Probabilistic modeling of verbal autopsy data is best for public health decision making

Computer-based probabilistic models that are used to interpret verbal autopsy data- information from interviews with family, friends and carers about deaths that are later interpreted into possible cause(s) of death- are as effective as physician reviews of the data for establishing cause of death, according to research by Peter Byass from Umeľ University, Sweden, and colleagues from Witwatersrand University, South Africa, that is published this week in PLoS Medicine.

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