Mr. Christopher Oyuech Profile
Lecturer in Computer Science, School of Science Engineering and Health.
Mr. Christopher Oyuech
Lecturer in Computer Science, School of Science Engineering and Health.
4
Publications
0
Activities
Info
| Name: | Mr. Christopher Oyuech |
|---|---|
| Mobile: | +254 709 972 000 |
| E-mail: | coyuech@daystar.ac.ke |
| Website: | None |
| Updated: | 29 Nov, 2025 |
Sections
Design your apps in your own way
15 Dec 2021
Smartest Applications for Business
28 Nov 2021
How to get creative in your work
21 Nov 2021
About
I hold a Bachelor of Science in Computer Science from Kabarak University and a Masters of Science in Computer Science from the University of Nairobi.
I am currently a Ph.D. student in Computer Science at the University of Nairobi.
I have certification in Microsoft Certified Technologist Specialist (MCTS) and Microsoft Certified windows vista Configuration. I also have Certificates in Cisco Certified Network Associate (CCNA) from Strathmore University.
Academic Qualification
Recent Publications
Teaches
- Data structure and Algorithm
- Artificial intelligence
- Structured programming
- Animation and Design
- Hardware support and Maintenace
- Computer Graphics
- Robotics
- Database design and development
Publications
Journals
A Decision Support Model for Predicting Avoidable Re-Hospitalization of Breast Cancer Patients in Kenyatta National Hospital https://www.scirp.org/journal/paperinformation.aspx?paperid=118913DOI: 10.4236/jsea.2022.158017Journal of Software Engineering and Applications > Vol.15 No.8, August 2022
Published2022
Link:
Book Chapters
A Clinical Decision Support Model for Predicting Avoidable Re-hospitalization of Breast Cancer Patients in Kenyatta National Hospital
Published2024
Link: https://doi.org/10.9734/bpi/mcscd/v2/1022
Towards an Effective Communication in Kenyan Long-Term Disease Patients' Care via Cybernetic- A Systematic Review
Published2024
Link: https://doi.org/10.9734/bpi/strufp/v9/1020
Refereed Journal Articles
Towards an Effective Communication in the Care of Patients with Long Term Disease in Kenya via Cybernetic—A Systematic Review
Published2023
Link: https://doi.org/10.4236/ojapps.2023.1311164
Activities
No activities to show
Research Interests
My research interest is in designing and developing model applications for non-invasive Breast cancer prediction, diagnosis, and staging models.
A Decision Support Model for Predicting Avoidable Re-Hospitalization of Breast Cancer Patients in Kenyatta National Hospital(Published)
A decision support model for non-invasive Prediction, Diagnosis, and Staging of Breast Cancer using Clinical Variants and Non-Clinical Salivary biomarker Bitmaps graphs in Kenyatta National Hospital, Kenya(Work in progress).