Applied Machine Learning for Healthcare and Life Sciences Using AWS Transformational AI Implementations for Biotech, Clinical, and Healthcare Organizations

Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizations Key Features Learn about healthcare industry challenges and how machine learning can solve them Explor...

Descripción completa

Detalles Bibliográficos
Autor principal: Ratan, Ujjwal (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited 2022.
Edición:1st ed
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009707507806719
Tabla de Contenidos:
  • 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.