JOURNAL ARTICLE
Multimodal survival prediction in advanced pancreatic cancer using machine learning
Julius KeylStefan KasperMarcel WieswegJulian GötzeMartin SchönrockMarianne SinnAaron BergerE. NascaKarina KostbadeBrigitte SchumacherP. M. MarkusDavid AlbersJürgen TreckmannKurt Werner SchmidHans‐Ulrich SchildhausJens T. SivekeMartin SchülerJens Kleesiek
Year: 2022 Journal: ESMO Open Vol: 7 (5)Pages: 100555-100555 Publisher: Elsevier BV
Abstract
The combination of multimodal data and machine-learning algorithms holds potential for personalized prognostication in advanced PDAC already at diagnosis.
Keywords:
Pancreatic cancer Artificial intelligence Cancer Computer science Machine learning Medicine Internal medicine
Metrics
40
Cited By
5.96
FWCI (Field Weighted Citation Impact)
66
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Pancreatic and Hepatic Oncology Research
Health Sciences → Medicine → Oncology
Radiomics and Machine Learning in Medical Imaging
Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging
AI in cancer detection
Physical Sciences → Computer Science → Artificial Intelligence
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