Magnetic Hyperthermia Dataset

Hyperthermia is a thermal treatment for cancer which kills cancer cells by applying heat. Among different heating approaches, magnetic hyperthermia uses heat generation of magnetic nanoparticles to achieve local treatment. Magnetic nanoparticles induce heat when stimulated by an alternating magnetic field, and the heating efficiency depends on multiple parameters including magnetic properties of magnetic nanoparticles and magnetic field used to stimulate the nanoparticles. This dataset contains physical and magnetic properties of magnetic nanoparticles, external magnetic field conditions, and specific absorption rate (SAR) representing the heat generation efficiency of magnetic nanoparticles that can be used to build machine learning models to predict heating efficiency of magnetic nanoparticles.

高温热疗是一种针对癌症的热治疗方法，其通过施加热量来杀伤癌细胞。在多种加热方法中，磁性热疗通过利用磁性纳米粒子的热生成来实现局部治疗。在交变磁场的作用下，磁性纳米粒子产生热量，其加热效率取决于多个参数，包括磁性纳米粒子的磁学性质以及用于刺激纳米粒子的磁场。本数据集包含磁性纳米粒子的物理和磁学性质、外部磁场条件以及特定吸收率（SAR），后者代表了磁性纳米粒子的热生成效率，可用于构建机器学习模型，以预测磁性纳米粒子的加热效率。