Results 51 to 60 of about 16,362,739 (323)
A Data-Driven Decision Support System for Scoliosis Prognosis
A decision support system with data-driven methods is of great significance for the prognosis of scoliosis. However, developing an accurate and interpretable data-driven decision support system is challenging: 1) the scoliosis data collected from ...
Liming Deng +3 more
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It is recognized that the performance of any prediction model is a function of several factors. One of the most significant factors is the adopted preprocessing techniques.
Esra’a Alshdaifat +4 more
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Mathematical aspects of the kriging applied on landslide in Halenkovice (Czech Republic)
Kriging is one of the geostatistical techniques for spatial data analysis that is usually used for a modelling of natural phenomena or a creation of digital elevation models.
Zůvala Robert +2 more
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Dynamic Graph Neural Network Learning for Temporal Omics Data Prediction
High-throughput studies of biological systems are rapidly generating a wealth of ‘omics’-scale data. Many of these studies are temporal collecting proteomics and genomics data capturing dynamic observations.
Xiaoli Jing, Yanhong Zhou, Min Shi
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Classification of Building Types in Germany: A Data-Driven Modeling Approach
Details on building levels play an essential part in a number of real-world application models. Energy systems, telecommunications, disaster management, the internet-of-things, health care, and marketing are a few of the many applications that require ...
Abhilash Bandam +4 more
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Influence of Missing Values Substitutes on Multivariate Analysis of Metabolomics Data
Missing values are known to be problematic for the analysis of gas chromatography-mass spectrometry (GC-MS) metabolomics data. Typically these values cover about 10%–20% of all data and can originate from various backgrounds, including analytical ...
Piotr S. Gromski +7 more
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Expect: EXplainable Prediction Model for Energy ConsumpTion
With the steady growth of energy demands and resource depletion in today’s world, energy prediction models have gained more and more attention recently.
Amira Mouakher +3 more
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ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele +19 more
wiley +1 more source
Techniques for Robust Imputation in Incomplete Two-Way Tables
We describe imputation strategies resistant to outliers, through modifications of the simple imputation method proposed by Krzanowski and assess their performance.
Sergio Arciniegas-Alarcón +3 more
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ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source

