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Hub gene identification and prognostic model construction for isocitrate dehydrogenase mutation in glioma.
In Translational oncology
Jia Yanfei, Yang Wenzhen, Tang Bo, Feng Qian, Dong Zhiqiang
2020-Dec-05
Glioma, IDH mutation, Machine learning, Prognosis, WGCNA

Are Classification Deep Neural Networks Good for Blind Image Watermarking?
In Entropy (Basel, Switzerland)
Vukotić Vedran, Chappelier Vivien, Furon Teddy
2020-Feb-08
Deep Learning, digital watermarking, feature extraction

Machine learning model for predicting malaria using clinical information.
In Computers in biology and medicine
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Lee You Won, Choi Jae Woo, Shin Eun-Hee
2020-Nov-28
Case reports, Diagnosis, Machine learning, Malaria, Patient information

Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter.
In Computers in biology and medicine
BACKGROUND :
MATERIALS AND METHODS :
RESULTS :
DISCUSSION :
CONCLUSION :
Fodeh Samah Jamal, Al-Garadi Mohammed, Elsankary Osama, Perrone Jeanmarie, Becker William, Sarker Abeed
2020-Nov-20
Classification, Deep learning, Opioid abuse, Opioid misuse, Pain, Recreational opioid misuse, Twitter, Word2Vec

Language models are an effective representation learning technique for electronic health record data.
In Journal of biomedical informatics ; h5-index 55.0
Steinberg Ethan, Jung Ken, Fries Jason A, Corbin Conor K, Pfohl Stephen R, Shah Nigam H
2020-Dec-05
Electronic health record, Machine learning, Representation learning, Risk stratification, Transfer learning

Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction.
In Journal of biomedical informatics ; h5-index 55.0
Lybarger Kevin, Ostendorf Mari, Yetisgen Meliha
2020-Dec-05
Active learning, Machine learning, Natural language processing, Social determinants of health
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