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Accurate Blood-Based Diagnostic Biosignatures for Alzheimer's Disease via Automated Machine Learning.
In Journal of clinical medicine
Karaglani Makrina, Gourlia Krystallia, Tsamardinos Ioannis, Chatzaki Ekaterini
Alzheimer’s disease, blood, classifier, machine learning, predictive model
In Journal of biomedical semantics ; h5-index 23.0
Kajiyama Kohei, Horiguchi Hiromasa, Okumura Takashi, Morita Mizuki, Kano Yoshinobu
De-identification, Electronic health records, Japanese language
Utilizing imbalanced electronic health records to predict acute kidney injury by ensemble learning and time series model.
In BMC medical informatics and decision making ; h5-index 38.0
Wang Yuan, Wei Yake, Yang Hao, Li Jingwei, Zhou Yubo, Wu Qin
Acute kidney injury (AKI), Drug combination, ETSM, Ensemble learning, Prediction
Viral pandemic preparedness: A pluripotent stem cell-based machine-learning platform for simulating SARS-CoV-2 infection to enable drug discovery and repurposing.
In Stem cells translational medicine
Esmail Sally, Danter Wayne R
DeepNEU, SARS-CoV-2, antiviral, drug discovery and repurposing, pandemic preparedness, unsupervised learning
Transcription factor expression as a predictor of colon cancer prognosis: a machine learning practice.
In BMC medical genomics
Liu Jiannan, Dong Chuanpeng, Jiang Guanglong, Lu Xiaoyu, Liu Yunlong, Wu Huanmei
Cancer prognosis, Colon cancer, Machine learning, Transcription factor
In PloS one ; h5-index 176.0
Goodman-Meza David, Rudas Akos, Chiang Jeffrey N, Adamson Paul C, Ebinger Joseph, Sun Nancy, Botting Patrick, Fulcher Jennifer A, Saab Faysal G, Brook Rachel, Eskin Eleazar, An Ulzee, Kordi Misagh, Jew Brandon, Balliu Brunilda, Chen Zeyuan, Hill Brian L, Rahmani Elior, Halperin Eran, Manuel Vladimir