Classifying Supplement Use Status in Clinical Notes

por Fan, Yadan, He, Lu, Pakhomov, Serguei V.S., Melton, Genevieve B., Zhang, Rui
Publicado 2017

Using consumer-wearable technology for remote assessment of physiological response to stress in the naturalistic environment

por Pakhomov, Serguei V. S., Thuras, Paul D., Finzel, Raymond, Eppel, Jerika, Kotlyar, Michael
Publicado 2020

Open Source Clinical NLP – More than Any Single System

por Masanz, James, Pakhomov, Serguei V., Xu, Hua, Wu, Stephen T., Chute, Christopher G., Liu, Hongfang
Publicado 2014

Detecting clinically relevant new information in clinical notes across specialties and settings

por Zhang, Rui, Pakhomov, Serguei V. S., Arsoniadis, Elliot G., Lee, Janet T., Wang, Yan, Melton, Genevieve B.
Publicado 2017

Recurrent Deep Network Models for Clinical NLP Tasks: Use Case with Sentence Boundary Disambiguation

por Knoll, Benjamin C., Lindemann, Elizabeth A., Albert, Arian L., Melton, Genevieve B., Pakhomov, Serguei V.S.
Publicado 2019

Detecting Signals of Interactions Between Warfarin and Dietary Supplements in Electronic Health Records

por Fan, Yadan, Adam, Terrence J., McEwan, Reed, Pakhomov, Serguei V., Melton, Genevieve B., Zhang, Rui
Publicado 2017

Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs

por Zhang, Rui, Cairelli, Michael J, Fiszman, Marcelo, Kilicoglu, Halil, Rindflesch, Thomas C, Pakhomov, Serguei V, Melton, Genevieve B
Publicado 2014

NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes

por McEwan, Reed, Melton, Genevieve B., Knoll, Benjamin C., Wang, Yan, Hultman, Gretchen, Dale, Justin L., Meyer, Tim, Pakhomov, Serguei V.
Publicado 2016

An Opportunity for Pharmacists to Help Improve Coordination and Continuity of Patient Health Care

por Schommer, Jon C., Brown, Lawrence M., Bortz, Ryan (Alyssa), Cernasev, Alina, Gomaa, Basma T., Hager, Keri D., Hillman, Lisa, Okoro, Olihe, Pakhomov, Serguei V. S., Ranelli, Paul L.
Publicado 2018

A fast, resource efficient, and reliable rule-based system for COVID-19 symptom identification

por Sahoo, Himanshu S, Silverman, Greg M, Ingraham, Nicholas E, Lupei, Monica I, Puskarich, Michael A, Finzel, Raymond L, Sartori, John, Zhang, Rui, Knoll, Benjamin C, Liu, Sijia, Liu, Hongfang, Melton, Genevieve B, Tignanelli, Christopher J, Pakhomov, Serguei V S
Publicado 2021