R25 VOICE Section 4 - ExEmplar Clinical Machine Learning

Papers discussed in this Section 4 podcast: Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Ng, Nigam H. Shah. Improving Palliative Care with Deep Learning. arXiv:1711.06402 Frizzell JD, Liang L, Schulte PJ, Yancy CW, Heidenreich PA, Hernandez AF, Bhatt DL, Fonarow GC, Laskey WK. Prediction of 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure Comparison of Machine Learning and Other Statistical Approaches. JAMA Cardiol. 2017;2(2):204–209. doi:10.1001/jamacardio.2016.3956 Joseph Futoma, Sanjay Hariharan, Mark Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O'Brien, Katherine Heller. An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection. arXiv:1708.05894 Riccardo Miotto, Li Li, Brian A. Kidd & Joel T. Dudley. Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records. Scientific Reports 6, Article number: 26094 (2016) doi:10.1038/srep26094 Podcast Contents: Why These Papers? Predict 30 day all cause readmission How I was surprised. Appreciation for data inputs. Improving the classification Better representation through deep learning. Consider time rather than a snapshot of a given admission. Consider severity of the diseases. Consider medication dosages as a proxy for disease severity. Palliative Care Observation Windows Area under the Precision Recall Curve. The target is a proxy. Model explanation. Deep patient Building good features. Dealing with noisy data. Sparsity in the number of notes per patient. Sparsity in the number of patients with a feature. Topic Modeling. ICD-9 Granularity. Tools Open Biomedical Annotator Early Sepsis Undefined time zero. Dealing with time series. irregularly spaced recording. Informed missingness. Case control matching. Matched lookback. Realtime validation. Student Questions

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R25 VOICE Section 4 - ExEmplar Clinical Machine Learning is an episode from R25 VOICE by Yin Aphinyanaphongs.

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This episode was published on Jan 26, 2018.

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