نتایج جستجو برای: predict

تعداد نتایج: 220647  

2010
Andrew F. Leuchter Ian A. Cook Steven P. Hamilton Katherine L. Narr Arthur Toga Aimee M. Hunter Kym Faull Julian Whitelegge Anne M. Andrews Joseph Loo Baldwin Way Stanley F. Nelson Steven Horvath Barry D. Lebowitz

During the past several years, we have achieved a deeper understanding of the etiology/pathophysiology of major depressive disorder (MDD). However, this improved understanding has not translated to improved treatment outcome. Treatment often results in symptomatic improvement, but not full recovery. Clinical approaches are largely trial-and-error, and when the first treatment does not result in...

2010
Galit Shmueli

Statistical modeling is a powerful tool for developing and testing theories by way of causal explanation, prediction, and description. In many disciplines there is near-exclusive use of statistical modeling for causal explanation and the assumption that models with high explanatory power are inherently of high predictive power. Conflation between explanation and prediction is common, yet the di...

Journal: :Journal of chemical information and modeling 2011
Matthew A. Kayala Chloé-Agathe Azencott Jonathan H. Chen Pierre Baldi

Being able to predict the course of arbitrary chemical reactions is essential to the theory and applications of organic chemistry. Approaches to the reaction prediction problems can be organized around three poles corresponding to: (1) physical laws; (2) rule-based expert systems; and (3) inductive machine learning. Previous approaches at these poles, respectively, are not high throughput, are ...

2007
Stefan Priebe

The study 'Outcomes of Involuntary Hospital Admission in England' was linked to EUNOMIA and presents the largest ever national study on outcomes and predictors for outcomes of involuntary hospital admission. Patients were assessed within the first week after admission, after four weeks, three months and twelve months. More than 800 patients were interviewed after admission. Baseline and outcome...

2017
Aaron D. Likens Laura K. Allen Danielle S. McNamara

Language entails many nested time scales, ranging from the relatively slow scale of cultural evolution to the rapid scale of individual cognition. The nested, multiscale nature of language implies that even simple acts of text production, such as typing a sentence, entail complex interactions involving multiple concurrent processes. As such, text production may have much in common with other co...

2010
Alexei Sharpanskykh Sybert H. Stroeve

Safety culture is broadly recognized as important for Air Traffic Management and various studies have addressed its characterization and assessment. Nevertheless, relations between safety culture and formal and informal organizational structures and processes are yet not well understood. We aim to improve the understanding of these relations by agent-based organizational modeling and thus provi...

Journal: :international journal of endocrinology and metabolism 0
tomoyuki kawada department of hygiene and public health, nippon medical school, tokyo, japan; department of hygiene and public health, nippon medical school, 1-1-5 sendagi, bunkyo-ku, 113-8602 tokyo, japan. tel: +81-338222131, fax: +81-356853065

conclusions the mathematical meaning of the two insulin-related biomarkers examined was the same, and the odds ratios of the two biomarkers were almost the same after adjustments for other independent variables. objectives a one-year follow-up study was conducted to determine the ability of the insulin-related biomarkers to predict the risk of mets development. patients and methods a total of 2...

Mohammad Reza Rezaie, Tohid Yousefzadeh Hassanluie Zahra Rostami

Background:Leukemia is cancer of blood and bone marrow cells. In general, there are four types of leukemia: chronic myelogenous leukemia (CML), acute myeloid leukemia (AML), B-cell chronic lymphocytic leukemia (CLL) and acute lymphoblastic leukemia (ALL).  Fractal geometry can be introduced as one of the effective ways to detect this type of cancer. In this study, with introduc...

Hamid Khaloozadeh Mohammad Talebi Motlagh

Modelling and forecasting Stock market is a challenging task for economists and engineers since it has a dynamic structure and nonlinear characteristic. This nonlinearity affects the efficiency of the price characteristics. Using an Artificial Neural Network (ANN) is a proper way to model this nonlinearity and it has been used successfully in one-step-ahead and multi-step-ahead prediction of di...

2002
Burkhard Rost Jinfeng Liu Dariusz Przybylski Rajesh Nair Kazimierz O. Wrzeszczynski Henry Bigelow Yanay Ofran

* 1 CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, 650 West 168 Street BB217, New York, NY 10032, USA; 2 Columbia University Center for Computational Biology and Bioinformatics (C2B2), Russ Berrie Pavilion, 1150 St. Nicholas Avenue, New York, NY 10032, USA; 3 North East Structural Genomics Consortium (NESG), Department of Biochemistry and Molecular Biophysics, ...

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