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Impressões digitais para diagnóstico em saúde: validação de protótipo de escaneamento informatizado
Using fingerprints for health diagnosis: computerised scanning validation
Palabras clave:
Dermatoglifia, diagnóstico, validação de software (pt)Dermatoglyphics, diagnosis, software validation (en)
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Objetivo. Validar protótipo de escaneamento informatizado de impressões digitais como instrumento nos diagnósticos em saúde.
Materiais e Métodos. Amostra de n=15 indivíduos, sendo dois avaliadores X dois métodos X amostra. Utilizou-se o protocolo de Cummins e Midlo pelos métodos: Informatizado (M1) e Tradicional (M2).
Resultados. M1 apresenta uma capacidade maior de identificação quantitativa do número de linhas. M1 é mais eficiente, potencializando o nível de assertividade. Não houve diferença significativa entre as observações dos avaliadores intra (M1 x M2) e inter (Avaliador 1 x Avaliador 2), demonstrando a capacidade de reprodutibilidade e confiabilidade do M1. Na comparação das variações internas dos dois métodos, existem diferenças significativas entre os valores médios dos quadrados das diferenças inter-avaliadores, M2 apresenta amplitude 4 vezes maior.
Conclusão. Demonstra-se a eficiência do M1 no processamento das imagens do marcador genéticoimpressão digital, validando o protótipo informatizado como instrumento no diagnóstico em saúde.
Objective. Validating the computerised scanning of fingerprints as a health diagnosis instrument.
Materials and methods. A sample of n=15 individuals, two investigators X and two sample methods X. Cummins and Midlo's protocol was used as follows: computerized (M1) and traditional (M2).
Results. M1 had greater quantitative capacity for identifying the number of lines. M1 was more efficient, having a higher level of positivity. There was no significant difference between intra- (M1 and M2) and inter-investigator (investigator 1 x investigator 2) observations, thereby showing M1 reproducibility and reliability. There were significant differences between the mean values of the squares of inter-investigator differences (M2's amplitude was 4 times greater).
Conclusion. The results showed the efficiency of M1 in processing genetic marker imagesfingerprints, thus validating the computerized prototype as a diagnostic instrument health instrument.
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