Predicting Relapse in Pediatric Patients with Acute Lymphoblastic Leukemia Undergoing Stem Cell Transplant Using Interpretable Machine Learning—Applying Machine Learning Beyond 'Big Data' Article Swipe

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David C. Shyr , Bing Zhang , Gopin Saini , Simon Brewer ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.2139/ssrn.4055801

Related Topics

Acute Lymphoblastic Leukemia

Medicine

Machine Learning

Oncology

Artificial Intelligence

Concepts

Lymphoblastic Leukemia Medicine Machine learning Oncology Artificial intelligence Stem cell Internal medicine Computer science Leukemia Biology Genetics

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Type: article
Language: en
Landing Page: https://doi.org/10.2139/ssrn.4055801
OA Status: green
Cited By: 2
Related Works: 10
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DOI: https://doi.org/10.2139/ssrn.4055801

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Title: Predicting Relapse in Pediatric Patients with Acute Lymphoblastic Leukemia Undergoing Stem Cell Transplant Using Interpretable Machine Learning—Applying Machine Learning Beyond 'Big Data'

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Type: article

OpenAlex work type
Language: en

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Publication year: 2022

Year of publication
Publication date: 2022-01-01

Full publication date if available
Authors: David C. Shyr, Bing Zhang, Gopin Saini, Simon Brewer

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Landing page: https://doi.org/10.2139/ssrn.4055801

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Open access: Yes

Whether a free full text is available
OA status: green

Open access status per OpenAlex
OA URL: https://doi.org/10.2139/ssrn.4055801

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Concepts: Lymphoblastic Leukemia, Medicine, Machine learning, Oncology, Artificial intelligence, Stem cell, Internal medicine, Computer science, Leukemia, Biology, Genetics

Top concepts (fields/topics) attached by OpenAlex
Cited by: 2

Total citation count in OpenAlex
Citations by year (recent): 2023: 1, 2022: 1

Per-year citation counts (last 5 years)
Related works (count): 10

Other works algorithmically related by OpenAlex

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