Welcome to the journal club for the Department of Biomedical Informatics at UCSD.
We present and critique literature on machine learning, signal processing, and computation in biomedicine.
Sessions are moderated by Professor Shamim Nemati.
Altman Clinical and Translational Research Institute (ACTRI)
9452 Medical Center Drive
La Jolla, CA - 92093
(For room number, see below)
|Date||Time||Room||Presenter||PDFs of Papers & Slides ( )|
|09/12||11am||2W-516||Supreeth||On the interpretability of machine learningbased model for predicting hypertension Extra: Blog post on LIME, Blog post on Shapley Values|
|08/15||1pm||2W-516||Jejo Koola||A clinically applicable approach to continuous prediction of future acute kidney injury|
|07/12||11am||4E-111||Gabriel||Personal clinical history predicts antibiotic resistance of urinary tract infections|
|07/02||2pm||2W-516||Supreeth||Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis - Continued|
|06/20||11am||2W-516||Supreeth||Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis and Supplementary Material|
|05/17||3pm||-||Supreeth||Electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation and Objecting to experiments that compare two unobjectionable policies or treatments|
|02/25||3pm||-||Matt||Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis|
|02/11||3pm||-||Russell||Sepsis as a model for improving diagnosis and Evaluating the impact of a computerized surveillance algorithm and decision support system on sepsis mortality|
|02/07||4pm||-||Supreeth||Exponentially Weighted Imitation Learning for Batched Historical Data|
|01/09||3pm||-||Russell||Evaluating a New Marker for Risk Prediction Using the Test Tradeoff: An Update Decision Analysis for the Evaluation of Diagnostic Tests, Prediction Models, and Molecular Markers Decision Analysis|
|Date||Time||Presenter||PDFs of Papers & Slides ( )|
|09/23||11am||Chris||Control of Confounding and Reporting of Results in Causal Inference Studies Examples of DAG Strobe Statement Strobe Paper|
Reminder emails are sent out via the BMIJC googlegroup listserv.
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Please spread the word to colleagues; anyone is welcome to attend.
Note this website is the gold standard for meeting locations, times, and dates.
|Date||Presenter||PDFs of Papers & Slides ( )|
|12/05/18||Russell||The challenge of implementing AI models in the ICU To Trust Or Not To Trust A Classifier Supplement|
|11/16/18||Russell/Supreeth||Relational inductive biases, deep learning, and graph networks|
|10/24/18||Russell||The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care Supplementary Materials|
|10/03/18||Supreeth||Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation|
|09/28/18||Supreeth||Estimating attributable fraction of mortality from sepsis to inform clinical trials Supplementary Materials|
|09/12/18||Russell||The reusable holdout: Preserving validity in adaptive data analysis Supplementary Materials|
|03/07/18||Supreeth||Scalable and accurate deep learning for Electronic Health Records|
|01/31/19||Supreeth||Learning to cluster in order to transfer across domains and tasks|
|01/24/18||Azade||Maximum Likelihood Estimation, Weibull cox proportional hazards model|
|12/14/17||Supreeth||Neural Network based clustering using pair-wise constraints|
|07/13/17||Erik Reinertsen||Transfer Entropy Estimation and Directional Coupling Change Detection in Biomedical Time Series|
|07/06/17||Supreeth||Doubly Robust Policy Evaluation and Learning|
|06/29/17||Supreeth||Doubly Robust Estimation of Causal Effects|
|06/22/17||Supreeth||Nonlinear Inverse Reinforcement Learning with Gaussian Processes|
|06/07/17||Supreeth||Doctor AI: Predicting Clinical Events via Recurrent Neural Networks|
|06/22/16||Mark Connolly||The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI|
|05/18/16||Sahar Harati||Speech Emotion Recognition Using Deep Neural Network and Extreme Learning Machine|
|04/27/16||Jitesh Punjabi||Using Anchors to Estimate Clinical State without Labelee Data|
|04/13/16||Supreeth Prajwal||OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records|
|03/30/16||Ziyi Li||Using generalized estimating equations for longitudinal data analysis|
|03/02/16||Erik Reinertsen||Major depressive disorder subtypes to predict long-term course|
|02/17/16||Myles McCrary||Real-time prediction of mortality, readmission, and length of stay|