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Increasing the Density of Laboratory Measures for Machine Learning Applications.
In Journal of clinical medicine
BACKGROUND :
METHOD :
RESULTS :
CONCLUSIONS :
Abedi Vida, Li Jiang, Shivakumar Manu K, Avula Venkatesh, Chaudhary Durgesh P, Shellenberger Matthew J, Khara Harshit S, Zhang Yanfei, Lee Ming Ta Michael, Wolk Donna M, Yeasin Mohammed, Hontecillas Raquel, Bassaganya-Riera Josep, Zand Ramin
2020-Dec-30
C. difficile infection, EHR, complex diseases, electronic health records, imputation, inflammatory bowel disease, laboratory measures, machine learning, medical informatics, osteoarthritis
A Sentiment Analysis Approach to Predict an Individual's Awareness of the Precautionary Procedures to Prevent COVID-19 Outbreaks in Saudi Arabia.
In International journal of environmental research and public health ; h5-index 73.0
Aljameel Sumayh S, Alabbad Dina A, Alzahrani Norah A, Alqarni Shouq M, Alamoudi Fatimah A, Babili Lana M, Aljaafary Somiah K, Alshamrani Fatima M
2020-12-30
Arabic sentiment analysis, K-nearest neighbor, N-gram, Twitter, machine learning, natural language processing, naïve bayes, support vector machine

Designing a Randomized Trial with an Age Simulation Suit-Representing People with Health Impairments.
In Healthcare (Basel, Switzerland)
Timm Ingo J, Spaderna Heike, Rodermund Stephanie C, Lohr Christian, Buettner Ricardo, Berndt Jan Ole
2020-Dec-30
experimental design, fitness tracker, physical activity, questionnaires

Probabilistic Predictions with Federated Learning.
In Entropy (Basel, Switzerland)
Thorgeirsson Adam Thor, Gauterin Frank
2020-Dec-30
Bayesian deep learning, federated learning, predictive uncertainty, probabilistic machine learning
Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19.
In Diagnostics (Basel, Switzerland)
Guiot Julien, Vaidyanathan Akshayaa, Deprez Louis, Zerka Fadila, Danthine Denis, Frix Anne-Noëlle, Thys Marie, Henket Monique, Canivet Gregory, Mathieu Stephane, Eftaxia Evanthia, Lambin Philippe, Tsoutzidis Nathan, Miraglio Benjamin, Walsh Sean, Moutschen Michel, Louis Renaud, Meunier Paul, Vos Wim, Leijenaar Ralph T H, Lovinfosse Pierre
2020-Dec-30
COVID-19, artificial intelligence, computed tomography, machine learning, radiomics
Factors associated with worsening oxygenation in patient with non-severe COVID-19 pneumonia.
In Tuberculosis and respiratory diseases
Background :
Methods :
Results :
Conclusion :
Hahm Cho Rom, Lee Young Kyung, Oh Dong Hyun, Ahn Mi Young, Choi Jae-Phil, Kang Na Ree, Oh Jungkyun, Choi Hanzo, Kim Suhyun
2021-Jan-05
COVID-19, Computed tomography, Oxygenation, Pneumonia, artificial intelligence
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