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A Probabilistic Reasoning Method for Predicting the Progression of Clinical Findings from Electronic Medical Records.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Goodwin T, Harabagiu SM.
PMID: 26306238
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:61-5. eCollection 2015.

In this paper, we present a probabilistic reasoning method capable of generating predictions of the progression of clinical findings (CFs) reported in the narrative portion of electronic medical records. This method benefits from a probabilistic knowledge representation made possible...

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Goodwin T, Harabagiu SM. A Probabilistic Reasoning Method for Predicting the Progression of Clinical Findings from Electronic Medical Records. AMIA Jt Summits Transl Sci Proc. 2015;2015:61-5
Goodwin, T., & Harabagiu, S. M. (2015). A Probabilistic Reasoning Method for Predicting the Progression of Clinical Findings from Electronic Medical Records. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 201561-5.
Goodwin, Travis, and Harabagiu, Sanda M. "A Probabilistic Reasoning Method for Predicting the Progression of Clinical Findings from Electronic Medical Records." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 61-5.
Goodwin T, Harabagiu SM. A Probabilistic Reasoning Method for Predicting the Progression of Clinical Findings from Electronic Medical Records. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:61-5. eCollection 2015. PMID: 26306238; PMCID: PMC4525214.
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Drug Normalization for Cancer Therapeutic and Druggable Genome Target Discovery.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Jiang G, Sohn S, Zimmermann MT, Wang C, Liu H, Chute CG.
PMID: 26306243
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:72-6. eCollection 2015.

Heterogeneous drug data representation among different druggable genome knowledge resources and datasets delays effective cancer therapeutic target discovery within the broad scientific community. The objective of the present paper is to describe the challenges and lessons learned from our...

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Jiang G, Sohn S, Zimmermann MT, et al. Drug Normalization for Cancer Therapeutic and Druggable Genome Target Discovery. AMIA Jt Summits Transl Sci Proc. 2015;2015:72-6
Jiang, G., Sohn, S., Zimmermann, M. T., Wang, C., Liu, H., & Chute, C. G. (2015). Drug Normalization for Cancer Therapeutic and Druggable Genome Target Discovery. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 201572-6.
Jiang, Guoqian, et al. "Drug Normalization for Cancer Therapeutic and Druggable Genome Target Discovery." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 72-6.
Jiang G, Sohn S, Zimmermann MT, Wang C, Liu H, Chute CG. Drug Normalization for Cancer Therapeutic and Druggable Genome Target Discovery. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:72-6. eCollection 2015. PMID: 26306243; PMCID: PMC4525232.
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Mining Twitter Data to Improve Detection of Schizophrenia.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

McManus K, Mallory EK, Goldfeder RL, Haynes WA, Tatum JD.
PMID: 26306253
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:122-6. eCollection 2015.

Individuals who suffer from schizophrenia comprise I percent of the United States population and are four times more likely to die of suicide than the general US population. Identification of at-risk individuals with schizophrenia is challenging when they do...

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McManus K, Mallory EK, Goldfeder RL, et al. Mining Twitter Data to Improve Detection of Schizophrenia. AMIA Jt Summits Transl Sci Proc. 2015;2015:122-6
McManus, K., Mallory, E. K., Goldfeder, R. L., Haynes, W. A., & Tatum, J. D. (2015). Mining Twitter Data to Improve Detection of Schizophrenia. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015122-6.
McManus, Kimberly, et al. "Mining Twitter Data to Improve Detection of Schizophrenia." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 122-6.
McManus K, Mallory EK, Goldfeder RL, Haynes WA, Tatum JD. Mining Twitter Data to Improve Detection of Schizophrenia. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:122-6. eCollection 2015. PMID: 26306253; PMCID: PMC4525233.
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A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Mo H, Pacheco JA, Rasmussen LV, Speltz P, Pathak J, Denny JC, Thompson WK.
PMID: 26306254
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:127-31. eCollection 2015.

Electronic clinical quality measures (eCQMs) based on the Quality Data Model (QDM) cannot currently be executed against non-standardized electronic health record (EHR) data. To address this gap, we prototyped an implementation of a QDM-based eCQM using KNIME, an open-source...

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Mo H, Pacheco JA, Rasmussen LV, et al. A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform. AMIA Jt Summits Transl Sci Proc. 2015;2015:127-31
Mo, H., Pacheco, J. A., Rasmussen, L. V., Speltz, P., Pathak, J., Denny, J. C., & Thompson, W. K. (2015). A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015127-31.
Mo, Huan, et al. "A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 127-31.
Mo H, Pacheco JA, Rasmussen LV, Speltz P, Pathak J, Denny JC, Thompson WK. A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:127-31. eCollection 2015. PMID: 26306254; PMCID: PMC4525225.
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Toward a Natural Language Interface for EHR Questions.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Roberts K, Demner-Fushman D.
PMID: 26306260
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:157-61. eCollection 2015.

