Marcus D. R. Klarqvist
text
Search
Search results
32 results found
Cohort Design and Natural Language Processing to Reduce Bias in Electronic Health Records Research: The Community Care Cohort Project
Khurshid, Shaan, Christopher Reeder, Lia X. Harrington, Pulkit Singh, Gopal Sarma, Samuel F. Friedman, Paolo Di Achille, et al. 2021. “Cohort Design and Natural Language Processing to Reduce Bias in Electronic Health Records Research: The Community Care Cohort Project”. MedRxiv, 2021.05.26.21257872.
Using Machine Learning to Elucidate the Spatial and Genetic Complexity of the Ascending Aorta
Nekoui, Mahan, James P. Pirruccello, Paolo Di Achille, Seung Hoan Choi, Samuel N. Friedman, Victor Nauffal, Kenney Ng, et al. 2021. “Using Machine Learning to Elucidate the Spatial and Genetic Complexity of the Ascending Aorta.”
Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction
Agrawal, Saaket, Marcus D.R. Klarqvist, