Featured Events

Thursday, October 18, 2018, 1:00 PM – 5:30 PM

Join Fast Forward Medical Innovation for an exclusive health IT symposium to learn about the growing and inevitable intersection of technology and healthcare, along with research/innovation/commercialization opportunities in the arena of digital health and “big data”.

Location: BSRB Khan Auditorium & ABC Seminar Rooms

Registration required: https://innovation.medicine.umich.edu/digital-innovation-impact/

Monday November 12, 2018, 8:30 AM – 4:30 PM

Women in Big Data at Michigan Symposium

Location: Michigan League

This event is hosted by The Michigan Institute for Data Science (MIDAS). Registration is required.

Thursday, August 8 to Saturday, August 10, 2019

Machine Learning for Healthcare conference hosted by MiCHAMP. More information about this conference is coming soon. The 2018 conference is being hosted at Stanford University August 17-18, 2018.

Location: Rackham Auditorium

More information about the 2018 conference.

MiCHAMP Seminar Series

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 October 19, 2:00 – 3:30 PM

Jodyn Platt, MPH, PhD, Assistant Professor of Learning Health Sciences

Introducing Predictive Models into the Clinical Space: Designing Trustworthy Systems

Location: IHPI Collaboratory (NCRC Bldg 10- G079)

Friday November 2, 2:00 – 3:30 PM

Mike Sjoding, MD, Pulmonary and Critical Care Medicine, Internal Medicine, U-M
& Jenna Wiens, PhD, Computer Science and Engineering, U-M

Using Reinforcement Learning to Identify Optimal Treatment Policies for Acute Respiratory Failure

Location: IHPI Collaboratory (NCRC Bldg 10- G079)

Friday November 9, 2:00 – 3:30 PM

Karthik Duraisamy, PhD, Michigan Engineering, Michigan Institute for Computational Discovery and Engineering (MICDE)

Title TBA

Location: IHPI Collaboratory (NCRC Bldg 10- G079)

Friday December 7, 2:00 – 3:30 PM

Ben Weller, PhD, Michigan Institute for Teaching and Research in Economics (MITRE)

Predicting Septic Shock in Pediatric Intensive Care Units (PICUs)

Location: IHPI Collaboratory (NCRC Bldg 10- G079)

Friday December 14, 2:00 – 3:30 PM

Anna Gilbert, PhD & Jun Li, PhD, MIDAS Health Science Challenge recipients

An Overview of the MIDAS Single Cell Data Analysis Center: Analysis, Modeling, and Applications

Location: IHPI Collaboratory (NCRC Bldg 10- G079)

Friday January 25, 2:00 – 3:30 PM

Rich Gonzalez, PhD, Research Center for Group Dynamics, Institute for Social Research, U-M

Title TBA

Location: IHPI Collaboratory (NCRC Bldg 10- G079)

Past Seminars

Friday October 12

Ulysses Balis, MD, Professor of Pathology, U-M Medical School

Early Insights from the Application of Machine Vision and Machine Learning Techniques to Histopathological Subject Matter

Friday August 10

Vincent Liu, MD, MSc, Kaiser Permanente Northern California Division of Research

Towards Precision Delivery: Balancing Prediction and Phenotyping

June 20, 2018

Leo Celi, MD

The Challenge of Medical Artificial Intelligence

This was an MCIRCC event.

June 1, 2018

Elliott Brannon, MPH (MD/PhD student) & Karandeep Singh, MD, MMSc

Towards a Learning Health System to Reduce Emergency Department Visits at a Population Level

May 18, 2018

Mohammed Saeed, MD, PhD

Creating Healthcare Databases to Support Research in Machine Learning: Lessons Learnt from MIMIC

May 11, 2018

Donald Likosky, PhD & Michael Mathis, MD

Development and Evaluation of Novel Computer-Assisted Assessments of Technical and Non-technical Cardiac Surgery Quality

May  4, 2018  – MiCHAMP / CHOP / IHPI Combined Event

David Hodgson, MD, MPH,  University of Toronto

Change has its Enemies: Opportunities and Barriers in the Adoption of Machine Learning Methods in Oncology

 

Danielle Rodin, MD, MPH, University of Toronto

Variation in Cancer Spending: Implications for Value-Based Care

See the MiCHAMP News Post

April 18 to April 20, 2018

John P.A. Ioannidis, MD, DSc, Stanford University

• The Power of Bias and What to do About it
• Precision Health, Big Data and Evidence-Based Medicine—Contradictions or Companions?
View this seminar
• Reproducible and Useful Clinical Research: Mission Impossible?

