L-T3/L-T4 is unclear. We address these issues by extending a mathematical model of the pituitary-thyroid feedback loop to be able to consider an oral intake of L-T3/L-T4. A model predictive controller (MPC) is employed to determine optimal dosages with respect to the thyroid hormone concentrations for each type of therapy. The results indicate that the L-T3/L-T4 combined therapy is slightly better (in terms of the achieved hormone concentrations) to treat hypothyroidism than the L-T4 monotherapy. In case of a specific genetic variant, namely genotype CC in polymorphism rs2235544 of gene DIO1, the simulation results suggest that the L-T4 monotherapy is better to treat hypothyroidism. In turn, when genotype AA is considered, the L-T3/L-T4 combined therapy is better to treat hypothyroidism. Furthermore, when genotype CC of polymorphism rs225014 (also referred to as c.274A>G or p.Thr92Ala) in the DIO2 gene is considered, the outcome of the L-T3/L-T4 combined therapy is better in terms of the steady-state hormone concentrations (for a triiodothyronine setpoint at the upper limit of the reference range of healthy individuals). Finally, the results suggest that two daily intakes of L-T3 could be the best trade-off between stable hormone concentrations and inconveniences for the patient.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fendo.2022.884018.s001(source: https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Optimal_Hormone_Replacement_Therapy_in_Hypothyroidism_-_A_Model_Predictive_Control_Approach_pdf/20140703)。

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