Results 1 to 10 of about 1,780,043 (218)
International Journal of Population Data Science, 2023 Introduction Health inequalities in Brazil have deepened on Covid-19 pandemic, and the most vulnerable people were the more affected. A multidisciplinary team from Cidacs/Fiocruz Bahia developed a Social Disparities Index for Covid-19 (IDS-COVID-19) to ...
Adalton dos Anjos Fonseca +5 more
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BMC Pregnancy and Childbirth, 2020 Background Factors associated with low birth weight at term (TLBW), a proxy for intrauterine growth restriction (IUGR), are not well-elucidated in socioeconomically vulnerable populations.
Ila R. Falcão +10 more
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Proceedings of the VLDB Endowment, 2023 Causal inference is fundamental to empirical scientific discoveries in natural and social sciences; however, in the process of conducting causal inference, data management problems can lead to false discoveries. Two such problems are (i) not having all attributes required for analysis, and (ii) misidentifying which attributes are to be included in the ...
Brit Youngmann +3 more
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GMS Medizinische Informatik, Biometrie und Epidemiologie, 2021 As part of the digitalization strategy for medical documentation, we introduced a vendor-neutral archive (VNA) at the Jena University Hospital. The VNA provides data based on interoperable formats for all clinical systems and for communication with other
Kruse, Henner M. +16 more
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COD Optimization Prediction Model Based on CAWOA-ELM in Water Ecological Environment
Journal of Chemistry, 2021 The change of water quality can reflect the important indicators of ecological environment measurement. Sewage discharge is an important factor causing environmental pollution.
Lili Jiang +10 more
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Scientific Reports, 2022 Biomarkers for treatment sensitivity or drug resistance used in precision medicine include prognostic and predictive molecules, critical factors in selecting appropriate treatment protocols and improving survival rates.
A-Ram Lee +5 more
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Journal of Biomedical Informatics, 2007 Producing reliable information is the ultimate goal of data processing. The ocean of data created with the advances of science and technologies calls for integration of data coming from heterogeneous sources that are diverse in their purposes, business rules, underlying models and enabling technologies.
Olga Brazhnik, John F. Jones
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CPT: Pharmacometrics & Systems Pharmacology, 2022 Isatuximab is an approved anti‐CD38 monoclonal antibody with multiple antitumor modes of action. An exposure‐response (E‐R) analysis using data from patients with relapsed/refractory multiple myeloma (RRMM) enrolled in a phase Ib clinical study who ...
Fatiha Rachedi +10 more
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Data Science Journal, 2003 The fact that many decisions need a combination of information sources makes easy integration of geospatial data an important data usability issue. Our vision is to achieve automated just-in-time integration. As a foundation, we present a system architecture with distributed data and services.
Riedemann, Catharina, Timm, Christian
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BMC Pregnancy and Childbirth, 2022 Objective This study aims to describe clinical findings and determine the medium-term survival of congenital zika syndrome (CZS) suspected cases. Methods A retrospective cohort study using routine register-based linked data.
Enny S. Paixao +15 more
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