Frank D. Gilliland

A Mobile Health Approach to Improving Personal Exposure Assessment: Using Mobile Sensor Data and Machine Learning to Predict Key Microenvironments

Rima Habre, Sandrah P. Eckel, Kenan Li, 2018 .

Automated Digital Microscopy in New Tuberculosis Diagnostic Algorithms Can It Boost Case Finding

Kiros Berhane, Frank D. Gilliland, Ketan Shankardass, 2015 .

W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets

José Luis Ambite, Rima Habre, Sandrah P. Eckel, 2021, Sensors.

The Effects of Ambient Air Pollution on School Absenteeism Due to Respiratory Illnesses

Kiros Berhane, Frank D. Gilliland, Rob McConnell, 2001, Epidemiology.

Understanding the importance of key risk factors in predicting chronic bronchitic symptoms using a machine learning approach

Sandrah P. Eckel, Huiyu Deng, Robert Urman, 2019, BMC Medical Research Methodology.

Prenatal tobacco smoke exposure affects global and gene-specific DNA methylation.

Frank D. Gilliland, Carrie V. Breton, Hyang-Min Byun, 2009, American journal of respiratory and critical care medicine.

Residential Traffic-Related Pollution Exposures and Exhaled Nitric Oxide in the Children’s Health Study

Kiros Berhane, Sandrah P. Eckel, William S. Linn, 2011, Environmental health perspectives.

A genome-wide association meta-analysis identifies new childhood obesity loci

Inês Barroso, Mark I. McCarthy, Philippe Froguel, 2012, Nature Genetics.

Birth Outcomes and Prenatal Exposure to Ozone, Carbon Monoxide, and Particulate Matter: Results from the Children’s Health Study

Joshua Millstein, Frank D. Gilliland, F. Lurmann, 2005, Environmental health perspectives.

Ethnic-specific associations of rare and low-frequency DNA sequence variants with asthma

Scott T. Weiss, Rasika A. Mathias, Oren E. Livne, 2015, Nature Communications.