Results 301 to 310 of about 4,674,587 (322)

Unsupervised Classification for Skewed and Mixed-Type Data

2023
Clustering, also known as unsupervised classification, is a foundational machine learning technique and is used to find underlying group structures in data. There are many well-established model-based techniques to analyze either categorical or continuous data in the clustering paradigm. However, there is a relative paucity of work for mixed-type data,
openaire   +1 more source

An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy, Donna R Rivera, Jennifer L Lund, Msph   +2 more
exaly  

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel, Kimberly D Miller, Nikita Sandeep Wagle   +2 more
exaly  

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

Ca-A Cancer Journal for Clinicians, 2020
H S L Jim, Aasha I Hoogland, Naomi C Brownstein   +2 more
exaly  

Cancer statistics, 2020

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

Cancer statistics, 2019

Ca-A Cancer Journal for Clinicians, 2019
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal Dvm   +2 more
exaly  

Colorectal cancer statistics, 2020

Ca-A Cancer Journal for Clinicians, 2020
Rebecca L Siegel, Kimberly D Miller, Stacey A Fedewa   +2 more
exaly  

Cancer statistics, 2018

Ca-A Cancer Journal for Clinicians, 2018
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal Dvm   +2 more
exaly  

Cancer statistics in China, 2015

Ca-A Cancer Journal for Clinicians, 2016
Rongshou Zheng, Peter D Baade, Siwei Zhang   +2 more
exaly  

Cancer statistics, 2016

Ca-A Cancer Journal for Clinicians, 2016
Rebecca L Siegel, Kimberly D Miller
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