Search Results - "Taneja, Sanya B"

Broadening the capture of natural products mentioned in FAERS using fuzzy string-matching and a Siamese neural network by Dilán-Pantojas, Israel O., Boonchalermvichien, Tanupat, Taneja, Sanya B., Li, Xiaotong, Chapin, Maryann R., Karcher, Sandra, Boyce, Richard D.

“…Increased sales of natural products (NPs) in the US and growing safety concerns highlight the need for NP pharmacovigilance. A challenge for NP…”
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An evaluation of adverse drug reactions and outcomes attributed to kratom in the US Food and Drug Administration Adverse Event Reporting System from January 2004 through September 2021 by Li, Xiaotong, Ndungu, Patrick, Taneja, Sanya B., Chapin, Maryann R., Egbert, Susan B., Akenapalli, Krishi, Paine, Mary F., Kane‐Gill, Sandra L., Boyce, Richard D.

“…Kratom is a widely used Asian botanical that has gained popularity in the United States due to a perception that it can treat pain, anxiety, and opioid…”
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Bayesian network models with decision tree analysis for management of childhood malaria in Malawi by Taneja, Sanya B, Douglas, Gerald P, Cooper, Gregory F, Michaels, Marian G, Druzdzel, Marek J, Visweswaran, Shyam

“…Malaria is a major cause of death in children under five years old in low- and middle-income countries such as Malawi. Accurate diagnosis and management of…”
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Developing a Knowledge Graph for Pharmacokinetic Natural Product-Drug Interactions by Taneja, Sanya B., Callahan, Tiffany J., Paine, Mary F., Kane-Gill, Sandra L., Kilicoglu, Halil, Joachimiak, Marcin P., Boyce, Richard D.

“…[Display omitted] Pharmacokinetic natural product-drug interactions (NPDIs) occur when botanical or other natural products are co-consumed with pharmaceutical…”
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Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study by Visweswaran, Shyam, Colditz, Jason B, O'Halloran, Patrick, Han, Na-Rae, Taneja, Sanya B, Welling, Joel, Chu, Kar-Hai, Sidani, Jaime E, Primack, Brian A

“…Twitter presents a valuable and relevant social media platform to study the prevalence of information and sentiment on vaping that may be useful for public…”
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Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: A use case studying depression as a risk factor for Alzheimer’s disease by Malec, Scott A., Taneja, Sanya B., Albert, Steven M., Elizabeth Shaaban, C., Karim, Helmet T., Levine, Arthur S., Munro, Paul, Callahan, Tiffany J., Boyce, Richard D.

“…[Display omitted] •Knowledge of causal variables and their roles is essential for causal inference.•We show how to search a knowledge graph (KG) for causal…”
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Does clinical data capture modifiable midlife risk factors for Alzheimer’s disease? by Shaaban, C Elizabeth, Taneja, Sanya B, Witonsky, Kailyn F, Malec, Scott A, Karim, Helmet T, Pratt, Sheila, Levine, Arthur S, Munro, Paul, Boyce, Richard D, Albert, Steven M

“…Background The 2020 Lancet Dementia Commission Report highlighted 5 modifiable midlife risk factors for dementia across multiple datasets: hearing loss,…”
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An open source knowledge graph ecosystem for the life sciences by Callahan, Tiffany J., Tripodi, Ignacio J., Stefanski, Adrianne L., Cappelletti, Luca, Taneja, Sanya B., Wyrwa, Jordan M., Casiraghi, Elena, Matentzoglu, Nicolas A., Reese, Justin, Silverstein, Jonathan C., Hoyt, Charles Tapley, Boyce, Richard D., Malec, Scott A., Unni, Deepak R., Joachimiak, Marcin P., Robinson, Peter N., Mungall, Christopher J., Cavalleri, Emanuele, Fontana, Tommaso, Valentini, Giorgio, Mesiti, Marco, Gillenwater, Lucas A., Santangelo, Brook, Vasilevsky, Nicole A., Hoehndorf, Robert, Bennett, Tellen D., Ryan, Patrick B., Hripcsak, George, Kahn, Michael G., Bada, Michael, Baumgartner, William A., Hunter, Lawrence E.

