Now showing items 1-7 of 7

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      An Accuracy Evaluation of Google Translate in Pharmaceutical  Domain  between Thai and Myanmar Languages  

      Collection: Theses (Master's degree) - Health Informatics / วิทยานิพนธ์ – สารสนเทศศาสตร์ทางสุขภาพ
      Type: Thesis
      Narinee PHOSRI; นริณี โพธิ์ศรี; Verayuth Lertnattee; วีรยุทธ์ เลิศนที; Silpakorn University. Pharmacy (Silpakorn University, 17/8/2018)
      Most of laborers immigrated to Thailand were Myanmar. When they were sick, drug stores were often selected to provide a treatment. However, the language was used between pharmacists and these Myanmar patients is the important ...
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      Applying Levenshtein’s Algorithm to Find Homograph and Look-alike Herb Names 

      Collection: Theses (Master's degree) - Health Informatics / วิทยานิพนธ์ – สารสนเทศศาสตร์ทางสุขภาพ
      Type: Thesis
      Thitima PALUEKPET; ฐิติมา ผลึกเพชร; Verayuth Lertnattee; วีรยุทธ์ เลิศนที; Silpakorn University. Pharmacy (Silpakorn University, 12/7/2019)
      This research proposes the application of Levenshtein’s algorithm to compare the similarities of Thai herb name in a database which compiles synonym of Thai common names that mention their scientific names included 1,552 ...
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      Detection of Trade Name, Cosmetic Name, and Ingredients in the Cosmetic Notification Request Form With String Matching Method 

      Collection: Theses (Master's degree) - Health Informatics / วิทยานิพนธ์ – สารสนเทศศาสตร์ทางสุขภาพ
      Type: Thesis
      Jiraporn WONGLERT; จิราภรณ์ วงษ์เลิศ; VERAYUTH LERTNATTEE; วีรยุทธ์ เลิศนที; Silpakorn University. Pharmacy (Silpakorn University, 25/11/2022)
      The objectives of this study were: 1) to detect the prohibited words for cosmetic trade names and cosmetic names in a cosmetic notification request form, and 2) to detect words that can be used as part of cosmetic trade ...
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      Development and Evaluation of a Mobile Application System to Assist in Reading Drug Labels for Elderly People 

      Collection: Theses (Master's degree) - Health Informatics / วิทยานิพนธ์ – สารสนเทศศาสตร์ทางสุขภาพ
      Type: Thesis
      ณัฐกรณ์ ศรีบุรมย์ (Silpakorn University, 4/7/2023)
      Objective: To develop an application on a mobile phones to assist in the reading of drug labels for the elderly people, and to evaluate the application. Methods: This research consisted of 2 parts: 1) application system ...
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      Evaluations of Health Attitude-related Twitter Messages on Covid-19 Widespread Situation for Sentiment Analysis Using Supervised Machine Learning Algorithms 

      Collection: Theses (Master's degree) - Health Informatics / วิทยานิพนธ์ – สารสนเทศศาสตร์ทางสุขภาพ
      Type: Thesis
      เทวัญ เทียนวรรณ (Silpakorn University, 4/7/2023)
      The objectives of this research were to investigate models of supervised machine learnings for classification of Twitter’s messages with the contents on opinions regarding Covid-19 vaccines in terms of effectiveness, adverse ...
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      Using association rule mining for finding drug-drug interaction patterns of warfarin for improving computerized physician order entry. 

      Collection: Theses (Master's degree) - Health Informatics / วิทยานิพนธ์ – สารสนเทศศาสตร์ทางสุขภาพ
      Type: Thesis
      Aliyah FAMITYNOND; เอลียา ฟ้ามิตินนท์; VERAYUTH LERTNATTEE; วีรยุทธ์ เลิศนที; Silpakorn University. Pharmacy (Silpakorn University, 1/7/2022)
      At present, patients have the opportunity to be treated by many doctors. This may be a risk of prescribing potential drug-drug interactions. Warfarin is particularly known for its interactions with many drugs and is widely ...
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      Using Machine Learning for Detection of Illegal Food Advertising Text 

      Collection: Theses (Master's degree) - Health Informatics / วิทยานิพนธ์ – สารสนเทศศาสตร์ทางสุขภาพ
      Type: Thesis
      Wannakan NITIROTSUPHAPHAK; วรรณกัญญ์ นิธิโรจน์ศุภภัค; VERAYUTH LERTNATTEE; วีรยุทธ์ เลิศนที; Silpakorn University. Pharmacy (Silpakorn University, 10/7/2020)
      The objective of this research is to find the appropriate model from machine learning techniques for classifying food advertising texts to legal and illegal texts. A set of 400 food advertising texts was divided into 200 ...


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