This paper presents a pilot study on the process of manually annotating natural language EHR questions with a formal meaning representation. This formal representation could then be used as a structured query as part of a natural language interface...

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Roberts K, Demner-Fushman D. Toward a Natural Language Interface for EHR Questions. AMIA Jt Summits Transl Sci Proc. 2015;2015:157-61
Roberts, K., & Demner-Fushman, D. (2015). Toward a Natural Language Interface for EHR Questions. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015157-61.
Roberts, Kirk, and Demner-Fushman, Dina. "Toward a Natural Language Interface for EHR Questions." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 157-61.
Roberts K, Demner-Fushman D. Toward a Natural Language Interface for EHR Questions. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:157-61. eCollection 2015. PMID: 26306260; PMCID: PMC4525248.
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Granular Quality Reporting for Cervical Cytology Testing.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Wagholikar KB, MacLaughlin KL, Chute CG, Greenes RA, Liu H, Chaudhry R.
PMID: 26306264
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:178-82. eCollection 2015.

Quality reporting for cervical cancer prevention is focused on patients with normal cervical cytology, and excludes patients with cytological abnormalities that may be at higher risk. The major obstacles for granular reporting are the complexity of surveillance guidelines and...

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Wagholikar KB, MacLaughlin KL, Chute CG, et al. Granular Quality Reporting for Cervical Cytology Testing. AMIA Jt Summits Transl Sci Proc. 2015;2015:178-82
Wagholikar, K. B., MacLaughlin, K. L., Chute, C. G., Greenes, R. A., Liu, H., & Chaudhry, R. (2015). Granular Quality Reporting for Cervical Cytology Testing. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015178-82.
Wagholikar, Kavishwar B, et al. "Granular Quality Reporting for Cervical Cytology Testing." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 178-82.
Wagholikar KB, MacLaughlin KL, Chute CG, Greenes RA, Liu H, Chaudhry R. Granular Quality Reporting for Cervical Cytology Testing. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:178-82. eCollection 2015. PMID: 26306264; PMCID: PMC4525216.
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A Hybrid Approach to Extracting Disorder Mentions from Clinical Notes.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Wang C, Akella R.
PMID: 26306265
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:183-7. eCollection 2015.

Crucial information on a patient's physical or mental conditions is provided by mentions of disorders, such as disease, syndrome, injury, and abnormality. Identifying disorder mentions is one of the most significant steps in clinical text analysis. However, there are...

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Wang C, Akella R. A Hybrid Approach to Extracting Disorder Mentions from Clinical Notes. AMIA Jt Summits Transl Sci Proc. 2015;2015:183-7
Wang, C., & Akella, R. (2015). A Hybrid Approach to Extracting Disorder Mentions from Clinical Notes. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015183-7.
Wang, Chunye, and Akella, Ramakrishna. "A Hybrid Approach to Extracting Disorder Mentions from Clinical Notes." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 183-7.
Wang C, Akella R. A Hybrid Approach to Extracting Disorder Mentions from Clinical Notes. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:183-7. eCollection 2015. PMID: 26306265; PMCID: PMC4525272.
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Prescription Extraction from Clinical Notes: Towards Automating EMR Medication Reconciliation.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Wang Y, Steinhubl SR, Defilippi C, Ng K, Ebadollahi S, Stewart WF, Byrd RJ.
PMID: 26306266
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:188-93. eCollection 2015.

Medication in for ma lion is one of [he most important clinical data types in electronic medical records (EMR) This study developed an NLP application (PredMED) to extract full prescriptions and their relevant components from a large corpus of...

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Wang Y, Steinhubl SR, Defilippi C, et al. Prescription Extraction from Clinical Notes: Towards Automating EMR Medication Reconciliation. AMIA Jt Summits Transl Sci Proc. 2015;2015:188-93
Wang, Y., Steinhubl, S. R., Defilippi, C., Ng, K., Ebadollahi, S., Stewart, W. F., & Byrd, R. J. (2015). Prescription Extraction from Clinical Notes: Towards Automating EMR Medication Reconciliation. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015188-93.
Wang, Yajuan, et al. "Prescription Extraction from Clinical Notes: Towards Automating EMR Medication Reconciliation." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 188-93.
Wang Y, Steinhubl SR, Defilippi C, Ng K, Ebadollahi S, Stewart WF, Byrd RJ. Prescription Extraction from Clinical Notes: Towards Automating EMR Medication Reconciliation. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:188-93. eCollection 2015. PMID: 26306266; PMCID: PMC4525262.
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Research Data Explorer: Lessons Learned in Design and Development of Context-based Cohort Definition and Selection.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Wilcox A, Vawdrey D, Weng C, Velez M, Bakken S.
PMID: 26306267
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:194-8. eCollection 2015.

