Thomas C Rindflesch
Overview
Explore the profile of Thomas C Rindflesch including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
73
Citations
1309
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Rindflesch T, Blake C, Cairelli M, Fiszman M, Zeiss C, Kilicoglu H
J Biomed Semantics
. 2018 Dec;
9(1):25.
PMID: 30587224
Background: Structured electronic health records are a rich resource for identifying novel correlations, such as co-morbidities and adverse drug reactions. For drug development and better understanding of biomedical phenomena, such...
2.
Rindflesch T, Blake C, Fiszman M, Kilicoglu H, Rosemblat G, Schneider J, et al.
ILAR J
. 2017 Aug;
58(1):80-89.
PMID: 28838071
Informatics methodologies exploit computer-assisted techniques to help biomedical researchers manage large amounts of information. In this paper, we focus on the biomedical research literature (MEDLINE). We first provide an overview...
3.
Kilicoglu H, Rosemblat G, Rindflesch T
PLoS One
. 2017 Jul;
12(7):e0179926.
PMID: 28678823
Biomedical knowledge claims are often expressed as hypotheses, speculations, or opinions, rather than explicit facts (propositions). Much biomedical text mining has focused on extracting propositions from biomedical literature. One such...
4.
Workman T, Weir C, Rindflesch T
AMIA Annu Symp Proc
. 2017 Mar;
2016:1238-1247.
PMID: 28269921
Words which have different representations but are semantically related, such as dementia and delirium, can pose difficult issues in understanding text. We explore the use of interaction frequency data between...
5.
Kastrin A, Rindflesch T, Hristovski D
Methods Inf Med
. 2016 Jul;
55(4):340-6.
PMID: 27435341
Objectives: Literature-based discovery (LBD) is a text mining methodology for automatically generating research hypotheses from existing knowledge. We mimic the process of LBD as a classification problem on a graph...
6.
Hristovski D, Kastrin A, Dinevski D, Burgun A, Ziberna L, Rindflesch T
J Med Syst
. 2016 Jun;
40(8):185.
PMID: 27318993
We report on our research in using literature-based discovery (LBD) to provide pharmacological and/or pharmacogenomic explanations for reported adverse drug effects. The goal of LBD is to generate novel and...
7.
Kilicoglu H, Rosemblat G, Fiszman M, Rindflesch T
BMC Bioinformatics
. 2016 Apr;
17:163.
PMID: 27080229
Background: Entity coreference is common in biomedical literature and it can affect text understanding systems that rely on accurate identification of named entities, such as relation extraction and automatic summarization....
8.
Workman T, Fiszman M, Cairelli M, Nahl D, Rindflesch T
J Biomed Inform
. 2016 Jan;
60:23-37.
PMID: 26732995
Findings from information-seeking behavior research can inform application development. In this report we provide a system description of Spark, an application based on findings from Serendipitous Knowledge Discovery studies and...
9.
Hristovski D, Kastrin A, Dinevski D, Rindflesch T
Stud Health Technol Inform
. 2015 Aug;
216:1094.
PMID: 26262393
Literature-based discovery (LBD) generates discoveries, or hypotheses, by combining what is already known in the literature. Potential discoveries have the form of relations between biomedical concepts; for example, a drug...
10.
Networks of neuroinjury semantic predications to identify biomarkers for mild traumatic brain injury
Cairelli M, Fiszman M, Zhang H, Rindflesch T
J Biomed Semantics
. 2015 May;
6:25.
PMID: 25992264
Objective: Mild traumatic brain injury (mTBI) has high prevalence in the military, among athletes, and in the general population worldwide (largely due to falls). Consequences can include a range of...