Showing 2,001 - 2,020 results of 2,390 for search '"Prediction', query time: 0.07s Refine Results
  1. 2001

    Optimal Embryo Selection: The Irreplaceable Role of the Embryologist in an Age of Advancing Technology by Lauren Kendall Rauchfuss, Yulian Zhao, David Walker, Terri Galantis, Jolene Fredrickson, Kathrynne Barud, Chandra Shenoy

    Published 2023-07-01
    “…Results: Morphological and morphokinetic grading were both predictive of embryo competence on days 3 and 5. However, on day 3, morphologic grading was superior to morphokinetic grading with area under the curve (AUC) of 0.66 (P < 0.001) and 0.58 (P = 0.009), respectively. …”
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  2. 2002

    Incidence and prognosis associated with troponin elevation after cardiac surgery: a prospective cohort study by Arthur Clement, Lee S Nguyen, Anousone Daulasim, Magali Souibri

    Published 2022-08-01
    “…We aimed to confirm the accuracy of troponin, analysed as time-dependent variable, to predict mortality independently from other biomarkers; and to assess the incidence and prognosis of a 10 times upper normal value threshold (troponin10N) used in the current fourth definition of myocardial infarction.Methods In a prospective cohort of patients who underwent cardiopulmonary bypass cardiac procedures, we assessed the association between serum levels of troponin, creatinine, bilirubin, serum glutamic-oxaloacetic transaminase (SGOT), serum glutamic pyruvic transaminase (SGPT), C-reactive protein (CRP), lactate and in-hospital mortality. …”
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  3. 2003

    Transformasi Kota Cerdas dalam Mitigasi Banjir: Pemodelan Curah Hujan DKI Jakarta dengan Pendekatan Spatial Vector Autoregressive (SpVAR) dan Pemetaan Bobot Queen Contiguity by Rinda Lolita Melanwati, Eni Sumarminingsih, Henny Pramoedyo

    Published 2023-12-01
    “…Rainfall, temperature, and humidity mutually influence predicted and other areas. This model is crucial for flood mitigation strategies and smart city policies to reduce flood risks in DKI Jakarta. …”
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    Article
  4. 2004

    Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran by M. A. Zangeneh Asadi, L. Goli Mokhtari, R. Zandi, M. Naemitabar

    Published 2025-02-01
    “…Lastly, the algorithms predicted sediment levels, with the GBM algorithm estimating a sediment concentration of 8955 mg/liter with a relative error of 8.54%, indicating strong alignment with the total sediment load in the region.…”
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  5. 2005

    Variability of anti-Müllerian hormone and folliculotropic hormone levels in women of reproductive age in relation to normal or impaired ovarian function by Małgorzata Jusiakowska-Piputa, Maria Kaczmarek

    Published 2025-01-01
    “…FSH marker did not differ compared to the control group in women aged 23–30 and 36–46. The predictive value of AMH in the diagnosis of PCOS is significantly higher than the commonly used FSH. …”
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  6. 2006

    Patient Preference for Once-Weekly Dosing in Type 2 Diabetes Mellitus in Japan by Rohini Sen, Alan L. Shields, Koichiro Atsuda

    Published 2016-03-01
    “…**Results:** Current treatment regimen, age, and work status were identified as the major demographic factors that were most predictive of QW preference. While, overall, 55.5% preferred QD and 33.3% preferred QW, the preference toward QW is higher in a specific cohort of patients that is treatment naïve (i.e., patients diagnosed with T2DM and/on diet/exercise therapy with no current or past experience with T2DM drug treatment) than who are on treatment, younger (age ≤64 years old), working full-time than part-time, and/or currently taking 0 or 1 drugs or more than 6 drugs (68.67% versus 30.12%). …”
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  7. 2007

    ExPRession-based E-Worksheet (EBEW): An effort to enhance student' computational thinking skills by Kartini Herlina, Abdurrahman Abdurrahman, Ahmad Naufal Umam, Ayu Nurjanah, Ghani Fadhil Rabbani, Ficha Aulia Indah Pratiwi

    Published 2025-02-01
    “…EBEW’s structured learning phases, involving deep problem understanding, root cause analysis, predictive solution modeling, investigative procedures, and conclusion synthesis, effectively aided students in enhancing CT and problem-solving skills. …”
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  8. 2008

    Maternal mortality in Malawi, 1977–2012 by Bejoy Nambiar, Iqbal Anwar, Tim Colbourn, Sonia Lewycka, Chisale Mhango, Ann Phoya

    Published 2013-12-01
    “…The resulting best-fit line predicted MMR in Malawi to have increased from 317 maternal deaths/100 000 live-births in 1980 to 748 in 1990, before peaking at 971 in 1999, and falling to 846 in 2005 and 484 in 2010. …”
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  9. 2009

    The Association of Economic Outcome and Geriatric Syndromes among Older Adults with Transcatheter Aortic Valve Replacement (TAVR) by Min Ji Kwak, Rafia Rasu, Robert O. Morgan, Jessica Lee, Nahid J. Rianon, Holly M. Holmes, Abhijeet Dhoble, Dae Hyun Kim

    Published 2020-10-01
    “…When the average hospital cost and LOS were predicted using the model with interaction terms, patients with delirium and frailty (but without dementia) had the highest value (total hospital cost US$86&#8239;503 and LOS 14.9 days). …”
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  10. 2010

