Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Shasank Chennupati"'
Autor:
Thejas G.S., Yashas Hariprasad, S.S. Iyengar, N.R. Sunitha, Prajwal Badrinath, Shasank Chennupati
Publikováno v:
Machine Learning with Applications, Vol 8, Iss , Pp 100267- (2022)
More often than not, data collected in real-time tends to be imbalanced i.e., the samples belonging to a particular class are significantly more than the others. This degrades the performance of the predictor. One of the most notable algorithms to ha
Externí odkaz:
https://doaj.org/article/32b1772eb18f4d0c973d49deeaf2985c
Autor:
G. S. Thejas, Rameshwar Garg, S. S. Iyengar, N. R. Sunitha, Prajwal Badrinath, Shasank Chennupati
Publikováno v:
IEEE Access, Vol 9, Pp 128687-128701 (2021)
Feature selection has emerged as a craft, using which we boost the performance of our learning model. Feature or Attribute Selection is a data preprocessing technique, where only the most informative features are considered and given to the predictor
Externí odkaz:
https://doaj.org/article/1628312443244aec8c20351d0e866fe0
Autor:
Dorothy Contiguglia-Akcan, Shasank Chennupati, Sebastian Cuitiva, Christian-Immanuel Oliveros, Carol Marie Fraley, Tiffany Race, Daniel Garrido
Publikováno v:
Florida Public Health Review, Vol 16, Pp 32-44 (2019)
In 2016 and 2017, South Florida was involved in an outbreak of locally-transmitted Zika virus. This questionnaire- based descriptive pilot study demonstrated the presence of behaviors that may be associated with increased risk of Zika transmission in
Externí odkaz:
https://doaj.org/article/f73d0dd2d5c44775985bd3541bca33f0
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0211205 (2019)
BACKGROUND:A clear understanding of the effects of housing structure, education, occupation, income, and wealth on malaria can help to better design socioeconomic interventions to control the disease. This literature review summarizes the relationshi
Externí odkaz:
https://doaj.org/article/f801b5ff6b634e5bbb8b52a2c3a0d72a
Autor:
Catherine R. Fedorenko, Christoph I. Lee, Scott D. Ramsey, Kathleen E. Malone, Shasank Chennupati, Daniel S. Hippe, Marissa B Lawson, Janie M. Lee
Publikováno v:
Journal of the National Comprehensive Cancer Network. 19:1156-1164
Background: The purpose of this study was to determine factors associated with receipt of screening mammography by insured women before breast cancer diagnosis, and subsequent outcomes. Patients and Methods: Using claims data from commercial and fede
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3914fa68c6ea6e31c68f84dd94deeaf
https://doi.org/10.6004/jnccn.2020.7801
https://doi.org/10.6004/jnccn.2020.7801
Publikováno v:
Clinical Lung Cancer. 22:e723-e733
Introduction We assessed the proportion of patients with advanced epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) positive non–small-cell lung cancer (NSCLC) who receive tyrosine kinase inhibitors (TKIs) in the real-wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9046857472627d3841dc4d383b48e85
https://doi.org/10.1016/j.cllc.2021.01.019
https://doi.org/10.1016/j.cllc.2021.01.019
Autor:
Renato G. Martins, Cristina Merkhofer, Bernardo H. L. Goulart, Keith D. Eaton, Shasank Chennupati, Scott D. Ramsey, Qin Sun
Publikováno v:
JCO Oncol Pract
PURPOSE: The costs associated with clinical trial enrollment remain uncertain. We hypothesized that trial participation is associated with decreased total direct medical costs to health care payers in metastatic non–small-cell lung cancer. METHODS:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9fdfe54a58686651741faadadbcc141
https://doi.org/10.1200/op.20.01092
https://doi.org/10.1200/op.20.01092
Autor:
Shasank Chennupati, Scott D. Ramsey, Joseph M. Unger, Bernardo H. L. Goulart, Catherine R. Fedorenko
Publikováno v:
JCO Oncology Practice. 17:e130-e139
PURPOSE: We investigated the association of out-of-pocket (OOP) costs for tyrosine kinase inhibitors (TKIs) with overall survival (OS) in epidermal growth factor receptor ( EGFR)- and anaplastic lymphoma kinase ( ALK)-positive advanced non–small-ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b2c22f29ed03c1132760f22dd9f0d41
https://doi.org/10.1200/op.20.00692
https://doi.org/10.1200/op.20.00692
Autor:
Prajwal Badrinath, N. R. Sunitha, Rameshwar Garg, G S Thejas, Shasank Chennupati, S. Sitharama Iyengar
Publikováno v:
IEEE Access, Vol 9, Pp 128687-128701 (2021)
Feature selection has emerged as a craft, using which we boost the performance of our learning model. Feature or Attribute Selection is a data preprocessing technique, where only the most informative features are considered and given to the predictor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fadcb9628fbf5620548d91f6dbb76879
https://ieeexplore.ieee.org/document/9536707/
https://ieeexplore.ieee.org/document/9536707/
Autor:
Veena Shankaran, Shasank Chennupati, Hayley Sanchez, Qin Sun, Li Li, Catherine Fedorenko, Abdalla Aly, Marcus Healey, Brian Seal
Publikováno v:
Journal of Hepatocellular Carcinoma
Veena Shankaran,1,2 Shasank Chennupati,1 Hayley Sanchez,1 Qin Sun,1 Li Li,1 Catherine Fedorenko,1 Abdalla Aly,3 Marcus Healey,3 Brian Seal3 1Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA;
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec79195639e3c54ff010e14b5bac9fb6
https://pubmed.ncbi.nlm.nih.gov/34938673
https://pubmed.ncbi.nlm.nih.gov/34938673