“…Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the…”
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Ontologizing health systems data at scale: making translational discovery a reality by Callahan, Tiffany J., Stefanski, Adrianne L., Wyrwa, Jordan M., Zeng, Chenjie, Ostropolets, Anna, Banda, Juan M., Baumgartner, William A., Boyce, Richard D., Casiraghi, Elena, Coleman, Ben D., Collins, Janine H., Deakyne Davies, Sara J., Feinstein, James A., Lin, Asiyah Y., Martin, Blake, Matentzoglu, Nicolas A., Meeker, Daniella, Reese, Justin, Sinclair, Jessica, Taneja, Sanya B., Trinkley, Katy E., Vasilevsky, Nicole A., Williams, Andrew E., Zhang, Xingmin A., Denny, Joshua C., Ryan, Patrick B., Hripcsak, George, Bennett, Tellen D., Haendel, Melissa A., Robinson, Peter N., Hunter, Lawrence E., Kahn, Michael G.

“…Common data models solve many challenges of standardizing electronic health record (EHR) data but are unable to semantically integrate all of the resources…”
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Introducing Information Retrieval for Biomedical Informatics Students by Taneja, Sanya B, Boyce, Richard D, Reynolds, William T, Newman-Griffis, Denis

“…Introducing biomedical informatics (BMI) students to natural language processing (NLP) requires balancing technical depth with practical know-how to address…”
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Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug Interactions by Taneja, Sanya B, Callahan, Tiffany J, Paine, Mary F, Kane-Gill, Sandra L, Kilicoglu, Halil, Joachimiak, Marcin P, Boyce, Richard D

“…Journal of Biomedical Informatics 140 (2023) 104341 Pharmacokinetic natural product-drug interactions (NPDIs) occur when botanical natural products are…”
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An Open-Source Knowledge Graph Ecosystem for the Life Sciences by Callahan, Tiffany J, Tripodi, Ignacio J, Stefanski, Adrianne L, Cappelletti, Luca, Taneja, Sanya B, Wyrwa, Jordan M, Casiraghi, Elena, Matentzoglu, Nicolas A, Reese, Justin, Silverstein, Jonathan C, Hoyt, Charles Tapley, Boyce, Richard D, Malec, Scott A, Unni, Deepak R, Joachimiak, Marcin P, Robinson, Peter N, Mungall, Christopher J, Cavalleri, Emanuele, Fontana, Tommaso, Valentini, Giorgio, Mesiti, Marco, Gillenwater, Lucas A, Santangelo, Brook, Vasilevsky, Nicole A, Hoehndorf, Robert, Bennett, Tellen D, Ryan, Patrick B, Hripcsak, George, Kahn, Michael G, Bada, Michael, BaumgartnerJr, William A, Hunter, Lawrence E

“…Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the…”
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Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality by Callahan, Tiffany J, Stefanski, Adrianne L, Wyrwa, Jordan M, Zeng, Chenjie, Ostropolets, Anna, Banda, Juan M, BaumgartnerJr, William A, Boyce, Richard D, Casiraghi, Elena, Coleman, Ben D, Collins, Janine H, Deakyne-Davies, Sara J, Feinstein, James A, Haendel, Melissa A, Lin, Asiyah Y, Martin, Blake, Matentzoglu, Nicolas A, Meeker, Daniella, Reese, Justin, Sinclair, Jessica, Taneja, Sanya B, Trinkley, Katy E, Vasilevsky, Nicole A, Williams, Andrew, Zhang, Xingman A, Denny, Joshua C, Robinson, Peter N, Ryan, Patrick, Hripcsak, George, Bennett, Tellen D, Hunter, Lawrence E, Kahn, Michael G

“…Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the…”
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