A Pharmacoinformatic Prediction Model For Adverse Drug Reactions

Information technology has become part of all kinds of sciences. Research scientists along with the academicians are seriously thinking about the need of information technology in pharmaceutical sciences including clinical pharmacy and pharmaceutical care. Information technology has been applied...

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Main Author: Omar, Moayyad Jamal Abdel Jabbar Al
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:http://eprints.usm.my/42297/
Abstract Abstract here
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author Omar, Moayyad Jamal Abdel Jabbar Al
author_facet Omar, Moayyad Jamal Abdel Jabbar Al
author_sort Omar, Moayyad Jamal Abdel Jabbar Al
description Information technology has become part of all kinds of sciences. Research scientists along with the academicians are seriously thinking about the need of information technology in pharmaceutical sciences including clinical pharmacy and pharmaceutical care. Information technology has been applied indirectly in the medication discovery process and patient care for a long period of time. Pharmacy Informatics involves the study, design, and implementation of information and information systems in Pharmacy. The development of computerized prescriptions and laboratory databases has greatly enhanced the ability of institutions and organizations to screen for known adverse drug reactions (ADR).
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spelling usm-422972019-04-12T05:26:50Z http://eprints.usm.my/42297/ A Pharmacoinformatic Prediction Model For Adverse Drug Reactions Omar, Moayyad Jamal Abdel Jabbar Al RS1-441 Pharmacy and materia medica Information technology has become part of all kinds of sciences. Research scientists along with the academicians are seriously thinking about the need of information technology in pharmaceutical sciences including clinical pharmacy and pharmaceutical care. Information technology has been applied indirectly in the medication discovery process and patient care for a long period of time. Pharmacy Informatics involves the study, design, and implementation of information and information systems in Pharmacy. The development of computerized prescriptions and laboratory databases has greatly enhanced the ability of institutions and organizations to screen for known adverse drug reactions (ADR). 2010-08 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/42297/1/Moayyad_Jamal_Abdel_Jabbar_Al_Omar24.pdf Omar, Moayyad Jamal Abdel Jabbar Al (2010) A Pharmacoinformatic Prediction Model For Adverse Drug Reactions. PhD thesis, Universiti Sains Malaysia.
spellingShingle RS1-441 Pharmacy and materia medica
Omar, Moayyad Jamal Abdel Jabbar Al
A Pharmacoinformatic Prediction Model For Adverse Drug Reactions
thesis_level PhD
title A Pharmacoinformatic Prediction Model For Adverse Drug Reactions
title_full A Pharmacoinformatic Prediction Model For Adverse Drug Reactions
title_fullStr A Pharmacoinformatic Prediction Model For Adverse Drug Reactions
title_full_unstemmed A Pharmacoinformatic Prediction Model For Adverse Drug Reactions
title_short A Pharmacoinformatic Prediction Model For Adverse Drug Reactions
title_sort pharmacoinformatic prediction model for adverse drug reactions
topic RS1-441 Pharmacy and materia medica
url http://eprints.usm.my/42297/
work_keys_str_mv AT omarmoayyadjamalabdeljabbaral apharmacoinformaticpredictionmodelforadversedrugreactions
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