Magnetic Hyperthermia Dataset

Name: Magnetic Hyperthermia Dataset
Creator: Asahi Tomitaka
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Machine Learning

Citation Author(s):: Asahi Tomitaka
Submitted by:: Asahi Tomitaka
Last updated:: Mon, 11/11/2024 - 18:03
DOI:: 10.21227/2hqp-7w24

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Categories:

Machine Learning

Keywords:

Magnetic Nanoparticles (MNPs)

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Abstract

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.

Instructions:

The dataset includes the core composition, diameter, saturation magnetization (Ms), and coercivity (Hc) of magnetic nanoparticles, nanoparticle concentration used for hyperthermia experiment, alternating magnetic field amplitude and frequency, and SAR representing the heat generation efficiency of magnetic nanoparticles.