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Refinado por: assunto: Machine Learning remover Nome da Publicação: Bmc Medical Informatics And Decision Making remover Base de dados/Biblioteca: PMC (PubMed Central) remover
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Using multiclass classification to automate the identification of patient safety incident reports by type and severity
Using multiclass classification to automate the identification of patient safety incident reports by type and severity
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Using multiclass classification to automate the identification of patient safety incident reports by type and severity

Wang, Ying ; Coiera, Enrico ; Runciman, William ; Magrabi, Farah

BMC medical informatics and decision making, 2017-06, Vol.17 (1), p.84-84, Article 84 [Periódico revisado por pares]

England: BioMed Central Ltd

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2
A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data
A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data
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A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data

Golas, Sara Bersche ; Shibahara, Takuma ; Agboola, Stephen ; Otaki, Hiroko ; Sato, Jumpei ; Nakae, Tatsuya ; Hisamitsu, Toru ; Kojima, Go ; Felsted, Jennifer ; Kakarmath, Sujay ; Kvedar, Joseph ; Jethwani, Kamal

BMC medical informatics and decision making, 2018-06, Vol.18 (1), p.44-44, Article 44 [Periódico revisado por pares]

England: BioMed Central Ltd

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3
A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
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A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine

Campillos-Llanos, Leonardo ; Valverde-Mateos, Ana ; Capllonch-Carrión, Adrián ; Moreno-Sandoval, Antonio

BMC medical informatics and decision making, 2021-02, Vol.21 (1), p.69-69, Article 69 [Periódico revisado por pares]

England: BioMed Central Ltd

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4
Semantic categorization of Chinese eligibility criteria in clinical trials using machine learning methods
Semantic categorization of Chinese eligibility criteria in clinical trials using machine learning methods
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Semantic categorization of Chinese eligibility criteria in clinical trials using machine learning methods

Zong, Hui ; Yang, Jinxuan ; Zhang, Zeyu ; Li, Zuofeng ; Zhang, Xiaoyan

BMC medical informatics and decision making, 2021-04, Vol.21 (1), p.128-128, Article 128 [Periódico revisado por pares]

England: BioMed Central Ltd

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5
Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness
Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness
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Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness

Zhao, Yiqing ; Weroha, Saravut J ; Goode, Ellen L ; Liu, Hongfang ; Wang, Chen

BMC medical informatics and decision making, 2021-01, Vol.21 (1), p.3-3, Article 3 [Periódico revisado por pares]

England: BioMed Central Ltd

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6
Ensembles of randomized trees using diverse distributed representations of clinical events
Ensembles of randomized trees using diverse distributed representations of clinical events
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Ensembles of randomized trees using diverse distributed representations of clinical events

Henriksson, Aron ; Zhao, Jing ; Dalianis, Hercules ; Boström, Henrik

BMC medical informatics and decision making, 2016-07, Vol.16 Suppl 2 (Suppl 2), p.69-69, Article 69 [Periódico revisado por pares]

England: BioMed Central Ltd

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