The neglected tropical diseases (NTDs) are infectious diseases that principally impact the world's poorest people. They are found in several countries in Africa, Asia, and Latin America. NTDs are especially common in tropical areas where people do not have access to clean water or safe ways to dispose of human waste. They are among the most common conditions globally, affecting approximately one billion people. Many NTDs have long-term consequences, such as visual and physical impairments. As a result, people with NTDs may have difficulties in carrying out activities or participating in society - in other words, NTDs can cause disabilities. This research work will enhance a better understanding of risk factors that could serve as awareness about the disease and a better way of controlling the Neglected Tropical Diseases (NTDs) using a Data Mining Technology. The aim of this research is to develop a system for the controlling schistosomiasis a variant of NTDs in Taraba state Nigeria using the C4.5 decision tree with WEKA 3.6 software. Primary data were collected from Specialist Hospital, Jalingo and Primary healthcare centres across local governments in Taraba State Nigeria.
BT - International Journal of Current Researches in Sciences, Social Sciences and Languages IS - 4 LA - Eng N2 -The neglected tropical diseases (NTDs) are infectious diseases that principally impact the world's poorest people. They are found in several countries in Africa, Asia, and Latin America. NTDs are especially common in tropical areas where people do not have access to clean water or safe ways to dispose of human waste. They are among the most common conditions globally, affecting approximately one billion people. Many NTDs have long-term consequences, such as visual and physical impairments. As a result, people with NTDs may have difficulties in carrying out activities or participating in society - in other words, NTDs can cause disabilities. This research work will enhance a better understanding of risk factors that could serve as awareness about the disease and a better way of controlling the Neglected Tropical Diseases (NTDs) using a Data Mining Technology. The aim of this research is to develop a system for the controlling schistosomiasis a variant of NTDs in Taraba state Nigeria using the C4.5 decision tree with WEKA 3.6 software. Primary data were collected from Specialist Hospital, Jalingo and Primary healthcare centres across local governments in Taraba State Nigeria.
PY - 2023 SP - 27 EP - 34 T2 - International Journal of Current Researches in Sciences, Social Sciences and Languages TI - A Data Mining Technology for Controlling Neglected Tropical Diseases (Ntds) in Taraba State, Nigeria UR - https://www.ijcrsssl.com/papers/v3/i4/IJCRSSSLV3I40003.pdf VL - 3 SN - 2319-7579 ER -