Titre : Virus Pichinde

Virus Pichinde : Questions médicales fréquentes

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Questions fréquentes et termes MeSH associés

Général 1

#1

Erreur lors de la génération.

Veuillez réessayer ultérieurement.
Pichinde virus
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Dr Olivier Menir

Contenu validé par Dr Olivier Menir

Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale


Validation scientifique effectuée le 22/03/2025

Contenu vérifié selon les dernières recommandations médicales

Auteurs principaux

Morgan Brisse

3 publications dans cette catégorie

Affiliations :
  • Biochemistry, Molecular Biology and Biophysics Graduate Program, College of Veterinary Medicine, University of Minnesota, Twin Cities, MN, United States.
  • Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Twin Cities, MN, United States.

Da Di

3 publications dans cette catégorie

Affiliations :
  • Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Twin Cities, MN, United States.

Duncan R Smith

3 publications dans cette catégorie

Affiliations :
  • Institute of Molecular Biosciences, Mahidol University, Salaya, 73170, Thailand. duncan_r_smith@hotmail.com.

Hannah Murphy

2 publications dans cette catégorie

Affiliations :
  • Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, USA.

Rahul Kumar

2 publications dans cette catégorie

Affiliations :
  • Veterinary Diagnostic Laboratory, Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, 1333 Gortner Ave, Saint Paul, MN 55108, USA.
  • Department of Veterinary Pathology, College of Veterinary Science and Animal Husbandry, Pandit Deen Dayal Upadhyaya Veterinary Science University and Cattle Research Institute, Mathura 281001, Uttar Pradesh, India.

Robert E Porter

2 publications dans cette catégorie

Affiliations :
  • Veterinary Diagnostic Laboratory, Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, 1333 Gortner Ave, Saint Paul, MN 55108, USA.

Sunil K Mor

2 publications dans cette catégorie

Affiliations :
  • Veterinary Diagnostic Laboratory, Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, 1333 Gortner Ave, Saint Paul, MN 55108, USA.

Sagar M Goyal

2 publications dans cette catégorie

Affiliations :
  • Veterinary Diagnostic Laboratory, Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, 1333 Gortner Ave, Saint Paul, MN 55108, USA.

Sushmita Kumari

2 publications dans cette catégorie

Affiliations :
  • Nebraska Center for Virology, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.
  • School of Veterinary Medicine and Biomedical Sciences, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.

Jayeshbhai Chaudhari

2 publications dans cette catégorie

Affiliations :
  • Nebraska Center for Virology, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.
  • School of Veterinary Medicine and Biomedical Sciences, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.

Phillip Gauger

2 publications dans cette catégorie

Affiliations :
  • Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA.

Marcelo Nunes De Almeida

2 publications dans cette catégorie

Affiliations :
  • Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA.

Hiep L X Vu

2 publications dans cette catégorie

Affiliations :
  • Nebraska Center for Virology, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.
  • Department of Animals Sciences, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.

Shuiyun Lan

2 publications dans cette catégorie

Affiliations :
  • Department of Pathology and Laboratory Medicine, Emory University , Atlanta, GA, USA.

Wun-Ju Shieh

2 publications dans cette catégorie

Affiliations :
  • Infectious Disease Pathology Branch, Centers for Disease Control and Prevention , Atlanta, GA, USA.

Sherif R Zaki

2 publications dans cette catégorie

Affiliations :
  • Infectious Disease Pathology Branch, Centers for Disease Control and Prevention , Atlanta, GA, USA.

Mizanur Rahman

2 publications dans cette catégorie

Affiliations :
  • Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Twin Cities, MN, United States.

Sources (6108 au total)

Diagnostic rate estimation from Medicare records: Dependence on claim numbers and latent clinical features.

International Classification of Disorders version 10 (ICD-10) codes contribute heavily to healthcare data. Medicare claims and other data-sources are used to constitute study populations and appraise ... The study population was Medicare beneficiaries aged 75-79.99 with claim(s) in the 5% standard analytical Carrier and Outpatient files, alive and participating in Medicare part B for all 12 months of ... Beneficiaries meeting inclusion criteria totaled 221,625, these having 7,617,503 claims; 96.4% had between 1 and 120 claims. Median claims were 24 for males (females 25); modal claims were 11 (13). Av... Older adult Medicare beneficiaries aged 75-80 exhibited varying claims activity over the course of a year. Although DRE dependence on claim numbers varies across ICD-10 codes, rate estimates are highe...

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

In electronic health records, patterns of missing laboratory test results could capture patients' course of disease as well as ​​reflect clinician's concerns or worries for possible conditions. These ... We collected and analyzed demographic, diagnosis, and laboratory data for 69,939 patients with positive COVID-19 PCR tests across three countries from 1 January 2020 through 30 September 2021. We anal... With these analyses, we identified mapping issues faced in seven out of 15 sites. We also identified nuances in data collection and variable definition for the various sites. Temporal trend analyses m... In this work, we use computational approaches to relate missingness patterns to hospital treatment capacity and highlight the heterogeneity of looking at COVID-19 over time and at multiple sites, wher...

Evaluating the accuracy of data extracted from electronic health records into MedicineInsight, a national Australian general practice database.

MedicineInsight is a database containing de-identified electronic health records (EHRs) from over 700 Australian general practices. Previous research validated algorithms used to derive medical condit... To examine the accuracy of the extraction and transformation of EHR fields for selected demographics, observations, diagnoses, prescriptions, and tests into MedicineInsight.... We benchmarked MedicineInsight values against those recorded in original EHRs. Forty-six general practices contributing data to MedicineInsight met our eligibility criteria, eight were randomly select... A total of 796 patients were included in our analysis. All demographic characteristics, observations, diagnoses, prescriptions and random pathology test results had excellent (>90%) POA, Kappa, and IC... Overall, our study shows good agreement between the majority of MedicineInsight data and those from original EHRs, suggesting MedicineInsight data extraction and warehousing procedures accurately cons...

Effect of knowledgebase transition of a clinical decision support system on medication order and alert patterns in an emergency department.

A knowledgebase (KB) transition of a clinical decision support (CDS) system occurred at the study site. The transition was made from one commercial database to another, provided by a different vendor....

A prospective observational concordance study to evaluate computational model-driven clinical practice guidelines for Type 2 diabetes mellitus.

Clinical Practice Guidelines (CPGs) provide healthcare professionals with performance and decision-making support during the treatment of patients. Sometimes, however, they are poorly implemented. The... The main objective of this paper is to present the results of the clinical validation of the IDE... National and international knowledge sources on T2DM were selected and reviewed and used to define a diabetes CPG model on the IDE... A concordance analysis was performed with the kappa value. Overall agreement between the recommendations provided by the system and those recorded in each patient's EHR was good (0.61 - 0.80) with a t... A series of possible improvements were identified based on the limitations for the recovery of variables related to the quality of these recolected variables, the detection of duplicate recommendation...