    Target miRNA identification for the LPL gene in large yellow croaker (Larimichthys crocea) by Kalim Ullah, Aslam Hossain, Mingyue Cao, Liangyi Xue, Yajun Wang

    Published 2025-02-01
    “…Validation of these bioinformatics predictions was conducted through the construction of double luciferase reporters concealing the LPL 3′ untranslated region (3′UTR), substantiating that miR-84a and miR-1231-5p can modulate LPL expression via the LPL 3′UTR. …”
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  11. 2011

    Capnography as a tool for triaging and diagnosis of diabetic ketoacidosis in the emergency department: A prospective observational study by Suhrith Bhattaram, Varsha Sambhaji Shinde, Princy Panthoi Khumujam, Anjeeth Puthoor Anilkumar, Dhruva Kumar Reddy

    Published 2023-07-01
    “…It is against this background that the correlation between end-tidal carbon dioxide (EtCO2), blood pH, and EtCO2 bicarbonate levels was analyzed. The predictive value of EtCO2 was also analyzed in the diagnosis of DKA. …”
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  12. 2012

    Getting more by asking for less: Linking species interactions to species co-distributions in metacommunities by Barbier, Matthieu, Bunin, Guy, Leibold, Mathew A.

    Published 2025-01-01
    “…Consequently, we argue that study of multi-species spatial patterns can still be informative for theoretical approaches that build on statistical distributions of species parameters to predict macroscopic outcomes of community assembly. …”
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  13. 2013

    Clinical, immune and genetic risk factors of malaria-associated acute kidney injury in Zambian children: A study protocol. by Chisambo Mwaba, Sody Munsaka, David Mwakazanga, David Rutagwerae, Owen Ngalamika, Suzanna Mwanza, Mignon McCulloch, Evans Mpabalwani

    Published 2025-01-01
    “…In addition, we intend to assess a modified renal angina index (mRAI), kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), and soluble urokinase receptor (suPAR), when done on the first day of admission, for the ability to predict AKI two days later (day 3) in children admitted with malaria.…”
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  14. 2014

    Advanced deep learning techniques for recognition of dental implants by Veena Benakatti, Ramesh P. Nayakar, Mallikarjun Anandhalli, Rohit sukhasare

    Published 2025-03-01
    “…Artificial intelligence capable of analysing images in a radiograph and predicting implant type is an efficient tool. The study evaluated an advanced deep learning technique, DEtection TRanformer for implant identification. …”
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  15. 2015

    Association between red blood cell distribution width-to-albumin ratio at admission and all-cause mortality in patients with acute pancreatitis based on the MIMIC-III database. by Qingsong Wu, Lianyi Liao, Qingjun Deng

    Published 2025-01-01
    “…The receiver operating characteristic (ROC) analysis indicated that RAR had a moderate predictive value for all-cause mortality at 28 days, with an area under the curve (AUC) of 0.669 (95%CI, 0.617-0.720; p<0.05), and the cutoff value was 4.39. …”
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  16. 2016

    Managing Cow’s Milk Protein Allergy in Indonesia: A Cost-effectiveness Analysis of Hypoallergenic Milk Formulas from the Private Payers’ Perspective by Ana Teresa Paquete, Rui Martins, Mark P. Connolly, Badriul Hegar, Zakiudin Munasir, Stephanus Stephanus

    Published 2022-09-01
    “…Formula costs were lower for soy, but EHCF+LGG was predicted to save 9% and 54% of overall costs compared with extensively hydrolyzed whey formula and amino acid formula, respectively. …”
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  17. 2017

    Distinguishing classes of neuroactive drugs based on computational physicochemical properties and experimental phenotypic profiling in planarians. by Danielle Ireland, Christina Rabeler, Sagar Rao, Rudy J Richardson, Eva-Maria S Collins

    Published 2025-01-01
    “…Thus far, drug discovery approaches focused on target-based in silico or in vitro high-throughput screening (HTS) have had limited success because they cannot capture pathway interactions or predict how a compound will affect the whole organism. …”
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  18. 2018

    Data analysis for performance index of plate heat exchanger filled by ionanofluid-oil: parallel versus counterflow by Ishrat Zahan, Rehena Nasrin, Nusrat Jahan Jakia

    Published 2025-02-01
    “…The optimal performance index occurs at (Re = 1, ϕ = 0.025), chosen to maximize predicted η (= 33972.3) and actual η (= 34020.03). …”
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  19. 2019

    Partitioning the phenotypic and genetic variances of reaction norms by de Villemereuil, Pierre, Chevin, Luis-Miguel

    Published 2025-01-01
    “…We start by distinguishing the components of phenotypic variance arising from the average reaction norm across genotypes, genetic variation in reaction norms (with additive and non-additive components), and a residual that cannot be predicted from the genotype and the environment. We then further partition the genetic variance of the trait (additive or not) into an environment-blind component and a component arising from genetic variance in plasticity. …”
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  20. 2020

    Link Scheduling in Satellite Networks via Machine Learning Over Riemannian Manifolds by Joarder Jafor Sadique, Imtiaz Nasim, Ahmed S. Ibrahim

    Published 2025-01-01
    “…We introduce two machine learning (ML)-based link scheduling techniques that model the dynamic evolution of satellite positions and link conditions over time and space. To accurately predict satellite link states, we present a recurrent neural network (RNN) over Riemannian manifolds, which captures spatio-temporal characteristics over time. …”
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