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20162020
most citedCharacterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach

10 citations · 20 across the 8 of their papers we have counts for

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cs.LG2020

A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records

Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty +11

Many institutions within the healthcare ecosystem are making significant investments in AI technologies to optimize their business operations at lower cost with improved patient ou…

cs.LG2019★ 4 cited

Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records

Prithwish Chakraborty, Fei Wang, Jianying Hu +1

In recent years, we have witnessed an increased interest in temporal modeling of patient records from large scale Electronic Health Records (EHR). While simpler RNN models have bee…

cs.LG2017

A Novel Data-Driven Framework for Risk Characterization and Prediction from Electronic Medical Records: A Case Study of Renal Failure

Prithwish Chakraborty, Vishrawas Gopalakrishnan, Sharon M. H. Alford +1

Electronic medical records (EMR) contain longitudinal information about patients that can be used to analyze outcomes. Typically, studies on EMR data have worked with established v…

cs.LG2016★ 1 cited

Hierarchical Quickest Change Detection via Surrogates

Prithwish Chakraborty, Sathappan Muthiah, Ravi Tandon +1

Change detection (CD) in time series data is a critical problem as it reveal changes in the underlying generative processes driving the time series. Despite having received signifi…

cs.LG2016★ 10 cited

Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach

Saurav Ghosh, Prithwish Chakraborty, Emily Cohn +2

Traditional disease surveillance can be augmented with a wide variety of real-time sources such as, news and social media. However, these sources are in general unstructured and, c…