Kassim Tawiah
Biographic Data
| ID | 7548369 |
|---|---|
| NAME | Kassim Tawiah |
| GIVEN NAMES | Kassim |
| FAMILY NAME | Tawiah |
| SIGNATURE | TAWIAH K |
| AFFILIATIONS | Kwame Nkrumah University of Science and Technology |
| ORCID | 0000-0003-0195-225X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Understanding sanitation behaviour in Ghana
Access to adequate sanitation remains a critical challenge in Ghana, with significant disparities driven by socio-economic and geographical factors. This study examines the determinants of sanitation facility choices among Ghanaian women, focusing on wealth status and place of residence. Using data from the last four Ghana Demographic and Health Surveys (2003, 2008, 2014, and 2022), covering responses from 33,092 women, we apply the multipopulati…
A Novel Study on Machine Learning Algorithm-Based Cardiovascular Disease Prediction
Cardiovascular disease (CVD) is a life-threatening disease rising considerably in the world. Early detection and prediction of CVD as well as other heart diseases might protect many lives. This requires tact clinical data analysis. The potential of predictive machine learning algorithms to develop the doctor’s perception is essential to all stakeholders in the health sector since it can augment the efforts of doctors to have a healthier climate f…
Confirmed Malaria Cases in Children under Five Years
Tropical and potentially fatal malaria is brought on by the parasite Plasmodium spp which spreads through infected female anopheles mosquitoes within the human populations. In Ghana, malaria is endemic and perennial, with distinct seasonal fluctuations in the northern part. Children aged below five years are among the population most vulnerable to malaria in Ghana. This study’s goal is to establish how suspected malaria cases, tested malaria case…
Comparing Bayesian and Maximum Likelihood Methods in Structural Equation Modelling of University Student Satisfaction
Students’ satisfaction in the university environment is essential to both the student (customer) and management of the university. Satisfied students are determined to succeed in their academics, and this sustains their loyalty and trust, which results in an improved image and esteem of the university. This study examined the level of students’ satisfaction with campus facilities and infrastructure, campus social life, student support services, a…
No prominent works on this page.
Comparing Bayesian and Maximum Likelihood Methods in Structural Equation Modelling of University Student Satisfaction
Students’ satisfaction in the university environment is essential to both the student (customer) and management of the university. Satisfied students are determined to succeed in their academics, and this sustains their loyalty and trust, which results in an improved image and esteem of the university. This study examined the level of students’ satisfaction with campus facilities and infrastructure, campus social life, student support services, a…
A Novel Study on Machine Learning Algorithm-Based Cardiovascular Disease Prediction
Cardiovascular disease (CVD) is a life-threatening disease rising considerably in the world. Early detection and prediction of CVD as well as other heart diseases might protect many lives. This requires tact clinical data analysis. The potential of predictive machine learning algorithms to develop the doctor’s perception is essential to all stakeholders in the health sector since it can augment the efforts of doctors to have a healthier climate f…
Confirmed Malaria Cases in Children under Five Years
Tropical and potentially fatal malaria is brought on by the parasite Plasmodium spp which spreads through infected female anopheles mosquitoes within the human populations. In Ghana, malaria is endemic and perennial, with distinct seasonal fluctuations in the northern part. Children aged below five years are among the population most vulnerable to malaria in Ghana. This study’s goal is to establish how suspected malaria cases, tested malaria case…
Understanding sanitation behaviour in Ghana
Access to adequate sanitation remains a critical challenge in Ghana, with significant disparities driven by socio-economic and geographical factors. This study examines the determinants of sanitation facility choices among Ghanaian women, focusing on wealth status and place of residence. Using data from the last four Ghana Demographic and Health Surveys (2003, 2008, 2014, and 2022), covering responses from 33,092 women, we apply the multipopulati…
Medicine (3 works) · Computer Science (2 works) · Algorithm (1 work) · Anopheles (1 work) · Applied Psychology (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare (1 work) · Business (1 work) · Child Nutrition and Water Access (1 work) · Confusion matrix (1 work)