A Hybrid Approach to Identify Subsequent Breast Cancer Using Pathology and Automated Health Information Data

By R. Haque, Jiaxiao X. Shi, J. Schottinger, Syed A. Ahmed, J. Chung, C. Avila, V. Lee, T. Cheetham, L. Habel, S. Fletcher and 1 more. 2015

21 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cancer Research, Oncology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Zexian Zeng
2. Tristan Naumann
3. Xiaoyu Li
4. Yu Deng
5. Yuan Luo

Citations in the corpus

• Natural Language Processing for EHR-Based Computational Phenotyping (2018, background): “These applications have extended from disease identification to disease subtyping such as lung cancer stage evaluation [40], or subsequent event detection such as breast cancer recurrence detection [41] and cancer metastases detection [42].”