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AI Data Readiness Framework

The term “AI-ready” for data can be used to describe a single dataset, a single data repository, multiple repositories within a data ecosystem, or data from a given organization. This project tackled one important aspect of data being AI-ready: barriers that may exist within collections of data that would hinder the use of those data for the creation ...
openaire   +1 more source

Innovations in research and clinical care using patient‐generated health data

Ca-A Cancer Journal for Clinicians, 2020
H S L Jim   +2 more
exaly  

Cancer statistics, 2020

Ca-A Cancer Journal for Clinicians, 2020
Rebecca L Siegel, Kimberly D Miller
exaly  

Data Science und AI

Digitale Welt, 2020
Tom Becker   +3 more
openaire   +1 more source

THE AI DATA SYNDROME!

International Journal of Education, Business and Economics Research
Data lies at the heart of our artificial intelligence revolution. Massive volumes of data hold the key to the analytical processes that induce artificial intelligence outcomes. Data is drawn from a wide variety of sources. Yet data are neither homogeneous, generic nor mailable! Data are amorphous whole and carry with it a myriad of problems. This could
openaire   +1 more source

Cancer statistics, 2019

Ca-A Cancer Journal for Clinicians, 2019
Rebecca L Siegel   +2 more
exaly  

Big Data and AI

2019
Saswat Sarangi, Pankaj Sharma
openaire   +1 more source

Colorectal cancer statistics, 2020

Ca-A Cancer Journal for Clinicians, 2020
Rebecca L Siegel   +2 more
exaly  

Cancer statistics, 2018

Ca-A Cancer Journal for Clinicians, 2018
Rebecca L Siegel   +2 more
exaly  

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