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Radakovich, Nathan A.
17  results:
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1

A machine learning model of response to hypomethylating age..:

Radakovich, Nathan ; Sallman, David A. ; Buckstein, Rena...
iScience.  25 (2022)  10 - p. 104931 , 2022
Link: https://doi.org/10.1016/..
 
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2

Why Machine Learning Should Be Taught in Medical Schools:

Nagy, Matthew ; Radakovich, Nathan ; Nazha, Aziz
Medical Science Educator.  32 (2022)  2 - p. 529-532 , 2022
Link: https://doi.org/10.1007/..
 
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3

The future of artificial intelligence in healthcare:

, In: Machine Learning in Cardiovascular Medicine,
Radakovich, Nathan ; Nazha, Aziz - p. 371-394 , 2021
Link: https://doi.org/10.1016/..
 
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4

Contributors:

, In: Machine Learning in Cardiovascular Medicine,
Aguirre, Aaron D. ; Al-Mallah, Mouaz H. ; Al Ani, Jamal... - p. xvii-xxii , 2021
Link: https://doi.org/10.1016/..
 
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5

A geno-clinical decision model for the diagnosis of myelody..:

Radakovich, Nathan ; Meggendorfer, Manja ; Malcovati, Luca...
Blood Advances.  5 (2021)  21 - p. 4361-4369 , 2021
Link: https://doi.org/10.1182/..
 
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6

Personalized Prediction of Hospital Mortality in COVID-19–P..:

Rozenbaum, Daniel ; Shreve, Jacob ; Radakovich, Nathan...
Mayo Clinic Proceedings: Innovations, Quality & Outcomes.  5 (2021)  4 - p. 795-801 , 2021
Link: https://doi.org/10.1016/..
 
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7

Machine Learning Models to Predict Major Adverse Cardiovasc..:

Jain, Vardhmaan ; Bansal, Agam ; Radakovich, Nathan...
Journal of Cardiothoracic and Vascular Anesthesia.  35 (2021)  7 - p. 2063-2069 , 2021
Link: https://doi.org/10.1053/..
 
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8

Acute myeloid leukemia and artificial intelligence, algorit..:

Radakovich, Nathan ; Cortese, Matthew ; Nazha, Aziz
Best Practice & Research Clinical Haematology.  33 (2020)  3 - p. 101192 , 2020
Link: https://doi.org/10.1016/..
 
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9

The Impact of Clinical Decision Support Alerts onClostridio..:

Dunn, Aaron N ; Radakovich, Nathan ; Ancker, Jessica S..
Clinical Infectious Diseases.  72 (2020)  6 - p. 987-994 , 2020
Link: https://doi.org/10.1093/..
 
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10

Artificial Intelligence in Hematology: Current Challenges a..:

Radakovich, Nathan ; Nagy, Matthew ; Nazha, Aziz
Current Hematologic Malignancy Reports.  15 (2020)  3 - p. 203-210 , 2020
Link: https://doi.org/10.1007/..
 
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11

Virus-like Particles Identify an HIV V1V2 Apex-Binding Neut..:

Cale, Evan M. ; Gorman, Jason ; Radakovich, Nathan A....
Immunity.  46 (2017)  5 - p. 777-791.e10 , 2017
Link: https://doi.org/10.1016/..
 
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12

Lessons Learned in Using Laser Interstitial Thermal Therapy..:

Shao, Jianning ; Radakovich, Nathan R. ; Grabowski, Matthew...
World Neurosurgery.  139 (2020)  - p. e345-e354 , 2020
Link: https://doi.org/10.1016/..
 
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13

Personalized Prediction Model to Risk Stratify Patients Wit..:

Nazha, Aziz ; Komrokji, Rami ; Meggendorfer, Manja...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601291/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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14

Acute myeloid leukemia and artificial intelligence, algorit..:

Radakovich, Nathan ; Cortese, Matthew ; Nazha, Aziz
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7548395/.  , 2020
Link: http://www.ncbi.nlm.nih...
 
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15

Virus-like particles identify an HIV V1V2 Apex-1 binding ne..:

Cale, Evan M ; Gorman, Jason ; Radakovich, Nathan A...
http://eprints.sunway.edu.my/496/1/VRC38%20main%20text%20final%20JMB_EMC.pdf.  , 2017
Link: http://eprints.sunway.ed..
 
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