No detailed description available for "Applied Machine Learning for Healthcare and Life Sciences using AWS".
Sprache
Verlagsort
Basel/Berlin/Boston
Großbritannien
Zielgruppe
Editions-Typ
Produkt-Hinweis
Dateigröße
ISBN-13
978-1-80461-919-3 (9781804619193)
Schweitzer Klassifikation
Ratan Ujjwal:
Ujjwal is a Principal AI/Machine Learning Solutions Architect at AWS where he leads the machine learning solutions architecture group dedicated to healthcare and life sciences. Over the years, Ujjwal has been a thought leader in the healthcare and life sciences industry, helping multiple Global Fortune 500 organizations achieve their innovation goals by adopting machine learning. His work involving the analysis of medical imaging, unstructured clinical text and genomics has helped AWS build products and services that provide highly personalized and precisely targeted diagnostics and therapeutics. Ujjwal's work has also been featured in multiple global conferences, peer-reviewed publications or technical and scientific blogs.
Table of Contents - Introducing Machine Learning and the AWS Machine Learning Stack
- Exploring Key AWS Machine Learning Services for Healthcare and Life Sciences
- Machine Learning for Patient Risk Stratification
- Using Machine Learning to Improve Operational Efficiency for Healthcare Providers
- Implementing Machine Learning for Healthcare Payors
- Implementing Machine Learning for Medical Devices and Radiology Images
- Applying Machine Learning to Genomics
- Applying Machine Learning to Molecular Data
- Applying Machine Learning to Clinical Trials and Pharmacovigilance
- Utilizing Machine Learning in the Pharmaceutical Supply Chain
- Understanding Common Industry Challenges and Solutions
- Understanding Current Industry Trends and Future Applications
