scholarly journals HydroTest: A web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts

2007 ◽  
Vol 22 (7) ◽  
pp. 1034-1052 ◽  
Author(s):  
C.W. Dawson ◽  
R.J. Abrahart ◽  
L.M. See
Keyword(s):  
2021 ◽  
Author(s):  
Steven Hicks ◽  
Inga Strüke ◽  
Vajira Thambawita ◽  
Malek Hammou ◽  
Pål Halvorsen ◽  
...  

Clinicians and model developers need to understand how proposed machine learning (ML) models could improve patient care. In fact, no single metric captures all the desirable properties of a model and several metrics are typically reported to summarize a model's performance. Unfortunately, these measures are not easily understandable by many clinicians. Moreover, comparison of models across studies in an objective manner is challenging, and no tool exists to compare models using the same performance metrics. This paper looks at previous ML studies done in gastroenterology, provides an explanation of what different metrics mean in the context of the presented studies, and gives a thorough explanation of how different metrics should be interpreted. We also release an open source web-based tool that may be used to aid in calculating the most relevant metrics presented in this paper so that other researchers and clinicians may easily incorporate them into their research.


Author(s):  
Paula Estrella ◽  
Andrei Popescu-Belis ◽  
Maghi King

A large number of evaluation metrics exist for machine translation (MT) systems, but depending on the intended context of use of such a system, not all metrics are equally relevant. Based on the ISO/IEC 9126 and 14598 standards for software evaluation, the Framework for the Evaluation of Machine Translation in ISLE (FEMTI) provides guidelines for the selection of quality characteristics to be evaluated depending on the expected task, users, and input characteristics of an MT system. This approach to contextual evaluation was implemented as a web-based application which helps its users design evaluation plans. In addition, FEMTI offers experts in evaluation the possibility to enter and share their knowledge using a dedicated web-based tool, tested in several evaluation exercises.


1998 ◽  
Vol 62 (9) ◽  
pp. 671-674
Author(s):  
JF Chaves ◽  
JA Chaves ◽  
MS Lantz
Keyword(s):  

2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.


2008 ◽  
Vol 41 (8) ◽  
pp. 23
Author(s):  
MITCHEL L. ZOLER
Keyword(s):  

2009 ◽  
Vol 42 (19) ◽  
pp. 27
Author(s):  
BRUCE JANCIN
Keyword(s):  

GeroPsych ◽  
2013 ◽  
Vol 26 (4) ◽  
pp. 233-241 ◽  
Author(s):  
Pär Bjälkebring ◽  
Daniel Västfjäll ◽  
Boo Johansson

Regret and regret regulation were studied using a weeklong web-based diary method. 108 participants aged 19 to 89 years reported regret for a decision made and a decision to be made. They also reported the extent to which they used strategies to prevent or regulate decision regret. Older adults reported both less experienced and anticipated regret compared to younger adults. The lower level of experienced regret in older adults was mediated by reappraisal of the decision. The lower level of anticipated regret was mediated by delaying the decision, and expecting regret in older adults. It is suggested that the lower level of regret observed in older adults is partly explained by regret prevention and regulation strategies.


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