1. Articles from Zhang R , et al.

    1-5 of 5
    1. Potential role of microRNA‑223‑3p in the tumorigenesis of hepatocellular carcinoma: A comprehensive study based on data mining and bioinformatics.

      Potential role of microRNA‑223‑3p in the tumorigenesis of hepatocellular carcinoma: A comprehensive study based on data mining and bioinformatics.

      Mol Med Rep. 2017 Nov 27;:

      Authors: Zhang R, Zhang LJ, Yang ML, Huang LS, Chen G, Feng ZB

      Abstract The aims of the present study were to examine the potential role of microRNA‑233‑3p (miR)‑223‑3p in the tumorigenesis of hepatocellular carcinoma (HCC), and to investigate its diagnostic accuracy and potential molecular mechanisms.

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      Mentions: Gene Ontology Mol HCC
    2. Detecting clinically relevant new information in clinical notes across specialties and settings.

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

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

      BMC Med Inform Decis Mak. 2017 Jul 05;17(Suppl 2):68

      Authors: Zhang R, Pakhomov SVS, Arsoniadis EG, Lee JT, Wang Y, Melton GB

      Abstract BACKGROUND: Automated methods for identifying clinically relevant new versus redundant information in electronic health record (EHR) clinical notes is useful for clinicians and researchers involved in patient care and clinical research, respectively.

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    3. Using language models to identify relevant new information in inpatient clinical notes.

      Using language models to identify relevant new information in inpatient clinical notes.

      Using language models to identify relevant new information in inpatient clinical notes.

      AMIA Annu Symp Proc. 2014;2014:1268-76

      Authors: Zhang R, Pakhomov SV, Lee JT, Melton GB

      Abstract Redundant information in clinical notes within electronic health record (EHR) systems is ubiquitous and may negatively impact the use of these notes by clinicians, and, potentially, the efficiency of patient care delivery.

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    4. Navigating longitudinal clinical notes with an automated method for detecting new information.

      Navigating longitudinal clinical notes with an automated method for detecting new information.

      Navigating longitudinal clinical notes with an automated method for detecting new information.

      Stud Health Technol Inform. 2013;192:754-8

      Authors: Zhang R, Pakhomov S, Lee JT, Melton GB

      Abstract Automated methods to detect new information in clinical notes may be valuable for navigating and using information in these documents for patient care. Statistical language models were evaluated as a means to quantify new information over longitudinal clinical notes for a given patient.

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

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

      Cancer Inform. 2014;13(Suppl 1):103-11

      Authors: Zhang R, Cairelli MJ, Fiszman M, Kilicoglu H, Rindflesch TC, Pakhomov SV, Melton GB

      Abstract In this study, we report on the performance of an automated approach to discovery of potential prostate cancer drugs from the biomedical literature.

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    1-5 of 5
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