Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes

[1]  Jeffrey Pennington,et al.  GloVe: Global Vectors for Word Representation , 2014, EMNLP.

[2]  Abeed Sarker,et al.  Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework , 2019, J. Am. Medical Informatics Assoc..

[3]  Selen Bozkurt,et al.  Natural Language Processing Approaches to Detect the Timeline of Metastatic Recurrence of Breast Cancer. , 2019, JCO clinical cancer informatics.

[4]  Abeed Sarker,et al.  Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis , 2017, Journal of medical Internet research.

[5]  Laura L Struik,et al.  A social media approach to inform youth about breast cancer and smoking: an exploratory descriptive study. , 2014, Collegian.

[6]  J. Landercasper,et al.  Twitter Social Media is an Effective Tool for Breast Cancer Patient Education and Support: Patient-Reported Outcomes by Survey , 2015, Journal of medical Internet research.

[7]  Janet S Carpenter,et al.  Oral Endocrine Therapy Nonadherence, Adverse Effects, Decisional Support, and Decisional Needs in Women With Breast Cancer , 2016, Cancer nursing.

[8]  A M Thompson,et al.  Cohort study examining tamoxifen adherence and its relationship to mortality in women with breast cancer , 2008, British Journal of Cancer.

[9]  A. Viera,et al.  Understanding interobserver agreement: the kappa statistic. , 2005, Family medicine.

[10]  Ming-Wei Chang,et al.  BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.

[11]  Jacob Cohen A Coefficient of Agreement for Nominal Scales , 1960 .

[12]  Abeed Sarker,et al.  A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities , 2016, Data in brief.

[13]  Ron M. C. Herings,et al.  Half of breast cancer patients discontinue tamoxifen and any endocrine treatment before the end of the recommended treatment period of 5 years: a population-based analysis , 2010, Breast Cancer Research and Treatment.