eBreCaP: extreme learning-based model for breast cancer survival prediction

Extreme learning machine Cox model for high-dimensional survival analysis

(2019) Hong Wang et al.   STATISTICS IN MEDICINE

A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer

(2019) Ashraf Abou Tabl et al.   Frontiers in Genetics

SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer

(2019) Zhi Huang et al.   Frontiers in Genetics

Classifying Breast Cancer Subtypes Using Multiple Kernel Learning Based on Omics Data

(2019) Mingxin Tao et al.   Genes

Integrating genomic data and pathological images to effectively predict breast cancer clinical outcome

(2018) Dongdong Sun et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Opportunities and obstacles for deep learning in biology and medicine

(2018) Travers Ching et al.   Journal of the Royal Society Interface

Integrating Feature Selection and Feature Extraction Methods With Deep Learning to Predict Clinical Outcome of Breast Cancer

(2018) Dejun Zhang et al.   IEEE Access

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2018) Freddie Bray et al.   CA-A CANCER JOURNAL FOR CLINICIANS

SurvELM: An R package for high dimensional survival analysis with extreme learning machine

(2018) Hong Wang et al.   KNOWLEDGE-BASED SYSTEMS

A guide to deep learning in healthcare

(2018) Andre Esteva et al.   NATURE MEDICINE

Increased Proportion of Variance Explained and Prediction Accuracy of Survival of Breast Cancer Patients with Use of Whole-Genome Multiomic Profiles

(2016) A. I. Vazquez et al.   GENETICS

Response and survival of breast cancer intrinsic subtypes following multi-agent neoadjuvant chemotherapy

(2015) Aleix Prat et al.   BMC Medicine

Metadata matters: access to image data in the real world

(2010) Melissa Linkert et al.   JOURNAL OF CELL BIOLOGY

Support vector machines combined with feature selection for breast cancer diagnosis

(2008) Mehmet Fatih Akay   EXPERT SYSTEMS WITH APPLICATIONS