Research Data eXplorer (RedX) was designed to support self-service research data queries and cohort identification from clinical research databases. The primary innovation of RedX was the electronic health record view of patient data, to provide better contextual understanding for...

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Wilcox A, Vawdrey D, Weng C, et al. Research Data Explorer: Lessons Learned in Design and Development of Context-based Cohort Definition and Selection. AMIA Jt Summits Transl Sci Proc. 2015;2015:194-8
Wilcox, A., Vawdrey, D., Weng, C., Velez, M., & Bakken, S. (2015). Research Data Explorer: Lessons Learned in Design and Development of Context-based Cohort Definition and Selection. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015194-8.
Wilcox, Adam, et al. "Research Data Explorer: Lessons Learned in Design and Development of Context-based Cohort Definition and Selection." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 194-8.
Wilcox A, Vawdrey D, Weng C, Velez M, Bakken S. Research Data Explorer: Lessons Learned in Design and Development of Context-based Cohort Definition and Selection. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:194-8. eCollection 2015. PMID: 26306267; PMCID: PMC4525259.
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Methods for Linking EHR Notes to Education Materials.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Zheng J, Yu H.
PMID: 26306273
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:209-15. eCollection 2015.

It has been shown that providing patients with access to their own electronic health records (EHR) can enhance their medical understanding and provide clinically relevant benefits. However, languages that are difficult for non-medical professionals to comprehend are prevalent in...

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Zheng J, Yu H. Methods for Linking EHR Notes to Education Materials. AMIA Jt Summits Transl Sci Proc. 2015;2015:209-15
Zheng, J., & Yu, H. (2015). Methods for Linking EHR Notes to Education Materials. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015209-15.
Zheng, Jiaping, and Yu, Hong. "Methods for Linking EHR Notes to Education Materials." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 209-15.
Zheng J, Yu H. Methods for Linking EHR Notes to Education Materials. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:209-15. eCollection 2015. PMID: 26306273; PMCID: PMC4525231.
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Conceptualizing a Novel Quasi-Continuous Bayesian Phylogeographic Framework for Spatiotemporal Hypothesis Testing.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Magee D, Scotch M.
PMID: 26306274
AMIA Jt Summits Transl Sci Proc. 2015 Mar 23;2015:212-6. eCollection 2015.

Continuous phylogeography is a growing approach to studying the spatiotemporal origins of RNA viruses because of its realistic spatial reconstruction advantages over discrete phylogeography. While the generalized linear model has been demonstrated as an effective tool for simultaneously assessing...

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Magee D, Scotch M. Conceptualizing a Novel Quasi-Continuous Bayesian Phylogeographic Framework for Spatiotemporal Hypothesis Testing. AMIA Jt Summits Transl Sci Proc. 2015;2015:212-6
Magee, D., & Scotch, M. (2015). Conceptualizing a Novel Quasi-Continuous Bayesian Phylogeographic Framework for Spatiotemporal Hypothesis Testing. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015212-6.
Magee, Daniel, and Scotch, Matthew. "Conceptualizing a Novel Quasi-Continuous Bayesian Phylogeographic Framework for Spatiotemporal Hypothesis Testing." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 212-6.
Magee D, Scotch M. Conceptualizing a Novel Quasi-Continuous Bayesian Phylogeographic Framework for Spatiotemporal Hypothesis Testing. AMIA Jt Summits Transl Sci Proc. 2015 Mar 23;2015:212-6. eCollection 2015. PMID: 26306274; PMCID: PMC4525269.
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Concept Modeling-based Drug Repositioning.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Patchala J, Jegga AG.
PMID: 26306277
AMIA Jt Summits Transl Sci Proc. 2015 Mar 23;2015:222-6. eCollection 2015.

Our hypothesis is that drugs and diseases sharing similar biomedical and genomic concepts are likely to be related, and thus repositioning opportunities can be identified by ranking drugs based on the incidence of shared similar concepts with diseases and...

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Patchala J, Jegga AG. Concept Modeling-based Drug Repositioning. AMIA Jt Summits Transl Sci Proc. 2015;2015:222-6
Patchala, J., & Jegga, A. G. (2015). Concept Modeling-based Drug Repositioning. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015222-6.
Patchala, Jagadeesh, and Jegga, Anil G. "Concept Modeling-based Drug Repositioning." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 222-6.
Patchala J, Jegga AG. Concept Modeling-based Drug Repositioning. AMIA Jt Summits Transl Sci Proc. 2015 Mar 23;2015:222-6. eCollection 2015. PMID: 26306277; PMCID: PMC4525261.
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Showing 1 to 12 of 606 entries