For more information, see the MiCHAMP News

April 6, 2018

Jiaxuan Wang, BS, Ian Fox, & Jenna Wiens, PhD

The Advantage of Doubling: A Deep Reinforcement Learning Approach to Studying the Double Team in the NBA

March 23, 2018

Kayvan Najarian, PhD

Major Challenges of Using AI in Healthcare and Potential Solutions

March 9, 2018

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

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

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

February 9, 2018

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

January 26, 2018

Jeff McCullough, PhD

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

January 12, 2018

Hallie Prescott, MD, MSc

Upcoming IIR on Hospital Performance Measurement

January 10, 2018

Mohammad Ghassemi

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

 

December 15, 2017

Seth Klapman and Karandeep Singh, MD, MMSc

Digital Auscultation to Predict Echo Findings in Cardiovascular Disease

December 8, 2017

Wenshou Liu, PhD

Journal Club – Deep Learning

November 17, 2017

Yun Jiang, PhD, MS, RN

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

November 3, 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

October 19, 2017

John Spertus, MD, MPH, FACC, CCMR Distinguished Visiting Professor; Director, Health Outcomes Research, Saint Luke’s Mid American Heart Institute; Professor, University of Missouri-Kansas City.

The Past, Present and Future of Patient-Reported Outcomes

October 6, 2017

Tim Guetterman, PhD

Bioinformatics and Education

September 22, 2017

Tejas Prahlad, Dan Zeiberg, and Mike Sjoding, MD

Data-Driven Patient Risk Stratification for Acute Respiratory Distress Syndrome

September 8, 2017

Brahmajee Nallamothu, MD, MPH

Internal Medicine Bicentennial Presentation

May 19, 2017

James Davies

We Predict, and a Health Use Case

May 12, 2017

Mike Mathis, MD

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

May 5, 2017

Ravi Shah and Venk Murthy, MD, PhD

Integrated Cardiovascular Phenotyping and Molecular Characterization: From Populations to Molecules

April 28, 2017

Matt Churpek, MD, MPH, PhD

Using EHR Data to Detect Clinical Deterioration

April 21, 2017

Jack Iwashyna, MD, PhD

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

March 10, 2017

Ryan Stidham, MD & Akbar Waljee, MD, MSc

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

February 17, 2017

Srijan Sen, MD, PhD

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

January 27, 2017

Ian Fox and Jenna Wiens, PhD

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

January 20, 2017

Mike Sjoding, MD and Kayvan Najarian, PhD

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

January 13, 2017

Anna Kratz, PhD

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

January 6, 2017

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

SPRINT Challenge Update – 3 Approaches and a Discussion

December 16, 2016

Sardar Ansari, PhD and Kayvan Najarian, PhD

Polyvinylidene Fluoride Based Sensor for Non-invasive Hemodynamic Monitoring

December 9, 2016

Venkatesh Murthy, MD, PhD

Molecular Markers of Early Cardiometabolic Health Transitions

December 2, 2016

Andy Ryan, PhD and Jeff McCullough, PhD

Nowcasting & Forecasting Health Expenditures

November 11, 2016

Allen Flynn, PharmD

Digital Library of Learning (Computable Knowledge Object Library System)

October 28, 2016

Karandeep Singh, MD, MMSc

Using Clinical Notes to Uncover Everyday Natural Experiments in Healthcare

October 21, 2016

Jeremy Sussman, MD, MS

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

October 7, 2016

Jacob Mack, MD, BS

SPRINT Challenge