Discovering and Validating Breast Cancer Treatment Correlations Using an Associative Memory Model and Statistical Methods
暂无分享,去创建一个
[1] Daniel S. Rizzuto,et al. An Autoassociative Neural Network Model of Paired-Associate Learning , 2001, Neural Computation.
[2] Amar K. Das,et al. Oncoshare: Lessons learned from building an integrated multi-institutional database for comparative effectiveness research , 2012, AMIA.
[3] Manisha Desai,et al. Breast cancer treatment across health care systems: Linking electronic medical records and state registry data to enable outcomes research , 2014, Cancer.
[4] A. Lansner. Associative memory models: from the cell-assembly theory to biophysically detailed cortex simulations , 2009, Trends in Neurosciences.
[5] Amar K. Das,et al. A simple heuristic for blindfolded record linkage , 2012, J. Am. Medical Informatics Assoc..
[6] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[7] Wendy A. Wolf,et al. The eMERGE Network: A consortium of biorepositories linked to electronic medical records data for conducting genomic studies , 2011, BMC Medical Genomics.
[8] Annarita Giani,et al. An Associative Memory Model for Integration of Fragmented Research Data and Identification of Treatment Correlations in Breast Cancer Care , 2015, AMIA.
[9] Griffin M. Weber,et al. Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2) , 2010, J. Am. Medical Informatics Assoc..