Physician preference for receiving machine learning predictive results: A cross-sectional multicentric study
Carregando...
Autores
Wichmann, Roberta Moreira
Fagundes, Thales Pardini
Oliveira, Tiago Almeida de
Chiavegatto Filho, Alexandre Dias Porto
Orientador
Co-orientadores
Citações na Scopus
Tipo de documento
Artigo Científico
Data
2022
Título da Revista
ISSN da Revista
Título do Volume
Resumo
Artificial intelligence (AI) algorithms are transforming several areas of the digital world and are increasingly being applied in healthcare. Mobile apps based on predictive machine learning models have the potential to improve health outcomes, but there is still no consensus on how to inform doctors about their results. The aim of this study was to investigate how healthcare professionals prefer to receive predictions generated by machine learning algorithms. A systematic search in MEDLINE, via PubMed, EMBASE and Web of Science was first performed. We developed a mobile app, RandomIA, to predict the occurrence of clinical outcomes, initially for COVID-19 and later expected to be expanded to other diseases. A questionnaire called System Usability Scale (SUS) was selected to assess the usability of the mobile app. A total of 69 doctors from the five regions of Brazil tested RandomIA and evaluated three different ways to visualize the predictions. For prognostic outcomes (mechanical ventilation, admission to an intensive care unit, and death), most doctors (62.9%) preferred a more complex visualization, represented by a bar graph with three categories (low, medium, and high probability) and a probability density graph for each outcome. For the diagnostic prediction of COVID-19, there was also a majority preference (65.4%) for the same option. Our results indicate that doctors could be more inclined to prefer receiving detailed results from predictive machine learning algorithms.
Titulo de periódico
PLoS One
Título de Livro
URL na Scopus
Idioma
Inglês
URL permanente
Notas
Membros da banca
Área do Conhecimento CNPQ
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO
CIENCIAS DA SAUDE::SAUDE COLETIVA::SAUDE PUBLICA
CIENCIAS DA SAUDE::MEDICINA::CLINICA MEDICA
CIENCIAS DA SAUDE::SAUDE COLETIVA::EPIDEMIOLOGIA
ENGENHARIAS::ENGENHARIA BIOMEDICA
ENGENHARIAS::ENGENHARIA BIOMEDICA::BIOENGENHARIA
CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::PROBABILIDADE E ESTATISTICA APLICADAS
CIENCIAS DA SAUDE::SAUDE COLETIVA::SAUDE PUBLICA
CIENCIAS DA SAUDE::MEDICINA::CLINICA MEDICA
CIENCIAS DA SAUDE::SAUDE COLETIVA::EPIDEMIOLOGIA
ENGENHARIAS::ENGENHARIA BIOMEDICA
ENGENHARIAS::ENGENHARIA BIOMEDICA::BIOENGENHARIA
CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::PROBABILIDADE E ESTATISTICA APLICADAS