Statistical Methods to Enhance Clinical Prediction with High-dimensional Data and Ordinal Response
Author | : |
Publisher | : |
Total Pages | : 118 |
Release | : 2015 |
ISBN-10 | : OCLC:931877236 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Statistical Methods to Enhance Clinical Prediction with High-dimensional Data and Ordinal Response written by and published by . This book was released on 2015 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advancing technology has enabled us to study the molecular configuration of single cells or whole tissue samples. Molecular biology produces vast amounts of high-dimensional omics data at continually decreasing costs, so that molecular screens are increasingly often used in clinical applications. Personalized diagnosis or prediction of clinical treatment outcome based on high-throughput omics data are modern applications of machine learning techniques to clinical problems. In practice, clinical parameters, such as patient health status or toxic reaction to therapy, are often measured on an ...