ArticleData in brief2021
Dataset of Indonesian women's reproductive, high-fat diet and body mass index risk factors for breast cancer.
Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Scoring System for Predicting Breast Cancer Risk Among Women in Regions with Limited Healthcare Infrastructure in Indonesia.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- SELF-EFFICACY MEDIATES THE RELATIONSHIP BETWEEN SEXUAL EDUCATION AND PREVENTION OF SEXUALLY-TRANSMITTED DISEASES AWARENESS AMONG SECONDARY SCHOOL STUDENTS IN PADANG CITY, INDONESIA.African journal of infectious diseases · 2025Article
- A dataset of breast cancer risk factors in Cuban women: Epidemiological evidence from Havana.Data in brief · 2024Article
- XAI-driven CatBoost multi-layer perceptron neural network for analyzing breast cancer.Scientific reports · 2024Article
- Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review.Cancer innovation · 2024Article
- A Hybrid Algorithm of ML and XAI to Prevent Breast Cancer: A Strategy to Support Decision Making.Cancers · 2023Article
- Article
- The risk factors and pregnant women's willingness toward the SARS-CoV-2 vaccination in various countries: A systematic review and meta-analysis.Clinical epidemiology and global healthArticle
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This dataset describes a survey presenting reproductive, high-fat diet and body mass index (BMI) determinant factors for breast cancer among Indonesian women. The information was gathered from breast cancer and non-breast cancer patients via an online questionnaire, determining reproductive factors (menarche age, menopause age, first pregnancy age, parity, and breastfeeding), high-fat diet and BMI, from 1st June until 31th September 2020. Two hundred breast cancer patients and 200 non-breast cancer patients in Indonesia willing to fill out an online survey provided the samples. The data was analyzed using IBM version 25.0, which included univariate, bivariate, and multivariate analysis. The information would help Indonesian women in identifying the potential of breast cancer.
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