Results 1 to 10 of about 13,518,769 (291)

An Overview of Heart Rate Variability Metrics and Norms

Frontiers in Public Health, 2017
Healthy biological systems exhibit complex patterns of variability that can be described by mathematical chaos. Heart rate variability (HRV) consists of changes in the time intervals between consecutive heartbeats called interbeat intervals (IBIs).
F. Shaffer, J. Ginsberg
exaly   +2 more sources

SYSTEMATIC LITERATURE REVIEW OF IOT METRICS [PDF]

Applied Computer Science, 2023
The Internet of Things (IoT) touches almost every aspect of modern society and has changed the way people live, work, travel and, do business. Because of its importance, it is essential to ensure that an IoT system is performing well, as desired and ...
Donatien Koulla MOULLA , Ernest MNKANDLA , Alain ABRAN   +2 more
doaj   +1 more source

Performance metrics for vehicular visible light communication systems [PDF]

ITM Web of Conferences, 2022
Vehicular Visible Light communication (VVLC) presents a new paradigm for providing vehicle connectivity, increasing road safety, and achieving autonomous driving.
Raissouni Fatima zahra, Cherkaoui Abdeljabbar, Galilea José Luis Lázaro, Gardel Vicente Alfredo   +3 more
doaj   +1 more source

Performance metrics for nanofiltration-based selective separation for resource extraction and recovery

Nature Water, 2023
Membrane filtration has been widely adopted in various water treatment applications, but its use in selective solute separation for resource extraction and recovery is an emerging research area.
Ruoyu Wang, Rongrong He, Tao He, M. Elimelech, Shihong Lin   +4 more
semanticscholar   +1 more source

Assessing the hospital volume-outcome relationship in surgery: a scoping review

BMC Medical Research Methodology, 2021
Introduction Many recent studies have investigated the hospital volume-outcome relationship in surgery. In some cases, the results have prompted the centralization of surgical activity.
Mathieu Levaillant, Romaric Marcilly, Lucie Levaillant, Philippe Michel, Jean-François Hamel-Broza, Benoît Vallet, Antoine Lamer   +6 more
doaj   +1 more source

Investigation of performance metrics in regression analysis and machine learning-based prediction models

8th European Congress on Computational Methods in Applied Sciences and Engineering, 2022
. Performance metrics (Evaluation metrics or error metrics) are crucial components of regression analysis and machine learning-based prediction models.
Vagelis Plevris, German Solorzano, N. Bakas, M. El, Amine Ben Seghier   +4 more
semanticscholar   +1 more source

Practices of performance measurement in companies in the Republic of Serbia [PDF]

Economic Horizons, 2015
A large number of acronyms which indicate diff erent performance metrics, such as EBIT (Earnings Before Interest And Taxes), EBITDA (Earnings Before Interest, Taxes, Depreciation, And Amortization), ROIC (Return On Invested Capital), NPV (Net Present ...
Miroslav Todorovic, Djordje Kalicanin, Aleksandra Nojkovic   +2 more
doaj   +1 more source

Magician's Corner: 9. Performance Metrics for Machine Learning Models.

Radiology: Artificial Intelligence, 2021
I the previous articles, we showed how to process images and train classification models, segmentation models, generative adversarial networks, as well as image denoising models.
B. Erickson, F. Kitamura
semanticscholar   +1 more source

Trends in prevalence, mortality, and morbidity associated with high systolic blood pressure in Brazil from 1990 to 2017: estimates from the “Global Burden of Disease 2017” (GBD 2017) study

Population Health Metrics, 2020
Background Hypertension remains the leading risk factor for cardiovascular disease (CVD) worldwide, and its impact in Brazil should be assessed in order to better address the issue.
Bruno Ramos Nascimento, Luísa Campos Caldeira Brant, Simon Yadgir, Gláucia Maria Moraes Oliveira, Gregory Roth, Scott Devon Glenn, Meghan Mooney, Mohsen Naghavi, Valéria Maria Azeredo Passos, Bruce Bartholow Duncan, Diego Augusto Santos Silva, Deborah Carvalho Malta, Antonio Luiz Pinho Ribeiro   +12 more
doaj   +1 more source

Mitigating Bias in Radiology Machine Learning: 3. Performance Metrics.

Radiology: Artificial Intelligence, 2022
The increasing use of machine learning (ML) algorithms in clinical settings raises concerns about bias in ML models. Bias can arise at any step of ML creation, including data handling, model development, and performance evaluation.
S. Faghani, Bardia Khosravi, Kuan Zhang, Mana Moassefi, J. Jagtap, F. Nugen, Sanaz Vahdati, Shiba Kuanar, S. M. Rassoulinejad-Mousavi, Yashbir Singh, Diana V. Vera Garcia, Pouria Rouzrokh, B. Erickson   +12 more
semanticscholar   +1 more source