Results 21 to 30 of about 101,601 (232)

A Study on Calories Burnt Prediction Using Machine Learning [PDF]

open access: yesITM Web of Conferences, 2023
In this growing technological era, People are less aware of their health and mental stability. Due to lack of time, they intake more junk food than healthy options, which leads to an increase in the total calorie rate in their body.
Panwar Punita   +3 more
doaj   +1 more source

The evaluation of liver fibrosis regression in chronic hepatitis C patients after the treatment with direct-acting antiviral agents – A review of the literature [PDF]

open access: yes, 2019
The second-generation of direct-acting antiviral agents are the current treatment for chronic viral hepatitis C infection. To evaluate the regression of liver fibrosis in patients receiving this therapy, liver biopsy remains the most accurate method, but
Alexescu, Teodora G   +12 more
core   +3 more sources

MACHINE LEARNING METHODS APPLIED IN AIR QUALITY PREDICTION [PDF]

open access: yesRomanian Journal of Petroleum & Gas Technology
Air quality is an important environmental component that has a significant influence on public health and well-being. Poor air quality can cause a variety of health problems, including respiratory and cardiovascular disorders.
Mihai-Claudiu Vieru   +1 more
doaj   +1 more source

Analysis of classical and machine learning based short-term and mid-term load forecasting for smart grid

open access: yesInternational Journal of Sustainable Energy, 2021
The evolution of advanced metering infrastructure (AMI) has increased the electricity consumption data in real-time manifolds. Using this massive data, the load forecasting methods have undergone numerous transformations.
Sneha Rai, Mala De
doaj   +1 more source

Integration of SVR and GPR Algorithms with Wavelet in Modeling Monthly Drought Forecasting [PDF]

open access: yesمهندسی منابع آب, 2023
Introduction: Drought is one of the natural hazards that have random and nonlinear behavior due to its various climatic parameters. SPI index is the most common index extracted from rainfall that has been used in modeling drought by various researchers ...
Jahanbakhsh Mohammadi,   +4 more
doaj   +1 more source

Sudden cardiac death in patients with ischemic heart failure undergoing coronary artery bypass grafting results from the STICH randomized clinical trial (Surgical Treatment for Ischemic Heart Failure) [PDF]

open access: yes, 2017
Background—The risk of sudden cardiac death (SCD) in patients with heart failure following CABG has not been examined in a contemporary clinical trial of surgical revascularization. This analysis describes the incidence, timing and clinical predictors of
Al-Khatib, Sana M.   +19 more
core   +2 more sources

Dynamic change of metabolic dysfunction-associated steatotic liver disease in chronic hepatitis C patients after viral eradication: A nationwide registry study in Taiwan [PDF]

open access: yesClinical and Molecular Hepatology
Background/Aims Steatotic liver disease (SLD) is a common manifestation in chronic hepatitis C (CHC). Metabolic alterations in CHC are associated with metabolic dysfunction-associated steatotic liver disease (MASLD).
Chung-Feng Huang   +14 more
doaj   +1 more source

Artificial Intelligence Models for Financial Time Series [PDF]

open access: yesOvidius University Annals: Economic Sciences Series, 2021
Modeling and predicting the evolution of financial series has become an essential research domain for scientists and practitioners in the field of economics or finance.
Alina Barbulescu   +1 more
doaj  

Curing Hepatitis C in Liver Transplant Recipients Is Associated with Changes in Immunosuppressant Use. [PDF]

open access: yes, 2016
Background and aimsAll-oral interferon-free antivirals are highly effective in treating recurrent hepatitis C (HCV) infection in liver transplant (LT) recipients.
Bau, Sherona   +12 more
core   +2 more sources

Forecasting Spare Parts Demand for Critical Rail Transit Vehicle Equipment Based on ARIMA-SVR Model

open access: yesChengshi guidao jiaotong yanjiu
[Objective] Accurately forecasting the demand for spare parts during critical rail transit vehicle equipment maintenance provides a foundation for scientific spare parts management and improves maintenance cost-efficiency.
WANG Yuelong, LIU Peng, YAO Weijun
doaj   +1 more source

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