A novel analytical framework for risk stratification of real‐world data using machine learning: A small cell lung cancer study-Reference-Cited by-同舟云学术

A novel analytical framework for risk stratification of real‐world data using machine learning: A small cell lung cancer study

Published:2022-07-29 Issue:10 Volume:15 Page:2437-2447
ISSN:1752-8054
Container-title:Clinical and Translational Science
language:en
Short-container-title:Clinical Translational Sci

Author:

Marzano Luca¹,Darwich Adam S.¹,Tendler Salomon²,Dan Asaf²,Lewensohn Rolf²,De Petris Luigi²,Raghothama Jayanth¹,Meijer Sebastiaan¹

Affiliation:

1. Division of Health Informatics and Logistics School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), KTH Royal Institute of Technology Huddinge Sweden

2. Department of Oncology‐Pathology Karolinska Institutet and the Thoracic Oncology Center, Karolinska University Hospital Stockholm Sweden

Funder

Cancerfonden

Kungliga Tekniska Högskolan

Publisher

Wiley

Subject

General Pharmacology, Toxicology and Pharmaceutics,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cts.13371

Reference50 articles.

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