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Refinado por: Base de dados/Biblioteca: DOAJ Directory of Open Access Journals remover assunto: Vorhersagemodell remover Maschinelles Lernen remover Humans remover
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Early detection of type 2 diabetes mellitus using machine learning-based prediction models
Early detection of type 2 diabetes mellitus using machine learning-based prediction models
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Early detection of type 2 diabetes mellitus using machine learning-based prediction models

Kopitar, Leon ; Kocbek, Primoz ; Cilar, Leona ; Sheikh, Aziz ; Stiglic, Gregor

Scientific reports, 2020-07, Vol.10 (1), p.11981, Article 11981 [Periódico revisado por pares]

England: Nature Publishing Group

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Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study
Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study
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Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study

An, Chansik ; Lim, Hyunsun ; Kim, Dong-Wook ; Chang, Jung Hyun ; Choi, Yoon Jung ; Kim, Seong Woo

Scientific reports, 2020-10, Vol.10 (1), p.18716-18716, Article 18716 [Periódico revisado por pares]

England: Nature Publishing Group

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3
Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning
Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning
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Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning

Xu, Wan ; Sun, Nan-Nan ; Gao, Hai-Nv ; Chen, Zhi-Yuan ; Yang, Ya ; Ju, Bin ; Tang, Ling-Ling

Scientific reports, 2021-02, Vol.11 (1), p.2933-12, Article 2933 [Periódico revisado por pares]

England: Nature Publishing Group

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4
Multi-scale habitat modelling and predicting change in the distribution of tiger and leopard using random forest algorithm
Multi-scale habitat modelling and predicting change in the distribution of tiger and leopard using random forest algorithm
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Multi-scale habitat modelling and predicting change in the distribution of tiger and leopard using random forest algorithm

Rather, Tahir A ; Kumar, Sharad ; Khan, Jamal A

Scientific reports, 2020-07, Vol.10 (1), p.11473, Article 11473 [Periódico revisado por pares]

England: Nature Publishing Group

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5
Predicting bacteriophage hosts based on sequences of annotated receptor-binding proteins
Predicting bacteriophage hosts based on sequences of annotated receptor-binding proteins
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Predicting bacteriophage hosts based on sequences of annotated receptor-binding proteins

Boeckaerts, Dimitri ; Stock, Michiel ; Criel, Bjorn ; Gerstmans, Hans ; De Baets, Bernard ; Briers, Yves

Scientific reports, 2021-01, Vol.11 (1), p.1467-1467, Article 1467 [Periódico revisado por pares]

England: Nature Publishing Group

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6
TW-SIR: time-window based SIR for COVID-19 forecasts
TW-SIR: time-window based SIR for COVID-19 forecasts
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TW-SIR: time-window based SIR for COVID-19 forecasts

Liao, Zhifang ; Lan, Peng ; Liao, Zhining ; Zhang, Yan ; Liu, Shengzong

Scientific reports, 2020-12, Vol.10 (1), p.22454-22454, Article 22454 [Periódico revisado por pares]

England: Nature Publishing Group

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7
Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study
Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study
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Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study

Lutz, Wolfgang ; Schwartz, Brian ; Hofmann, Stefan G ; Fisher, Aaron J ; Husen, Kristin ; Rubel, Julian A

Scientific reports, 2018-05, Vol.8 (1), p.7819-9, Article 7819 [Periódico revisado por pares]

England: Nature Publishing Group

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8
Using machine learning-based analysis for behavioral differentiation between anxiety and depression
Using machine learning-based analysis for behavioral differentiation between anxiety and depression
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Using machine learning-based analysis for behavioral differentiation between anxiety and depression

Richter, Thalia ; Fishbain, Barak ; Markus, Andrey ; Richter-Levin, Gal ; Okon-Singer, Hadas

Scientific reports, 2020-10, Vol.10 (1), p.16381-16381, Article 16381 [Periódico revisado por pares]

England: Nature Publishing Group

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9
Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980-2015
Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980-2015
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Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980-2015

Malacova, Eva ; Tippaya, Sawitchaya ; Bailey, Helen D ; Chai, Kevin ; Farrant, Brad M ; Gebremedhin, Amanuel T ; Leonard, Helen ; Marinovich, Michael L ; Nassar, Natasha ; Phatak, Aloke ; Raynes-Greenow, Camille ; Regan, Annette K ; Shand, Antonia W ; Shepherd, Carrington C J ; Srinivasjois, Ravisha ; Tessema, Gizachew A ; Pereira, Gavin

Scientific reports, 2020-03, Vol.10 (1), p.5354-5354, Article 5354 [Periódico revisado por pares]

England: Nature Publishing Group

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10
Prediction of Intracranial Aneurysm Risk using Machine Learning
Prediction of Intracranial Aneurysm Risk using Machine Learning
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Prediction of Intracranial Aneurysm Risk using Machine Learning

Heo, Jaehyuk ; Park, Sang Jun ; Kang, Si-Hyuck ; Oh, Chang Wan ; Bang, Jae Seung ; Kim, Tackeun

Scientific reports, 2020-04, Vol.10 (1), p.6921, Article 6921 [Periódico revisado por pares]

England: Nature Publishing Group

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