Results 41 to 50 of about 1,298,216 (229)
Improving the positive predictive value of exercise testing in women [PDF]
Heart, 2003 To identify exercise test variables that can improve the positive predictive value of exercise testing in women.Cohort study.Regional cardiothoracic centre.1286 women and 1801 men referred by primary care physicians to a rapid access chest pain clinic, of whom 160 women and 406 men had ST depression of at least 1 mm during exercise testing. The results
Keith D. Dawkins +5 more
openaire +3 more sources
Accuracy of ultrasonography in the evaluation of abdominal masses in children in Nigeria
African Journal of Paediatric Surgery, 2019 Introduction: Abdominal masses in children constitute a spectrum of lesions of diverse origin, nature and significance. In a low-income setting with limited investigative facilities, accurate diagnosis of abdominal masses can be very challenging. However,
Adebayo Ayokunle Adedayo +5 more
doaj +1 more source
Improving the Positive Predictive Value of Non-Invasive Prenatal Screening (NIPS). [PDF]
PLoS ONE, 2017 We evaluated performance characteristics of a laboratory-developed, non-invasive prenatal screening (NIPS) assay for fetal aneuploidies. This assay employs massively parallel shotgun sequencing with full automation.
Charles M Strom +18 more
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Journal of Family Medicine and Primary Care, 2020 Introduction: Spontaneous bacterial peritonitis (SBP) is a frequent and severe complication in cirrhotic patients with ascites. SBP is generally diagnosed based on an increased number of polymorphonuclear neutrophils in the ascitic fluid (>250/mm3) and ...
Harshad Khairnar +7 more
doaj +1 more source
BMC Research NotesBackground Approximately 40 million people globally are living with HIV (PLWH) and more than 50% of these PLWH reside in Eastern and Southern Africa. Zambia has an adult HIV-1 prevalence (ages 15–49) of 11.1 [10.5–11.6] %, among the highest in the world (
Loveness Mukuka +4 more
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Predictive Modeling: An Optimized and Dynamic Solution Framework for Systematic Value Investing [PDF]
arXiv, 2017 This paper defines systematic value investing as an empirical optimization problem. Predictive modeling is introduced as a systematic value investing methodology with dynamic and optimization features. A predictive modeling process is demonstrated using financial metrics from Gray & Carlisle and Buffett & Clark.
arxiv
A precise machine learning aided algorithm for land subsidence or upheave prediction from GNSS time series [PDF]
arXiv, 2020 This paper is aimed at the problem of predicting the land subsidence or upheave in an area, using GNSS position time series. Since machine learning algorithms have presented themselves as strong prediction tools in different fields of science, we employ them to predict the next values of the GNSS position time series.
arxiv
On the Utility of Prediction Sets in Human-AI Teams [PDF]
arXiv, 2022 Research on human-AI teams usually provides experts with a single label, which ignores the uncertainty in a model's recommendation. Conformal prediction (CP) is a well established line of research that focuses on building a theoretically grounded, calibrated prediction set, which may contain multiple labels.
arxiv
Long Short-Term Memory to predict 3D Amino acids Positions in GPCR Molecular Dynamics [PDF]
arXiv, 2022 G-Protein Coupled Receptors (GPCRs) are a big family of eukaryotic cell transmembrane proteins, responsible for numerous biological processes. From a practical viewpoint around 34\% of the drugs approved by the US Food and Drug Administration target these receptors.
arxiv
Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19
Clinical Epidemiology, 2021 Jacob Bodilsen,1 Steffen Leth,2,3 Stig Lønberg Nielsen,4,5 Jon Gitz Holler,6 Thomas Benfield,7 Lars Haukali Omland8 1Department of Infectious Diseases, Aalborg University Hospital, Aalborg, Denmark; 2Department of Infectious Diseases, Aarhus ...
Bodilsen J +5 more
doaj