June 20, 2019 article Open access Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models Breast Cancer Research DOI: 10.1186/s13058-019-1158-4 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 130 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Prediction of contralateral breast cancer: external validation of risk calculators in 20 international cohorts 2020 Breast Cancer Research and Treatment article Biochemistry, Genetics and Molecular Biology BRCA gene mutations in cancer Open access 23 citations Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction 2020 Breast Cancer Research letter Computer Science AI in cancer detection Open access 6 citations 2 results References 0