Building a machine learning-assisted echocardiography prediction tool for children at risk for cancer therapy-related cardiomyopathy

Autor: Lindsay A. Edwards, Christina Yang, Surbhi Sharma, Zih-Hua Chen, Lahari Gorantla, Sanika A. Joshi, Nicolas J. Longhi, Nahom Worku, Jamie S. Yang, Brandy Martinez Di Pietro, Saro Armenian, Aarti Bhat, William Border, Sujatha Buddhe, Nancy Blythe, Kayla Stratton, Kasey J. Leger, Wendy M. Leisenring, Lillian R. Meacham, Paul C. Nathan, Shanti Narasimhan, Ritu Sachdeva, Karim Sadak, Eric J. Chow, Patrick M. Boyle

Publikováno v: Cardio-Oncology, Vol 10, Iss 1, Pp 1-11 (2024)

Abstract Background Despite routine echocardiographic surveillance for childhood cancer survivors, the ability to predict cardiomyopathy risk in individual patients is limited. We explored the feasibility and optimal processes for machine learning-en

Externí odkaz: https://doaj.org/article/2fd2fd6531fc453293a64ff92486b978

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Multivariate analysis using a discriminant method for evaluating the techniques of weed management in soybean crop

Autor: Bianchini, Alexandre, V.D. Moraes, Pedro, J. Longhi, Solon, F. Adami, Paulo, Rossi, Patricia, V. Batista, Vanderson

Publikováno v: Planta Daninha v.38 2020
Planta daninha
Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)
instacron:SBCPD
Planta Daninha, Volume: 38, Article number: e020210864, Published: 04 DEC 2020

Background: The analysis of information generated from experiments involving different treatments, can be done by multivariate statistical analysis techniques, such as discriminant analysis, to analyze data obtained from predefined groups. Objective:

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3ec8393b74be612d73ce039b4a58c6d9
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582020000100326

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Evaluation of evapotranspiration variations as a function of relief and terrain exposure through multivariate statistical analysis

Autor: Raoni Wainer Duarte Bosquilia, Silvio Frosini de Barros Ferraz, Frank E. Muller-Karger, Solon J. Longhi, Matthew J. McCarthy, Sergio Nascimento Duarte, Christopher M. U. Neale

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

Knowing the variation of the water consumption of a crop or vegetation can help to avoid damages caused by the lack of water, besides allowing a better knowledge of the environment around. Thus, variations in evapotranspiration in sugarcane, planted

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9713816c730fc4ba18d210ded726307f