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Interva Inc interva-5 algorithm
Interva 5 Algorithm, supplied by Interva Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/interva-5+algorithm/interva+5/pmc11931915-120-9-9
Average 90 stars, based on 1 article reviews
interva-5 algorithm - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Synthesizing a pragmatic and systemized measure of universal health coverage: verifying the circumstances of mortality CATegories of death investigated by verbal autopsy
Article Snippet: InterVA-5, a machine learning-based VA tool, was used for processing and interpreting medical and non-medical (COMCAT) causes of death for data collected between 2017 and 2021 in the Sleman Health and Demographic Surveillance System.

Article Title: Validating the diagnostic accuracy of medical certification: a population-level comparison between verbal autopsy and Saudi medical records causes of death of deceased with type 2 diabetes.
Article Snippet: Subsequently, an additional analysis was conducted to further assess the overall agreement, which included comparing the likely COD derived from InterVA-5 with both the main PRCOD documented in medical records and the preliminary diagnoses of COD made at the hospital.

Article Title: Validating the diagnostic accuracy of medical certification: a population-level comparison between verbal autopsy and Saudi medical records causes of death of deceased with type 2 diabetes.
Article Snippet: Although physicians traditionally process VA information to determine a likely medical COD, automated software tools like InterVA-5 have been validated in various settings, and are increasingly used in assigned COD as they offer a faster, cheaper, and consistent approach [4,25–27].

Article Title: Mortality in children and adolescents in Western Democratic Republic of Congo: retrospective analysis of verbal autopsy and demographic data from the Kimpese Health and Demographic Surveillance System.
Article Snippet: The COMCAT sub- analysis in InterVA- 5 found that Recognition (39%), if there was uncertainty if medical care was needed in the days preceding death, was the main contributing circumstance of death (figure 4).

Article Title: Mortality in children and adolescents in Western Democratic Republic of Congo: retrospective analysis of verbal autopsy and demographic data from the Kimpese Health and Demographic Surveillance System.
Article Snippet: This misclassification appeared to result from InterVA- 5 not distinguishing between females 5 and 14 years old.

Article Title: Validating the diagnostic accuracy of medical certification: a population-level comparison between verbal autopsy and Saudi medical records causes of death of deceased with type 2 diabetes.
Article Snippet: The COD from medical records was presented as a single COD, whereas InterVA-5 determined up to three probable causes for VA data, aligning with the ICD-10 codes.

Article Title: Synthesizing a pragmatic and systemized measure of universal health coverage: verifying the circumstances of mortality CATegories of death investigated by verbal autopsy
Article Snippet: Based on circumstantial information collected from the World Health Organization (WHO) VA standardized questionnaire, the InterVA-5 generates the probability of a circumstance category for each death in the defined population ( , ).

Article Title: Synthesizing a pragmatic and systemized measure of universal health coverage: verifying the circumstances of mortality CATegories of death investigated by verbal autopsy
Article Snippet: Collected VA data were processed for each death case using the InterVA-5 tool, which generates up to three most probable medical COD and their likelihood of attributing to the specific COD ( ).

Derivative Assay:

Article Title: Synthesizing a pragmatic and systemized measure of universal health coverage: verifying the circumstances of mortality CATegories of death investigated by verbal autopsy
Article Snippet: InterVA-5, a machine learning-based VA tool, was used for processing and interpreting medical and non-medical (COMCAT) causes of death for data collected between 2017 and 2021 in the Sleman Health and Demographic Surveillance System.

Article Title: Validating the diagnostic accuracy of medical certification: a population-level comparison between verbal autopsy and Saudi medical records causes of death of deceased with type 2 diabetes.
Article Snippet: Subsequently, an additional analysis was conducted to further assess the overall agreement, which included comparing the likely COD derived from InterVA-5 with both the main PRCOD documented in medical records and the preliminary diagnoses of COD made at the hospital.

Article Title: Validating the diagnostic accuracy of medical certification: a population-level comparison between verbal autopsy and Saudi medical records causes of death of deceased with type 2 diabetes.
Article Snippet: Although physicians traditionally process VA information to determine a likely medical COD, automated software tools like InterVA-5 have been validated in various settings, and are increasingly used in assigned COD as they offer a faster, cheaper, and consistent approach [4,25–27].

Article Title: Mortality in children and adolescents in Western Democratic Republic of Congo: retrospective analysis of verbal autopsy and demographic data from the Kimpese Health and Demographic Surveillance System.
Article Snippet: The COMCAT sub- analysis in InterVA- 5 found that Recognition (39%), if there was uncertainty if medical care was needed in the days preceding death, was the main contributing circumstance of death (figure 4).

Article Title: Mortality in children and adolescents in Western Democratic Republic of Congo: retrospective analysis of verbal autopsy and demographic data from the Kimpese Health and Demographic Surveillance System.
Article Snippet: This misclassification appeared to result from InterVA- 5 not distinguishing between females 5 and 14 years old.

Article Title: Validating the diagnostic accuracy of medical certification: a population-level comparison between verbal autopsy and Saudi medical records causes of death of deceased with type 2 diabetes.
Article Snippet: The COD from medical records was presented as a single COD, whereas InterVA-5 determined up to three probable causes for VA data, aligning with the ICD-10 codes.

Article Title: Synthesizing a pragmatic and systemized measure of universal health coverage: verifying the circumstances of mortality CATegories of death investigated by verbal autopsy
Article Snippet: Based on circumstantial information collected from the World Health Organization (WHO) VA standardized questionnaire, the InterVA-5 generates the probability of a circumstance category for each death in the defined population ( , ).

Article Title: Synthesizing a pragmatic and systemized measure of universal health coverage: verifying the circumstances of mortality CATegories of death investigated by verbal autopsy
Article Snippet: Collected VA data were processed for each death case using the InterVA-5 tool, which generates up to three most probable medical COD and their likelihood of attributing to the specific COD ( ).



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