论文信息 - Turning the crank for machine learning: ease, at what expense? - 字舞流文

Turning the crank for machine learning: ease, at what expense?

Marzyeh Ghassemi | Steven Horng | Tom J. Pollard | Jenna Wiens | Trishan Panch | Heather Mattie | Irene Chen | Emily Lindemer | Danny Wong

[1] David C. Kale,et al. Do no harm: a roadmap for responsible machine learning for health care , 2019, Nature Medicine.

[2] Leo Anthony Celi,et al. The “inconvenient truth” about AI in healthcare , 2019, npj Digital Medicine.

[3] Andrew L. Beam,et al. Practical guidance on artificial intelligence for health-care data. , 2019, The Lancet. Digital health.

[4] R. Hofmann-Wellenhof,et al. Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition. , 2019, JAMA dermatology.

[5] David Sontag,et al. Why Is My Classifier Discriminatory? , 2018, NeurIPS.

[6] Lucas M Bachmann,et al. Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study. , 2019, The Lancet. Digital health.