CrossRef Text and Data Mining
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Using Text Mining to Identify Trends in Oropharyngeal Dysphagia Research: A Proof of Concept
Rahul Krishnamurthy, Radish Kumar Balasubramanium
Commun Sci Disord. 2019;24(1):234-243.   Published online 2019 March 31    DOI: https://doi.org/10.12963/csd.19579

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Using Text Mining Techniques to Identify Research Trends: A Case Study of Design Research
Applied Sciences. 2017;7(4):401   Crossref logo
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Trends in Reporting of Swallowing Outcomes in Oropharyngeal Cancer Studies: A Systematic Review
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Using text-mining techniques in electronic patient records to identify ADRs from medicine use
British Journal of Clinical Pharmacology. 2012;73(5):674-684   Crossref logo
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Efficacy of behavioral treatment for oropharyngeal dysphagia
Dysphagia. 1995;10(4):259-262   Crossref logo
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Oropharyngeal dysphagia due to iatrogenic neurological dysfunction
Dysphagia. 1995;10(4):248-254   Crossref logo
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A Screening Procedure for Oropharyngeal Dysphagia
Dysphagia. 1999;14(1):44-51   Crossref logo
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Laryngeal Vibration Increases Spontaneous Swallowing Rates in Chronic Oropharyngeal Dysphagia: A Proof-of-Principle Pilot Study
Dysphagia. 2018;   Crossref logo
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Effect of a Minimal-Massive Intervention in Hospitalized Older Patients with Oropharyngeal Dysphagia: A Proof of Concept Study (1)
The journal of nutrition, health & aging. 2018;22(8):1018-1018   Crossref logo
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Effect of a Minimal-Massive Intervention in Hospitalized Older Patients with Oropharyngeal Dysphagia: A Proof of Concept Study (1)
The journal of nutrition, health & aging. 2018;22(8):1019-1020   Crossref logo
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Effect of a Minimal-Massive Intervention in Hospitalized Older Patients with Oropharyngeal Dysphagia: A Proof of Concept Study
The journal of nutrition, health & aging. 2018;22(6):739-747   Crossref logo
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