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In Alzheimer's & dementia : the journal of the Alzheimer's Association
Luckett Patrick H, McCullough Austin, Gordon Brian A, Strain Jeremy, Flores Shaney, Dincer Aylin, McCarthy John, Kuffner Todd, Stern Ari, Meeker Karin L, Berman Sarah B, Chhatwal Jasmeer P, Cruchaga Carlos, Fagan Anne M, Farlow Martin R, Fox Nick C, Jucker Mathias, Levin Johannes, Masters Colin L, Mori Hiroshi, Noble James M, Salloway Stephen, Schofield Peter R, Brickman Adam M, Brooks William S, Cash David M, Fulham Michael J, Ghetti Bernardino, Jack Clifford R, Vöglein Jonathan, Klunk William, Koeppe Robert, Oh Hwamee, Su Yi, Weiner Michael, Wang Qing, Swisher Laura, Marcus Dan, Koudelis Deborah, Joseph-Mathurin Nelly, Cash Lisa, Hornbeck Russ, Xiong Chengjie, Perrin Richard J, Karch Celeste M, Hassenstab Jason, McDade Eric, Morris John C, Benzinger Tammie L S, Bateman Randall J, Ances Beau M
Pittsburgh compound B (PiB), “autosomal dominant Alzheimers disease (ADAD)”, fluorodeoxyglucose (FDG), machine learning, magnetic resonance imaging (MRI)
Co-designing diagnosis: Towards a responsible integration of Machine Learning decision-support systems in medical diagnostics.
In Journal of evaluation in clinical practice
Kudina Olya, de Boer Bas
Machine Learning, hermeneutics, medical diagnosis, technological mediation
Performance assessment of different machine learning approaches in predicting diabetic ketoacidosis in adults with type 1 diabetes using electronic health records data.
In Pharmacoepidemiology and drug safety
Li Lin, Lee Chuang-Chung, Zhou Fang Liz, Molony Cliona, Doder Zoran, Zalmover Evgeny, Sharma Kristen, Juhaeri Juhaeri, Wu Chuntao
AUC, Diabetic ketoacidosis, Least absolute shrinkage and selection operator, Logistic regression, Machine learning, Prediction model
DeepControl: 2DRF pulses facilitating B 1 + inhomogeneity and B0 off-resonance compensation in vivo at 7 T.
In Magnetic resonance in medicine ; h5-index 66.0
Vinding Mads Sloth, Aigner Christoph Stefan, Schmitter Sebastian, Lund Torben Ellegaard
2DRF pulses, 7 T, artificial intelligence, deep learning, optimal control
Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning.
In International journal of environmental research and public health ; h5-index 73.0
Fasano Fabrizio, Addante Anna Sabrina, Valenzano Barbara, Scannicchio Giovanni
deep learning, door to door service, municipal collection centers, municipal solid waste, separate collection, waste management
Biochemical features and mutations of key proteins in SARS-CoV-2 and their impacts on RNA therapeutics.
In Biochemical pharmacology ; h5-index 61.0
Zeng Li, Li Dongying, Tong Weida, Shi Tieliu, Ning Baitang
COVID-19, Drug safety and drug efficacy, Mutation, RNA therapeutics, SARS-CoV-2