{"id":630,"date":"2018-05-13T09:58:03","date_gmt":"2018-05-13T13:58:03","guid":{"rendered":"https:\/\/events.mcs.cmu.edu\/mlse\/?page_id=630"},"modified":"2018-06-05T10:19:29","modified_gmt":"2018-06-05T14:19:29","slug":"bme-healthcare-informatics-program","status":"publish","type":"page","link":"https:\/\/events.mcs.cmu.edu\/mlse\/bme-healthcare-informatics-program\/","title":{"rendered":"BME &#8211; Healthcare Informatics Program"},"content":{"rendered":"<div id=\"pl-630\" class=\"panel-layout\">\n<div id=\"pg-630-0\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-630-0-0\" class=\"panel-grid-cell\">\n<div id=\"panel-630-0-0-0\" class=\"so-panel widget widget_sow-editor panel-first-child\">\n<div class=\"so-widget-sow-editor so-widget-sow-editor-base\">\n<div class=\"siteorigin-widget-tinymce textwidget\">\n<h2><strong>June 7th<\/strong><\/h2>\n<ul>\n<li><strong>Session Topic &#8211; Machine Learning in Health- and Bio- Informatics<\/strong><\/li>\n<li>9:00-9:30 &#8211; Aidong Zhang (NSF) \u2013 \u201cPatient Similarity Learning for Personalized Healthcare\u201d<\/li>\n<li>9:30-10:00 &#8211;\u00a0Srinivas Aluru (Georgia Tech) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/ML-Aluru.docx\">Parallel Machine Learning Approaches for Reverse Engineering Genome-Scale Networks<\/a><a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/2018\/05\/ML-Aluru.docx\"><\/a>\u201d<\/li>\n<li>10:00-10:30 &#8211;\u00a0Jeremy Weiss (CMU) \u2013 \u201cMachine Learning and Survival Analysis to Forecast Clinical Risk from Electronic Health Records\u201d<\/li>\n<li><strong>Coffee Break<\/strong><\/li>\n<li><strong>Session Topic &#8211; Bioinformatics\u00a0<\/strong><\/li>\n<li>11:00-11:30 &#8211;\u00a0Mark Borodovsky (Georgia Tech) \u2013 \u201cImproved Gene Prediction in Prokaryotic and Eukaryotic Genomes \u201d<\/li>\n<li>11:30-12:00 &#8211;\u00a0Gregory Cooper (University of Pittsburgh) \u2013 \u201cCausal Network Discovery from Biomedical Data\u201d<\/li>\n<li>12:00-12:30 &#8211; Steve Qin (Emory University) \u2013 \u201cApply Machine Learning Methods to Predict New Disease Variants Genome-Wide\u201d<\/li>\n<li><\/li>\n<li><strong>12:30-1:30 &#8211; Lunch\/Posters<\/strong><\/li>\n<li>1:30-2:30 &#8211; Plenary<\/li>\n<li><strong>Session Topic &#8211; Neuroinformatics<\/strong><\/li>\n<li>2:30-3:00 &#8211; Steve Chase (CMU) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/2018\/04\/Abstract.docx\">Using machine learning to understand biological learning<\/a>\u201d<\/li>\n<li>3:00-3:30 &#8211; Eva Dyer (Georgia Tech) \u2013 \u201cFinding low-dimensional structure in large-scale neural datasets\u201d<\/li>\n<li>3:30-4:00 &#8211; Daniel Clymer (CMU) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/Clymer_MLSE_Abstract.docx\">Convolutional Neural Networks to Improve Radiologist Workflow on 3D Medical Images: Application to Shoulder Labral Tears<\/a>\u201d<\/li>\n<li><strong>Coffee Break<\/strong><\/li>\n<li><strong>Session Topic &#8211; Bioinformatics and Health Informatics<\/strong><\/li>\n<li>4:30-5:00 &#8211;\u00a0Peng Qiu (Georgia Tech) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/abstract_Qiu.txt\">Understanding cellular heterogeneity using single-cell data<\/a>\u201d<\/li>\n<li>5:00-5:30 &#8211;\u00a0Ankit Agrawal (Northwestern) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/Agrawal_MLSE18_healthcare.pdf\">Big Data Analytics for Deriving Predictive Healthcare Insights from Electronic Healthcare Records<\/a>\u201d<\/li>\n<li>5:30-6:00 &#8211;\u00a0May Dongmei Wang (Georgia Tech) \u2013 \u201cIntegrated Deep Learning of Genomics, Imaging, and EHR Data in ADNI Diagnosis\u201d<\/li>\n<\/ul>\n<h2><strong>June 8th<\/strong><\/h2>\n<ul>\n<li><strong>Session Topic &#8211; Neuroinformatics<\/strong><\/li>\n<li>9:00-9:30 &#8211; Rob Kass (CMU) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/TorusGraphAbstract.pdf\">Torus Graphs for Multivariate Phase Coupling Analysis<\/a>\u201d<\/li>\n<li>9:30-10:00 &#8211; Chethan Pandarinth (GT\/Emory) \u2013 <a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE-abstract.docx\">\u201cLFADS: Inferring precise estimates of neural population state and dynamics using sequential auto-encoders<\/a>\u201d<\/li>\n<li>10:00-10:30 &#8211; Will Bishop (CMU) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/stableBCI.pdf\">Stabilized Brain-Computer Interface through Neural Manifold Alignmen<\/a>t\u201d<\/li>\n<li><strong>Coffee Break<\/strong><\/li>\n<li><strong>Session Topic &#8211; Healthcare Informatics<\/strong><\/li>\n<li>11:00-11:30 &#8211; David Goldsman (Georgia Tech) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/CMU-abstract-goldsman.docx\">Using Machine Learning and Simulation to Compare Increased Risk Kidney Transplant Survival to Waiting for a Non-Increased Risk Organ for Hepatitis C Negative Recipients<\/a>\u201d<\/li>\n<li>11:30-12:00 &#8211; Melissa Knothe-Tate (UNSW) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MSEMabstractMKTetalMachineLearning.pdf\">Towards Cellular Epidemiology of Degenerative Disease Using Geographic Information Systems, Multi-beam Electron Microscopy, and Machine Learning<\/a>\u201d<\/li>\n<li>12:00-12:30 &#8211;\u00a0Munmun De Choudhury (Georgia Tech) \u2013 \u201cHow Machine Learning and Social Media Can Transform Psychiatric Diagnosis and Care\u201d<\/li>\n<li><\/li>\n<li><strong>12:30-1:30 &#8211; Lunch\/Posters<\/strong><\/li>\n<li>1:30-2:30 &#8211; Plenary<\/li>\n<li><strong>Session Topic &#8211; Systems Biology<\/strong><\/li>\n<li>2:30-3:00 &#8211; Russell Schwartz (CMU) \u2013 \u201cLearning models of clonal evolution from cancer genomic data\u201d<\/li>\n<li>3:00-3:30 &#8211; Mark Styczynski (Georgia Tech) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/mlse2018Abstract.pdf\">Machine Learning in Systems-Scale Metabolic Analysis and Modeling<\/a>\u201d<\/li>\n<li>3:30-4:00 &#8211; Matt Ruffalo (CMU) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE-abstract-1.docx\">Network-Guided Prediction of Aromatase Inhibitor Response in Breast Cancer<\/a>\u201d<\/li>\n<li><strong>Coffee Break<\/strong><\/li>\n<li><strong>Session Topic &#8211; Healthcare Informatics<\/strong><\/li>\n<li>4:30-5:00 &#8211; Leontios Hadjileontiadis (Khalifa University of Science and Technology) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE-abstract-Samlidis.docx\">Analysis of keystroke dynamics in mobile touchscreen for depression detection<\/a>\u201d<\/li>\n<li>5:00-5:30 &#8211; Asim Smailagic (CMU) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE-abstract_smailagic.docx\">Machine Learning and Virtual Coaches\u201d<\/a><\/li>\n<li>5:30-6:00 &#8211; TBD<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"panel-630-0-0-1\" class=\"so-panel widget widget_sow-editor panel-last-child\">\n<div class=\"so-widget-sow-editor so-widget-sow-editor-base\">\n<div class=\"siteorigin-widget-tinymce textwidget\">\n<h3 style=\"text-align: center\">Posters<\/h3>\n<p>Anis Davoudi (University of Florida) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE-abstract-template-4.docx\">Characterizing Functional Status in Delirium Patients in the Intensive Care Unit Using Machine Vision Techniques<\/a>\u201d<\/p>\n<p>Shivesh Chaudhary (Georgia Tech) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/mlse_abstract_v5.pdf\">Automatic identity determination of neurons in whole-brain recordings using Conditional Random Fields<\/a>\u201d<\/p>\n<p>Arna Ghosh (McGill University) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/mlse_abstract_Arna.pdf\">Hierarchical Deep Convolutional Network for Analysis of Motor task EEG Data\u201d<\/a><\/p>\n<p>Kathleen Bates (Georgia Tech) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE-abstract_final.docx\">Expanding the behavior space of the worm<\/a>\u201d<\/p>\n<p>Alvaro Ulloa (Geisinger) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/ulloa2018simulation_v2-1.docx\">Electronic Health Records Simulation Framework for Unsupervised Clustering<\/a>\u201d<\/p>\n<p>Yuanda Zhu (Georgia Tech) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/heart_rejection_abstract_MLSE_version3.pdf\">Improved Prediction on Heart Transplant Rejection Using Convolutional Autoencoder and Multiple Instance Learning on Whole-Slide Imaging<\/a>\u201d<\/p>\n<p>Erik Jorgensen (Georgia Tech) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE_abstract_Erik_Jorgensen.pdf\">A sparse modeling framework for substructure prediction in the brain<\/a>\u201d<\/p>\n<p>Daniel Roudnitsky (University of Maryland) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/abstract2-1.docx\">Comparative Machine Learning Approaches for Parkinson\u2019s Disease Classification Using Acoustic Data<\/a>\u201d<\/p>\n<p>Octavio Mesner (CMU) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/mesnerMLSEabstractTK-EC-1TK.docx\">A nonparametric approach to variable selection applied to an observational clinical dataset<\/a>\u201d<\/p>\n<p>Greeshma Agasthya (Geisinger) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/EchoStrains_MLSE_Agasthya.pdf\">A machine Learning approach to understanding the importance of echo strain measurements in cardiac outcomes research<\/a>\u201d<\/p>\n<p>Manar D Samad (Geisinger) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/echoMortalityAbstract.pdf\">A Machine Learning Framework to Optimize Patient Outcome Predictions Using Large Electronic Health Records and Clinically Acquired Imaging Measurements<\/a>\u201d<\/p>\n<p>Luna Zhang (<span>BigBear, Inc.<\/span>) &#8211; &#8220;<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/2018\/05\/MLSE-abstract-L-Zhang-revised.pdf\"><span>Multi-function Convolutional Neural Networks for More Accurate Alzheimer\u2019s Disease Diagnosis Using Brain MRI Images than Traditional Convolutional Neural Networks<\/span><\/a>&#8220;<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>June 7th Session Topic &#8211; Machine Learning in Health- and Bio- Informatics 9:00-9:30 &#8211; Aidong Zhang (NSF) \u2013 \u201cPatient Similarity Learning for Personalized Healthcare\u201d 9:30-10:00 &#8211;\u00a0Srinivas Aluru (Georgia Tech) \u2013 \u201cParallel Machine Learning Approaches for Reverse Engineering Genome-Scale Networks\u201d 10:00-10:30 &#8211;\u00a0Jeremy Weiss (CMU) \u2013 \u201cMachine Learning and Survival Analysis to [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":5,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/template-fullwidth.php","meta":{"footnotes":""},"class_list":["post-630","page","type-page","status-publish","has-post-thumbnail","hentry"],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/P9mDlk-aa","_links":{"self":[{"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/pages\/630","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/comments?post=630"}],"version-history":[{"count":42,"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/pages\/630\/revisions"}],"predecessor-version":[{"id":983,"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/pages\/630\/revisions\/983"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/media\/5"}],"wp:attachment":[{"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/media?parent=630"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}