no code implementations • 11 Dec 2023 • Will E. Thompson, David M. Vidmar, Jessica K. De Freitas, John M. Pfeifer, Brandon K. Fornwalt, Ruijun Chen, Gabriel Altay, Kabir Manghnani, Andrew C. Nelsen, Kellie Morland, Martin C. Stumpe, Riccardo Miotto
Identifying disease phenotypes from electronic health records (EHRs) is critical for numerous secondary uses.
1 code implementation • 12 Apr 2019 • Ismini Lourentzou, Kabir Manghnani, ChengXiang Zhai
Social media offer an abundant source of valuable raw data, however informal writing can quickly become a bottleneck for many natural language processing (NLP) tasks.
Ranked #3 on Lexical Normalization on LexNorm
no code implementations • 7 Dec 2018 • Kabir Manghnani, Adam Drake, Nathan Wan, Imran Haque
These effects include both technical effects, such as variation across batches from instrument noise or sample processing, or institution-specific differences in sample acquisition and physical handling, as well as biological effects arising from true but irrelevant differences in the biology of each sample, such as age biases in diseases.