A case study of using artificial neural networks for classifying cause of death from verbal autopsy.
about
Improving performance of the Tariff Method for assigning causes of death to verbal autopsiesValidation of the symptom pattern method for analyzing verbal autopsy dataUsefulness of the Population Health Metrics Research Consortium gold standard verbal autopsy data for general verbal autopsy methodsMeasuring causes of death in populations: a new metric that corrects cause-specific mortality fractions for chance.Validating the InterVA model to estimate the burden of mortality from verbal autopsy data: a population-based cross-sectional studyCore verbal autopsy procedures with comparative validation results from two countries.Assessing the repeatability of verbal autopsy for determining cause of death: two case studies among women of reproductive age in Burkina Faso and Indonesia.Verbal autopsy interpretation: a comparative analysis of the InterVA model versus physician review in determining causes of death in the Nairobi DSS.Agreement between physicians and the InterVA-4 model in assigning causes of death: the role of recall period and characteristics specific to the deceased and the respondentEvaluating the performance of interpreting Verbal Autopsy 3.2 model for establishing pulmonary tuberculosis as a cause of death in Ethiopia: a population-based cross-sectional study.The autopsy: complete or not complete?Population Health Metrics Research Consortium gold standard verbal autopsy validation study: design, implementation, and development of analysis datasets.Robust metrics for assessing the performance of different verbal autopsy cause assignment methods in validation studies.Verbal Autopsy: Evaluation of Methods to Certify Causes of Death in UgandaA review of the structure and function of vital registration system in Ghana: towards improvement in mortality data quality for health policy analysisA study of autopsy procedures in Ghana: implications for the use of autopsy data in epidemiological analyses.Performance of InterVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standardsRandom forests for verbal autopsy analysis: multisite validation study using clinical diagnostic gold standards.The Global Network Neonatal Cause of Death algorithm for low-resource settings.Verbal autopsy: methods in transition.
P2860
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P2860
A case study of using artificial neural networks for classifying cause of death from verbal autopsy.
description
2001 nî lūn-bûn
@nan
2001 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
A case study of using artifici ...... of death from verbal autopsy.
@ast
A case study of using artifici ...... of death from verbal autopsy.
@en
A case study of using artifici ...... of death from verbal autopsy.
@nl
type
label
A case study of using artifici ...... of death from verbal autopsy.
@ast
A case study of using artifici ...... of death from verbal autopsy.
@en
A case study of using artifici ...... of death from verbal autopsy.
@nl
prefLabel
A case study of using artifici ...... of death from verbal autopsy.
@ast
A case study of using artifici ...... of death from verbal autopsy.
@en
A case study of using artifici ...... of death from verbal autopsy.
@nl
P2093
P356
P1476
A case study of using artifici ...... of death from verbal autopsy.
@en
P2093
Chandramohan D
P304
P356
10.1093/IJE/30.3.515
P577
2001-06-01T00:00:00Z