Shamimi A Halim

Shamimi binti A Halim is a lecturer at Faculty of Computational and Mathematical Sciences, Universiti Teknologi MARA,Shah Alam, Selangor, Peninsular of Malaysia. She has a background of Computer Sciences majoring Artifical Intelligence. She has a strong interest in intelligent agent, artificial neural network and expert system.


 
 

Rashidi Ahmad

Dr. Rashidi Ahmad is Associate Professor of Emergency Medicine at School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia. His subspecialty is Cardiovascular Emergencies. He is a member of International Editorial Board for Journal of Emergency Medicine, Trauma and Acute Care and African Journal of Pharmacy and Pharmacology


 
 
CHF 70 00 *inkl. MwSt.

SNAKE IDENTIFICATION SYSTEM:

An advantage of Artificial Intelligence Technique

Klappentext des Buches

In general, there are land snakes and sea snakes. Most of the land snakes are non poisonous. There are 3 families of poisonous land snakes – Colubridae, Elapidae and Viperidae.Snake bites by the Elapidae and Viperidae species are common in Malaysia. Envenomation leads to health catastrophe such as respitory arrest, cardiac arrest and continous blood loss. The mainstay of treatment is specific antivenom. In Malaysia, both monovalent and polyvalent antivenom are available. The use of polyvalent antivenom is common because if the difficulty to identify the snake species. The administration of polyvalent antivenom is associated with high incident of allergic reactions and the required dosage is higher than the monovalent. The ability to distinguish the species of snakes has few advantages; i) to differentiate between poisonous and non poisonous snakes, ii) to administer the specific antivenom,and iii) to reduce the incident of antivenom side effects. We created Snake Identification System using Artificial Intelligence technique to assist the physician in making an accurate identification of snake species, hence approriate antivenom administration.

LAP Lambert Academic Publishing
ISBN 978-3-8383-5224-4, Paperback, 120 Seiten

 

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