Research
Design of Automated Database System for Storage and Management of Reports on Mycotoxins Contaminated Agricultural Products in Sub-Saharan Africa
This paper discusses the idea and the design of an automated system for storage and management of mycotoxins reports for decision making. Mycotoxins are poisonous chemical compounds produced by certain fungi. Mycotoxins are fungal secondary metabolites that contaminate various feedstuffs and agricultural crops. The contamination of food by mycotoxins can occur before production, during storage, processing, transportation or marketing of the food products. High temperature, moisture content and water activity are among the factors that facilitate the production of mycotoxins in food. The five major mycotoxins produced in food and feedstuffs are Aflatoxins, ochratoxins, fumonisins, deoxynivalenol and zearalenone
Review on the Application of Machine Learning to Cancer Research
This study reviews the application of machine learning through different algorithms in cancer research. In recent years, the introduction of machine learning has been an exciting tool that enhances cancer research which has improved statistical method of speeding up both fundamental and applied research considerably. The application of machine learning goes around in predicting the future events and outcomes with the available datasets. There is an indication that on yearly bases up to 14 million new cancer patients are diagnosed by Pathologists round the world, and they are people whose conditions are uncertain. Definitely, the diagnoses and prognoses of cancer have been performed by Pathologists. The research on machine learning flourished in 1980s and 1990s and information become digitalized through improved artificial network connectivity and computational power.
