Results 81 to 90 of about 1,930,496 (336)

Strategic Roadmap for Adopting Data-Driven Proactive Measures in Solar Logistics

Applied Sciences
This study presents a comprehensive overview of the solar industry’s transition towards resilient energy solutions, emphasizing the critical role of data-driven practices in driving this transition through responsible resource management.
Madhura Bhandigani, Akram Pattan, Silvia Carpitella   +2 more
doaj   +1 more source

Comparison of in-hospital mortality risk prediction models from COVID-19.

PLoS ONE, 2020
ObjectiveOur objective is to compare the predictive accuracy of four recently established outcome models of patients hospitalized with coronavirus disease 2019 (COVID-19) published between January 1st and May 1st 2020.MethodsWe used data obtained from ...
Ali A El-Solh, Yolanda Lawson, Michael Carter, Daniel A El-Solh, Kari A Mergenhagen   +4 more
doaj   +1 more source

Measurement of Cumulative Drug Exposure from Clinical Data Warehouse

Polypharmacy (PP) and hyperpolypharmacy (HPP), are prevalent among cancer patients and are associated with an increased risk of drug-drug interactions (DDI) and potentially inappropriate medications (PIM). This study aimed to characterize PP, HPP, DDI, and PIM in patients with hematological malignancies hospitalized for hematopoietic stem cell ...
Bories, Mathilde, Bannay, Aurélie, Pierre-Jean, Morgane, Bouzillé, Guillaume, Le Corre, Pascal   +4 more
openaire   +2 more sources

Cancer Surveillance using Data Warehousing, Data Mining, and Decision Support Systems [PDF]

, 2000
This article discusses how data warehousing, data mining, and decision support systems can reduce the national cancer burden or the oral complications of cancer therapies, especially as related to oral and pharyngeal cancers.
Adya, Monica, Forgionne, Guisseppi A., Gangopadhyay, Aryya   +2 more
core   +1 more source

Internet of Things‐Based Framework Application at a University Campus Scale: Linking Smart Monitoring Systems and Stormwater Management

Advanced Intelligent Discovery, EarlyView.
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si, Priscila B. R. Alves, Mitchell A. Pavao‐Zuckerman, Allen P. Davis, Tara Burke, Bryan S. Quinn, Elizabeth M. Bonsignore, Jennifer A. Cotting, Jason Baer, Kaitlyn Peterson, Pierre Gaunaurd, Tamara L. Clegg, David Loshin, Andrew M. Fellows, Taylor Keen, Gerrit J. Knaap, Marccus D. Hendricks   +16 more
wiley   +1 more source

Cellpose+, a Morphological Analysis Tool for Feature Extraction of Stained Cell Images

Advanced Intelligent Discovery, EarlyView.
We introduce Cellpose plus, a morphological and geometrical analysis tool for feature extraction of stained cell images built over Cellpose, a state‐of‐the‐art cell segmentation framework. We also introduce a dataset of DAPI and FITC stained cells to which our new method is applied.
Israel A. Huaman, Fares D. E. Ghorabe, Sofya S. Chumakova, Alexandra A. Pisarenko, Alexey E. Dudaev, Tatiana G. Volova, Galina A. Ryltseva, Sviatlana A. Ulasevich, Ekaterina I. Shishatskaya, Ekaterina V. Skorb, Pavel S. Zun   +10 more
wiley   +1 more source

Development of non-invasive diabetes risk prediction models as decision support tools designed for application in the dental clinical environment

Informatics in Medicine Unlocked, 2019
The objective was to develop a predictive model using medical-dental data from an integrated electronic health record (iEHR) to identify individuals with undiagnosed diabetes mellitus (DM) in dental settings.
Harshad Hegde, Neel Shimpi, Aloksagar Panny, Ingrid Glurich, Pamela Christie, Amit Acharya   +5 more
doaj   +1 more source

Integrating E-Commerce and Data Mining: Architecture and Challenges [PDF]

, 2000
We show that the e-commerce domain can provide all the right ingredients for successful data mining and claim that it is a killer domain for data mining.
Ansari, Suhail, Kohavi, Ron, Mason, Llew, Zheng, Zijian   +3 more
core   +5 more sources

Clustering-Based Materialized View Selection in Data Warehouses

, 2006
Materialized view selection is a non-trivial task. Hence, its complexity must be reduced. A judicious choice of views must be cost-driven and influenced by the workload experienced by the system.
A. Shukla, A.F. Cardenas, H. Gupta, H. Gupta, J.R. Smith, Jonathan Goldstein, S. Rizzi, S.B. Yao, X. Baril   +8 more
core   +4 more sources

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source