个性化医疗时代甲状腺功能亢进优化治疗患者数据

数据集获取（Figshare）

• 源站标题：Copy of patient data.xlsx from Hyperthyroidism in the personalized medicine era: the rise of mathematical optimization
• DOI：10.6084/m9.figshare.8229239.v1
• 发布日期：2019-06-05
• 文件数：1 个
• 文件总体积：17.96 KB
• 源站页面：https://rs.figshare.com/articles/dataset/Copy_of_patient_data_xlsx_from_Hyperthyroidism_in_the_personalized_medicine_era_the_rise_of_mathematical_optimization/8229239

命令行下载

curl -L -o "rsif20190083_si_001.xlsx" "https://ndownloader.figshare.com/files/15340331"

文件清单

• rsif20190083_si_001.xlsx（17.96 KB）

文件总体积 17.96 KB（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

Thyroid over-activity or hyperthyroidism constitutes a significant morbidity afflicting the world. The current medical practice of dose titration of anti-thyroid drug (ATD) treatment for hyperthyroidism is relatively archaic, being based on arbitrary and time-consuming trending of thyroid function that requires multiple clinic monitoring visits before an optimal dose is found. This prompts a re-examination into more deterministic and efficient treatment approaches in the present personalized medicine era. Our research project seeks to develop a personalized medicine model that facilitates optimal drug dosing via the titration regimen. We analysed 49 patients’’ data consisting of drug dosage, time period and serum free thyroxine (FT4). Ordinary differential equation modelling was applied to describe the dynamic behaviour of FT4 concentration. With each patient’‘s data, an optimization model was developed to determine parameters of synthesis rate, decay rate and IC50. We derived the closed-form time- and dose-dependent solution which allowed explicit estimates of personalized predicted FT4. Our equation system involving time, drug dosage and FT4 can be solved for any variable provided the values of the other two are known. Compared against actual FT4 data within a tolerance, we demonstrated the feasibility of predicting the FT4 subsequent to any prescribed dose of ATD with favourable accuracy using the initial three to five patient-visits’’ data respectively. This proposed mathematical model may assist clinicians in rapid determination of optimal ATD doses within allowable prescription limits to achieve any desired FT4 within a specified treatment period to accelerate the attainment of euthyroid targets.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.8229239.v1（source: https://rs.figshare.com/articles/dataset/Copy_of_patient_data_xlsx_from_Hyperthyroidism_in_the_personalized_medicine_era_the_rise_of_mathematical_optimization/8229239）。