Data for: Machine learning-based genetic diagnosis models for hereditary hearing loss by the GJB2, SLC26A4 and MT-RNR1 mutations

This is the Supporting Datasets for the manuscript "Machine learning-based genetic diagnosis models for hereditary hearing loss by the GJB2, SLC26A4 and MT-RNR1 mutations" by Luo et al in EBiomedicine . The two data sets were processed sequencing data, of which the Discovery Set was from the medical records and the Validation Set was from the Disabled Persons' Federation. PS: No mutations found were indicated by 0, heterozygous mutations by 1, and homozygous mutations by 2

本数据集为Luo等人发表于《EBiomedicine》的论文《基于GJB2、SLC26A4与MT-RNR1突变的机器学习遗传性耳聋诊断模型》的配套补充数据集。
本次包含的两套数据集均为经预处理的测序数据，其中发现集（Discovery Set）来源于临床病历，验证集（Validation Set）来源于残疾人联合会。
备注：未检测到突变以0标识，杂合突变以1标识，纯合突变以2标识。