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Nathan Radakovich

Cleveland Clinic Lerner College of Medicine

17

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74

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A Geno-Clinical Decision Model for the Diagnosis of Myelodysplastic Syndromes.

2021 Blood Advances
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Machine Learning Models to Predict Major Adverse Cardiovascular Events After Orthotopic Liver Transplantation: A Cohort Study

2021 Journal of Cardiothoracic and Vascular Anesthesia
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Multicenter Validation of a Personalized Model to Predict Hypomethylating Agent Response in Myelodysplastic Syndromes (MDS)

2020 Blood
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Machine learning in haematological malignancies

2020 The Lancet Haematology
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Personalized Transcriptomic Analyses Identify Unique Signatures That Correlate with Genomic Subtypes in Acute Myeloid Leukemia (AML) Using Explainable Artificial Intelligence

2020 Blood
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A Personalized Clinical-Decision Tool to Improve the Diagnostic Accuracy of Myelodysplastic Syndromes

2020 Blood
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Machine Learning in Oncology: What Should Clinicians Know?

2020
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The Impact of Clinical Decision Support Alerts on Clostridioides difficile Testing: A Systematic Review

2020 Clinical Infectious Diseases
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Artificial Intelligence in Hematology: Current Challenges and Opportunities.

2020 Current Hematologic Malignancy Reports
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Genotype-Phenotype Correlations in Patients with Myeloid Malignancies Using Explainable Artificial Intelligence

2020 Blood
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