Results 161 to 170 of about 6,660,147 (290)

Advancing Long‐Term Energy Demand Forecasting: A PRISMA‐Guided Systematic Review of AI and Econometric Models

Applied Research, Volume 5, Issue 5, October 2026.
Through a PRISMA‐guided review of 42 studies, this work compares deep learning, ensemble machine learning, and statistical/econometric models for long‐term energy demand forecasting, showing that model choice should balance accuracy, interpretability, data availability, and policy relevance.
Nor Afiza Mohd Noor, Mohamad Fani Sulaima, Mohd Khairil Rahmat, Norhafiza Mohamad, Hazlie Mokhlis   +4 more
wiley   +1 more source

Time series forecasting of infant mortality rate in India using Bayesian ARIMA models. [PDF]

BMC Public Health
Singh A, Tripathi T, Ranjan R, Tiwari AK.   +3 more
europepmc   +1 more source

Testing the Accuracy of the ARIMA Models in Forecasting the Spreading of COVID-19 and the Associated Mortality Rate. [PDF]

Medicina (Kaunas), 2020
Ilie OD, Ciobica A, Doroftei B.
europepmc   +1 more source

Outcomes of adult patients with Li‐Fraumeni syndrome and myeloid neoplasms

Cancer, Volume 132, Issue 19, 1 October 2026.
Abstract Background Li‐Fraumeni syndrome (LFS) is an inherited cancer predisposition syndrome. Hematologic malignancies are not considered LFS defining tumors, however, both acute lymphoblastic leukemia and therapy‐related myeloid neoplasms (MNs) in LFS are described. Treatment approaches and outcomes of MN in LFS need further evaluation.
Jayastu Senapati, Hiam M. Abdel‐Salam, Vladislav D. Jdanov, Sanam Loghavi, Ashley Woodson, Jessica Corredor, Gautam Borthakur, Naval G. Daver, Tapan M. Kadia, Koichi Takahashi, Yesid Alvarado, Naveen Pemmaraju, Uday R. Popat, Elizabeth J. Shpall, Farhad Ravandi, Florencia McAllister, Najat C. Daw, Guillermo Garcia‐Manero, Banu K. Arun, Courtney D. DiNardo   +19 more
wiley   +1 more source

توفیق نموذج ملائم لفترات حدوث حالات الإصابة بالتهاب الکبد الفیروسی C فی محافظة نینوى - دراسة مقارنة مع نموذج العملیة الهندسیة –

Al-Rafidain Journal of Computer Sciences and Mathematics, 2013
Muthanna Subhi Sulaiman, Shaimaa Waleed Mahmood   +1 more
doaj   +1 more source

Impact of the COVID-19 pandemic on incidence of psychiatric disorders using nationwide cohort data and ARIMA models. [PDF]

Sci Rep
Seo JH, Lee M, Kang S, Kim SJ, Jung I, Kang JI.   +5 more
europepmc   +1 more source

Univariate and multivariate ARIMA versus vector autoregression forecasting [PDF]

The purposes of this study are two: 1) to compare the forecasting abilities of the three methods: univariate autoregressive integrated moving average (ARIMA), multivariate autoregressive integrated moving average (MARIMA), and vector autoregression (both
Michael L. Bagshaw
core  

Examining Test Order Appropriateness Using Mean Abnormal Result Rate in Inpatient and Outpatient Care: A Retrospective Cross‐Sectional Study

Health Science Reports, Volume 9, Issue 10, October 2026.
ABSTRACT Background and Aims Patients may experience more stress and the healthcare system may incur greater expenditures as a result of doctors ordering too many tests. In order to assess the suitability of testing, the Mean Abnormal Result Rate (MARR) metric—defined as the percentage of tests having abnormal results—was created. Data on how the COVID‐
Parastou Gorovanchi, Parham Panahi, Zahra Farrokhi, Rasoul Hossein Zadeh, Maryam Baradaran‐Binazir, Rasoul Estakhri   +5 more
wiley   +1 more source

Long-term forecast for antibacterial drug consumption in Germany using ARIMA models. [PDF]

Naunyn Schmiedebergs Arch Pharmacol
Bindel LJ, Seifert R.
europepmc   +1 more source