Machine learning vs. classic statistics for the prediction of IVF outcomes
2020 · Journal of Assisted Reproduction and Genetics · 66 citations
https://doi.org/10.1007/s10815-020-01908-1
M
Miriam Elbaz
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5
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Miriam Elbaz is an academic researcher from Weizmann Institute of Science. The author has contributed to research in topics: Inflammation biomarkers and pathways & Immune cells in cancer & Neutrophil, Myeloperoxidase and Oxidative Mechanisms. The author has an h-index of 6, co-authored 50 publications.
ORCID: 0009-0005-2127-1162Papers by this author
worksAnalysis of a breast cancer mathematical model by a new method to find an optimal protocol for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mrow><mml:mi>H</mml:mi><mml:mi>E</mml:mi><mml:mi>R</mml:mi><mml:mn>2</mml:mn></mml:mrow></mml:math>-positive cancer
2020 · Biosystems · 23 citations
https://doi.org/10.1016/j.biosystems.2020.104191
NeuroConstruct-based implementation of structured-light stimulated retinal circuitry
2020 · BMC Neuroscience · 0 citations
https://doi.org/10.1186/s12868-020-00578-0
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