Darabi, H
354  results:
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1

A process mining- deep learning approach to predict surviva..:

Pishgar, M ; Harford, S ; Theis, J...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309593/.  , 2022
 
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Prediction of unplanned 30-day readmission for ICU patients..:

Pishgar, M ; Theis, J ; Del Rios, M...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063206/.  , 2022
 
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The association between HPV gene expression, inflammatory a..:

Rezaei, M ; Mostafaei, S ; Aghaei, A...
http://eprints.iums.ac.ir/34019/1/The-association-between-HPV-gene-expression-inflammatory-agents-and-cellular-genes-involved-in-EMT-in-lung-cancer-tissueBMC-cancer.pdf.  , 2020
 
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Urban flood risk mapping using data-driven geospatial techn..:

Darabi, H ; Haghighi, A.T ; Mohamadi, M.A...
Darabi, H., Haghighi, A.T., Mohamadi, M.A., Rashidpour, M., Ziegler, A.D., Hekmatzadeh, A.A., Kløve, B. (2020). Urban flood risk mapping using data-driven geospatial techniques for a flood-prone case area in Iran. Hydrology Research 51 (1) : 127-142. ScholarBank@NUS Repository. https://doi.org/10.2166/nh.2019.090.  , 2020
 
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Exosomal microRNAs: Novel players in cervical cancer:

Nahand, J.S ; Vandchali, N.R ; Darabi, H...
Nahand, J.S. and Vandchali, N.R. and Darabi, H. and Doroudian, M. and Banafshe, H.R. and Moghoofei, M. and Babaei, F. and Salmaninejad, A. and Mirzaei, H. (2020) Exosomal microRNAs: Novel players in cervical cancer. Epigenomics, 12 (18). pp. 1651-1660..  , 2020
 
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RAD51B in Familial Breast Cancer:

Pelttari, LM ; Khan, S ; Vuorela, M...
PloS one, 2016, 11 (5), pp. e0153788 - ?.  , 2017
 
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