The biweekly MiCHAMP Seminar Series is intended for MiCHAMP investigators and other invited speakers to present their funded research or proposals under development on data science, machine learning and predictive modeling.  Discussion is highly encouraged and trainees are welcome to attend with their faculty mentors. The Seminar Series reflects the rich multidisciplinary and collaborative nature of MiCHAMP, with membership from Medicine, Engineering, Statistics, Nursing, Public Health and Pharmacy.

Upcoming Seminars

Friday, February 23, 2:00 PM – 3:30 PM

Monica Konerman, MD

Assessing the Prevalence and Impact of Prescription Opioid Use Among Patients with Chronic Liver Disease

Location: IHPI COLLABORATORY (NCRC Bldg 10- G079)

 

Friday, March 9, 3:00 PM – 5:00 PM

Dr. Steffen Leonhardt, MD,  PhD, Professor, RWTH Aachen University, Aachen, Germany.

Thou Shalt Not Touch – Nonobtrusive and Noncontact Monitoring Techniques for Medical Applications

Location: Forum Hall at Palmer Commons (100 Washtenaw Ave., Ann Arbor, MI)

*this lecture is co-sponsored by MiCHAMP, MCIRCC, and U-M Department of Computational Medicine & Bioinformatics.

 

Wednesday, April 18, 4:00 PM – 5:00 PM

John P.A. Ioannidis, PhD, Stanford University – MIDAS Seminar Series

Location: Kahn Auditorium, Biomedical Science Research Building

Past Seminars

Andrew Gelman, PhD, Professor of statistics and political science and Director of the Applied Statistics Center at Columbia University.

What’s Wrong with ‘Evidence-Based Medicine’ and How Can We Do Better?

*this seminar was co-sponsored by MiCHAMP, Interdisciplinary Statistical Learning Workshop (LSA Political Science) & the Department of Philosophy

Friday, February 9th, 2018

 

Jeff McCullough, PhD

Causal Inference in Machine Learning with Applications for Heterogeneous Treatment Effects for Medical Device Utilization

January 26, 2018

 

Hallie Prescott, MD, MSc

Upcoming IIR on Hospital Performance Measurement

January 12, 2018

 

Mohammad Ghassemi

Healthcare 2.0: Integrating Health and Behavioral Data for AI-driven Care

January 10, 2018

Seth Klapman and Karandeep Singh, MD, MMSc

Digital Auscultation to Predict Echo Findings in Cardiovascular Disease

December 15, 2017

 

Wenshou Liu, PhD

Journal Club – Deep Learning

December 8, 2017

 

Yun Jiang, PhD, MS, RN

Mobile Sensor Data-to-Knowledge (MD2K) – NIH Training Institute 2017 Scholar

November 17, 2017

 

Akbar Waljee, MD, MSc, Ji Zhu, PhD, MSc, Xuefei Zhang, BS, Boang Liu, MA, and Tony Van

Predicting Hep C Progression Using Machine Learning

November 3, 2017

 

Tim Guetterman, PhD

Bioinformatics and Education

October 6, 2017

 

Tejas Prahlad, Dan Zeiberg, and Mike Sjoding, MD

Data-Driven Patient Risk Stratification for Acute Respiratory Distress Syndrome

September 22, 2017

 

Brahmajee Nallamothu, MD, MPH

Internal Medicine Bicentennial Presentation

September 8, 2017

 

James Davies

We Predict, and a Health Use Case

May 19, 2017

 

Mike Mathis, MD

Integrating Perioperative Care into the Diagnosis of Heart Failure: A Data Science Approach

May 12, 2017

 

Ravi Shah and Venk Murthy, MD, PhD

Integrated Cardiovascular Phenotyping and Molecular Characterization: From Populations to Molecules

May 5, 2017

 

Matt Churpek, MD, MPH, PhD

Using EHR Data to Detect Clinical Deterioration

April 28, 2017

 

Jack Iwashyna, MD, PhD

ResCU II – “Long-Term Trajectories of Recovery Following Serious Hospitalization with In-Hospital Cardiac Arrest”

April 21, 2017

 

Ryan Stidham, MD and Akbar Waljee, MD, MSc

Big Data / Better Data: Using Machine Vision in Crohn’s Disease

March 10, 2017

 

Srijan Sen, MD, PhD

Medical Internship as a Model to Identify Real-Time Objective Predictors of Depression under Stress

February 17, 2017

 

Ian Fox and Jenna Wiens, PhD

Contextual Motifs – Improving the Utility of Motifs for Analyzing Physiological Signals

January 27, 2017

 

Mike Sjoding, MD and Kayvan Najarian, PhD

New Machine-learning Paradigms to Improve Identification of Acute Respiratory Distress Syndrome

January 20, 2017

 

Anna Kratz, PhD

God is in the Details: Ambulatory Methods and Mysteries of Health-related Quality of Life

January 13, 2017

 

Adam Markovitz, MD, PhD, Mike Mathis, MD,  Jeremy Sussman, MD, MS

SPRINT Challenge Update – 3 Approaches and a Discussion

January 6, 2017

Sardar Ansari, PhD and Kayvan Najarian, PhD

Polyvinylidene Fluoride Based Sensor for Non-invasive Hemodynamic Monitoring

December 16, 2016

 

Venkatesh Murthy, MD, PhD

Molecular Markers of Early Cardiometabolic Health Transitions

December 9, 2016

 

Andy Ryan, PhD and Jeff McCullough, PhD

Nowcasting & Forecasting Health Expenditures

December 2, 2016

 

Allen Flynn, PharmD

Digital Library of Learning (Computable Knowledge Object Library System)

November 11, 2016

 

Karandeep Singh, MD, MMSc

Using Clinical Notes to Uncover Everyday Natural Experiments in Healthcare

October 28, 2016

 

Jeremy Sussman, MD, MS

Improving Doctors’ Report Card with Analytics:  Benefit-Based Performance Measurement in Cardiovascular Disease

October 21, 2016

 

Jacob Mack, MD, BS

SPRINT Challenge

October 7, 2016