Browsing by Author "LAWAN SRATTHAPHUT"
Now showing items 1-4 of 4
-
Applying Association Rule Learning and Principal Component Analysis to Identify Relating Factors on Rational Antibiotic Prescribing Decisions for Upper Respiratory Tract Infections in Outpatient.
Collection: Theses (Master's degree) - Health Informatics / วิทยานิพนธ์ – สารสนเทศศาสตร์ทางสุขภาพType: ThesisAnantaya JAIDEE; อนันตญา ใจดี; LAWAN SRATTHAPHUT; ลาวัลย์ ศรัทธาพุทธ; Silpakorn University. Pharmacy (Silpakorn University, 2/7/2021)Objective: To investigate relating factors on rational antibiotic prescribing decisions for upper respiratory tract infections in outpatient Inburi hospital Singburi province and use the results of the study to suggest ... -
The development of AI Chatbot as inquiry tool for interactions between herbs and cytochrome P450
Collection: Theses (Master's degree) - Health Informatics / วิทยานิพนธ์ – สารสนเทศศาสตร์ทางสุขภาพType: Thesisพิชญา สมานมิตร (Silpakorn University, 28/6/2024)The purpose of this study is to develop an AI chatbot as a querying tool for interactions between herbal medicines and Cytochrome P450 (CYP450), and to assess the accuracy and suitability of using the AI chatbot for querying ... -
Development of Ontology as a Supporting Tool for Thai Drug Code Mapping
Collection: Theses (Master's degree) - Health Informatics / วิทยานิพนธ์ – สารสนเทศศาสตร์ทางสุขภาพType: ThesisChanawee SURACHATRI; ชนวีร์ สุรชาตรี; LAWAN SRATTHAPHUT; ลาวัลย์ ศรัทธาพุทธ; Silpakorn University. Pharmacy (Silpakorn University, 12/6/2020)To study the domains of structure of Thai drug codes, and to develop the ontology as a tool for Thai drug code mapping. Methods: The researchers collected 8 standard drug codes, including 1. Thai medicines terminology ... -
PREDICTION OF SUICIDAL BEHAVIOR AMONG SUBSTANCE ABUSERS USING ARTIFICIAL NEURAL NETWORK : A CASE STUDY OF PRINCESS MOTHER NATIONAL INSTITUTE ON DRUG ABUSE TREATMENT
Collection: Theses (Master's degree) - Health Informatics / วิทยานิพนธ์ – สารสนเทศศาสตร์ทางสุขภาพType: Thesisสุทธิพันธ์ สุริยะ (Silpakorn University, 10/7/2020)The purpose of this study were 1) to create an effective prediction model for classification of suicidal behavior in substance abusers based on socio-demographic data and clinical data and 2) identify risk and protective ...