Search Results - "Dandala, Bharath"

AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19 by Suryanarayanan, Parthasarathy, Tsou, Ching-Huei, Poddar, Ananya, Mahajan, Diwakar, Dandala, Bharath, Madan, Piyush, Agrawal, Anshul, Wachira, Charles, Samuel, Osebe Mogaka, Bar-Shira, Osnat, Kipchirchir, Clifton, Okwako, Sharon, Ogallo, William, Otieno, Fred, Nyota, Timothy, Matu, Fiona, Barros, Vesna Resende, Shats, Daniel, Kagan, Oren, Remy, Sekou, Bent, Oliver, Guhan, Pooja, Mahatma, Shilpa, Walcott-Bryant, Aisha, Pathak, Divya, Rosen-Zvi, Michal

“…The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human society throughout the world. Against an emerging, highly…”
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Extraction of Information Related to Drug Safety Surveillance From Electronic Health Record Notes: Joint Modeling of Entities and Relations Using Knowledge-aware Neural Attentive Models by Dandala, Bharath, Joopudi, Venkata, Tsou, Ching-Huei, Liang, Jennifer J, Suryanarayanan, Parthasarathy

“…An adverse drug event (ADE) is commonly defined as "an injury resulting from medical intervention related to a drug". Providing information related to ADEs and…”
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Adverse Drug Events Detection in Clinical Notes by Jointly Modeling Entities and Relations Using Neural Networks by Dandala, Bharath, Joopudi, Venkata, Devarakonda, Murthy

“…Background and Significance Adverse drug events (ADEs) occur in approximately 2–5% of hospitalized patients, often resulting in poor outcomes or even death…”
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A convolutional route to abbreviation disambiguation in clinical text by Joopudi, Venkata, Dandala, Bharath, Devarakonda, Murthy

“…[Display omitted] •Convolutional Neural Networks are effective in disambiguating abbreviation senses.•Dataset-specific feature engineering can be avoided with…”
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Hierarchy-aware Adverse Reaction Embeddings for Signal Detection by Joopudi, Venkata, Dandala, Bharath, Tsou, Ching-Huei, Liang, Jennifer J.

“…Post-market drug surveillance monitors new and evolving treatments for their effectiveness and safety in real-world conditions. A large amount of drug safety…”
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Hierarchy-aware Adverse Reaction Embeddings for Signal Detection by Joopudi, Venkata, Dandala, Bharath, Tsou, Ching-Huei, Liang, Jennifer J

“…Post-market drug surveillance monitors new and evolving treatments for their effectiveness and safety in real-world conditions. A large amount of drug safety…”
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Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record by Liang, Jennifer J, Tsou, Ching-Huei, Dandala, Bharath, Poddar, Ananya, Joopudi, Venkata, Mahajan, Diwakar, Prager, John, Raghavan, Preethi, Payne, Michele

“…Overabundance of information within electronic health records (EHRs) has resulted in a need for automated systems to mitigate the cognitive burden on…”
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Multilingual word sense disambiguation using Wikipedia by Dandala, Bharath

“…Ambiguity is inherent to human language. In particular, word sense ambiguity is prevalent in all natural languages, with a large number of the words in any…”
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Graph-based keyphrase extraction using Wikipedia by Dandala, Bharath

“…Keyphrases describe a document in a coherent and simple way, giving the prospective reader a way to quickly determine whether the document satisfies their…”
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Training Models to Extract Treatment Plans from Clinical Notes Using Contents of Sections with Headings by Poddar, Ananya, Dandala, Bharath, Devarakonda, Murthy

“…Objective: Using natural language processing (NLP) to find sentences that state treatment plans in a clinical note, would automate plan extraction and would…”
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INDUS: Effective and Efficient Language Models for Scientific Applications by Bhattacharjee, Bishwaranjan, Trivedi, Aashka, Muraoka, Masayasu, Ramasubramanian, Muthukumaran, Udagawa, Takuma, Gurung, Iksha, Pantha, Nishan, Zhang, Rong, Dandala, Bharath, Ramachandran, Rahul, Maskey, Manil, Bugbee, Kaylin, Little, Mike, Fancher, Elizabeth, Gerasimov, Irina, Mehrabian, Armin, Sanders, Lauren, Costes, Sylvain, Blanco-Cuaresma, Sergi, Lockhart, Kelly, Allen, Thomas, Grezes, Felix, Ansdell, Megan, Accomazzi, Alberto, El-Kurdi, Yousef, Wertheimer, Davis, Pfitzmann, Birgit, Ramis, Cesar Berrospi, Dolfi, Michele, de Lima, Rafael Teixeira, Vagenas, Panagiotis, Mukkavilli, S. Karthik, Staar, Peter, Vahidinia, Sanaz, McGranaghan, Ryan, Lee, Tsendgar

“…Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous research…”
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WNTRAC: AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19 by Suryanarayanan, Parthasarathy, Tsou, Ching-Huei, Poddar, Ananya, Mahajan, Diwakar, Dandala, Bharath, Madan, Piyush, Agrawal, Anshul, Wachira, Charles, Samuel, Osebe Mogaka, Bar-Shira, Osnat, Kipchirchir, Clifton, Okwako, Sharon, Ogallo, William, Otieno, Fred, Nyota, Timothy, Matu, Fiona, Barros, Vesna Resende, Shats, Daniel, Kagan, Oren, Remy, Sekou, Bent, Oliver, Guhan, Pooja, Mahatma, Shilpa, Walcott-Bryant, Aisha, Pathak, Divya, Rosen-Zvi, Michal

“…The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human society throughout the world. Against an emerging, highly…”
Get full text