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73
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Author
Baía, I.
(3)
Samorinha, C.
(3)
Silva, S.
(3)
Abreu, L.
(2)
Caicedo-Torres W.
(2)
Freitas, C.
(2)
Freitas, C. DE
(2)
Gutiérrez J.
(1)
Paternina Á.
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Paternina-Caicedo Á.
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Query:
PLATELET DONATION
Document Type:
Conferencia
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Title:
Ethical and methodological dilemmas in mixed-methods research: an empirically-based perspective about gamete donation
Author:
Silva, S.
/
Abreu, L.
/
Freitas, C. DE
/
Samorinha, C.
/
Baía, I.
Language:
Inglés
Repository:
73
Acceder
Title:
Contents about gamete donation on IVF clinics websites: how to assure that the information provided meets people’s needs?
Author:
Samorinha, C.
/
Baía, I.
/
Freitas, C. DE
/
Silva, S.
Language:
Inglés
Repository:
73
Acceder
Title:
Anonymized donors and recipients’ intersections in the same space: ethical and practical considerations
Author:
Abreu, L.
/
Silva, S.
/
Freitas, C.
/
Samorinha, C.
/
Baía, I.
Language:
Inglés
Repository:
73
Subject:
Gamete-donation
/
Ethnography
/
Anonymity
/
Patient-centred care
Acceder
Title:
Differential diagnosis of dengue and chikungunya in colombian children using machine learning
Author:
Caicedo-Torres W.
/
Paternina-Caicedo Á.
/
Pinzón-Redondo H.
/
Gutiérrez J.
Language:
Inglés
Repository:
61
Subject:
CART
/
Chikungunya
/
Decision tree
/
Dengue
/
Logistic regression
/
Support vector machine
/
Artificial intelligence
/
Decision trees
/
Learning algorithms
/
Pediatrics
/
Regression analysis
/
Statistical tests
/
Support vector machines
/
Decision tree classifiers
/
Logistic Regression modeling
/
Logistic regressions
/
Receiver operating characteristics
/
Stratified random sampling
/
Diagnosis
Title:
Innovative approaches to ethical and methodological challenges in health research
Author:
Freitas, C.
Language:
Inglés
Repository:
73
Acceder
Title:
Machine learning models for early dengue severity prediction
Author:
Caicedo-Torres W.
/
Paternina Á.
/
Pinzón H.
Language:
Inglés
Repository:
61
Subject:
Children
/
Dengue
/
Logistic regression
/
Machine learning
/
Naive bayes
/
PICU
/
Severity
/
SVM
/
Artificial intelligence
/
Health risks
/
Intensive care units
/
Learning algorithms
/
Pediatrics
/
Viruses
/
Logistic regressions
/
Learning systems
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