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Alex is a highly skilled and experienced Data Scientist with expertise centred on the development and application of advanced data-driven methodologies and Artificial Intelligence to advance epidemiological, medical imaging, and personalized medicine research, with a particular focus on resource-constrained communities. His research interests primarily revolve around machine learning and deep learning techniques in the domains of cancer and HIV research, where he has worked on numerous projects. Areas of Expertise:- - Machine Learning - Deep Learning - Natural Language Processing. - Time-Series Analysis. - Health Informatics - AI-assisted medical imaging diagnostics

Publications

  • Investigating automated bird detection from webcams using machine learning
  • Restaurant tip prediction using linear regression
  • Automating Bird Detection Based on Webcam Captured Images using Deep Learning
  • Investigating automated bird detection from webcams using machine learning
  • Adoption of Artificial Intelligence in the Ugandan Health Sector: a review of Literature
  • Digital Outbreak Response System: A Research Study on the Use of the Go.Data Tool for Ebola Outbreak Data Management in Uganda
  • Cervical Cancer Screening: Artificial Intelligence Algorithm For Automatic Diagnostic Support
  • Cervical Cancer Screening: Artificial Intelligence Algorithm for Automatic Diagnostic Support
  • Sentiment Analysis of Social Media Data on Ebola Outbreak Using Deep Learning Classifiers
  • Improving Tuberculosis Detection in Chest X-ray Images through Transfer Learning and Deep Learning: A Comparative Study of CNN Architectures

Alex Mirugwe's public data