102 citations · 297 across the 16 of their papers we have counts for
5 papers · 1 filter
FakeSafe: Human Level Data Protection by Disinformation Mapping using Cycle-consistent Adversarial Network
He Zhu, Dianbo Liu
The concept of disinformation is to use fake messages to confuse people in order to protect the real information. This strategy can be adapted into data science to protect valuable…
Patient similarity: methods and applications
Leyu Dai, He Zhu, Dianbo Liu
Patient similarity analysis is important in health care applications. It takes patient information such as their electronic medical records and genetic data as input and computes t…
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
Dianbo Liu, Leonardo Clemente, Canelle Poirier +5
We present a timely and novel methodology that combines disease estimates from mechanistic models with digital traces, via interpretable machine-learning methodologies, to reliably…
Federated pretraining and fine tuning of BERT using clinical notes from multiple silos
Dianbo Liu, Tim Miller
Large scale contextual representation models, such as BERT, have significantly advanced natural language processing (NLP) in recently years. However, in certain area like healthcar…
Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records
Jianfei Cui, He Zhu, Hao Deng +2
Sometimes electrical medical records are restricted and difficult to centralize for machine learning, which could only be trained in distributed manner that involved many instituti…