From Big Data to Artificial Intelligence: Harnessing Data Routinely Collected in the Process of Care.
暂无分享,去创建一个
[1] T. Frieden. Evidence for Health Decision Making — Beyond Randomized, Controlled Trials: The Changing Face of Clinical Trials , 2017, The New England journal of medicine.
[2] Fleur Fritz,et al. Electronic health records to facilitate clinical research , 2016, Clinical Research in Cardiology.
[3] Leo Anthony Celi,et al. Preparing a New Generation of Clinicians for the Era of Big Data. , 2015, Harvard medical student review.
[4] F. Della Corte,et al. Effects of Propofol on Patient-Ventilator Synchrony and Interaction During Pressure Support Ventilation and Neurally Adjusted Ventilatory Assist* , 2014, Critical care medicine.
[5] David J. Stone,et al. State of the art review: the data revolution in critical care , 2015, Critical Care.
[6] Jesse B. Hall,et al. Impact of Ventilator Adjustment and Sedation–Analgesia Practices on Severe Asynchrony in Patients Ventilated in Assist-Control Mode* , 2013, Critical care medicine.
[7] Subhashini Venugopalan,et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. , 2016, JAMA.
[8] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[9] David J. Stone,et al. "Big data" in the intensive care unit. Closing the data loop. , 2013, American journal of respiratory and critical care medicine.
[10] Andrew James,et al. Big Data in the Intensive Care Unit , 2017, AMIA.
[11] Ziad Obermeyer,et al. Lost in Thought - The Limits of the Human Mind and the Future of Medicine. , 2017, The New England journal of medicine.
[12] Sebastian Thrun,et al. Dermatologist-level classification of skin cancer with deep neural networks , 2017, Nature.
[13] Savino Spadaro,et al. Effects of Sigh on Regional Lung Strain and Ventilation Heterogeneity in Acute Respiratory Failure Patients Undergoing Assisted Mechanical Ventilation* , 2015, Critical care medicine.
[14] P. Pelosi,et al. Variable tidal volumes improve lung protective ventilation strategies in experimental lung injury. , 2009, American journal of respiratory and critical care medicine.
[15] David Albers,et al. The Association Between Ventilator Dyssynchrony, Delivered Tidal Volume, and Sedation Using a Novel Automated Ventilator Dyssynchrony Detection Algorithm* , 2018, Critical care medicine.