数据链接:
官方服务:
资源简介:
Classification of Autism Using Screening Results
基于筛查结果的自闭症(Autism)分类
应用场景:
创建时间:
2026-03-16
相关数据集
pavanmantha/medical-symptoms-disease-classification
--- dataset_info: features: - name: text dtype: string - name: label dtype: string - name: labels dtype: int64 splits: - name: train num_bytes: 152225 num_examples: 853
Hugging Face2026-03-19 更新70
Predictive impact of rare genomic copy number variations in high-risk infant siblings of individuals with autism. Predictive impact of rare genomic copy number variations in high-risk infant siblings of individuals with autism
Identification of biological markers, including genes, predictive of Autism Spectrum Disorder (ASD) is a mandate of the Baby Siblings Research Consortium (BSRC)1. The BSRC includes a biorepository fro
NIAID Data Ecosystem40
Classification performance of the combination of STAT3, ICAM1 and single STAT3 or ICAM1 based on leave-one-out cross validation analysis.
Classification performance of the combination of STAT3, ICAM1 and single STAT3 or ICAM1 based on leave-one-out cross validation analysis.
NIAID Data Ecosystem30
Supplementary Material for: Optimal Range of Fecal Calprotectin for Predicting Mucosal Healing in Patients with Inflammatory Bowel Disease: A Systematic Review and Meta-Analysis
Objective: Fecal calprotectin (FC) is a promising marker for assessment of inflammatory bowel disease (IBD) activity. However, the utility of FC for predicting mucosal healing (MH) of IB
DataCite Commons2021-01-21 更新50
ROC analysis for the prediction of IFD by platelet parameters using the cutoffs with the maximal sum of sensitivity and specificity.
AUC = area under the curveROC analysis for the prediction of IFD by platelet parameters using the cutoffs with the maximal sum of sensitivity and specificity.
Figshare2015-12-03 更新30



