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James Ben Hayfron-Acquah
Department Of Computer Science, Knust, Kumasi, Ghana
The Integration Level Of Ict At The Hohoe Municipal Hospital In The Volta Region Of Ghana
The ultimate aim of this research was to investigate the integration level of ICT into healthcare delivery at the Hohoe Municipal Hospital in the Volta Region of Ghana. This research was carried out using 60 clinicians and 90 patients. The following key areas were looked at: available technological tools, the benefits of ICT integration, preparedness and competency level of clinicians

James Ben Hayfron-Acquah
Department Of Computer Science, Knust, Kumasi, Ghana
A Neuro-fuzzy Expert System For Malaria Diagnosis – The Machine Learning Approach (case Study: Accra Polyclinic)
This paper presents the use of Adaptive Neuro-Fuzzy Inference System (ANFIS) which provides a better option for Malaria diagnosis than the traditional diagnosis method which is characterized by suggestive guess work and observation of patients by doctors. Diagnosis of malaria in many cases has not been accurate by most physicians owing to factors such as tiredness and rashness and so

James Ben Hayfron-Acquah
Department Of Computer Science, Knust, Kumasi, Ghana
Design Of An Enhanced Cryptographic Hash Function – Digest Length 512 Bits
Privacy and data integrity continue to be major issues in Computer Science. Most people have email accounts and other accounts which they access with their usernames and passwords. Also in everyday life people exchange data with one another. Cryptographic Hash Functions (CHFs) accept variable length of messages and transform them into fixed length hash

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