Understanding the Role of Machine Learning in Early Prediction of Diabetes Onset

EasyChair Preprint 13739

Abstract

Diabetes is a chronic metabolic disorder that affects millions of people worldwide and poses significant health challenges. Early prediction of diabetes onset plays a crucial role in improving patient outcomes and reducing the burden on healthcare systems. Machine learning, a subfield of artificial intelligence, has emerged as a powerful tool in healthcare, offering potential solutions for early detection and intervention. This paper provides an overview of the role of machine learning in predicting the onset of diabetes. It explores the types of diabetes, risk factors, and the importance of early detection.

The paper delves into the principles of machine learning and its applications in healthcare. It highlights the advantages of using machine learning techniques for early prediction and emphasizes the need for accurate and reliable prediction models. The process of developing machine learning models for diabetes prediction, including data collection and preprocessing, feature selection, and supervised learning algorithms, is discussed in detail.

Various data sources for training machine learning models are explored, including electronic health records, medical imaging, wearable devices, and genetic data. The challenges and limitations associated with implementing machine learning in healthcare, such as data privacy, interpretability, and ethical considerations, are also addressed.

Furthermore, the paper discusses the future implications and potential impact of early prediction of diabetes onset on healthcare outcomes. It emphasizes the integration of machine learning into clinical practice and the importance of collaborations between healthcare professionals and data scientists.

Keyphrases: Bioinformatics, DNA sequencing, genetic data, genetic variations, genomic data, personal genomics, variant calling

@booklet{EasyChair:13739,
  author    = {Elizabeth Henry},
  title     = {Understanding the Role of Machine Learning in Early Prediction of Diabetes Onset},
  howpublished = {EasyChair Preprint 13739},
  year      = {EasyChair, 2024}}