Machine Learning and Omic Data for Prediction of Health and Chronic Diseases
Encyclopedia of Bioinformatics and Computational Biology, Elsevier, 2025
- Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
- Basım Tarihi: 2025
- Doi Numarası: 10.1016/b978-0-323-95502-7.00284-0
- Yayınevi: Elsevier
- Anahtar Kelimeler: Chronic diseases, Health prediction, Machine learning, Omic data
- Orta Doğu Teknik Üniversitesi Adresli: Hayır
Özet
Machine learning (ML) combined with diverse omic datasets offers transformative potential for predicting health outcomes and chronic diseases. By leveraging diverse omic data, ML models can identify biomarkers, enhance diagnostic accuracy, and enable personalized treatments. This chapter introduces the fundamental concepts of ML, key omic data sources, and the challenges associated with ML and omic-based disease prediction. Advances in technology, large-scale datasets, interpretable ML algorithms, and the digitization of healthcare are poised to revolutionize medical science, paving the way for precision medicine and early disease detection.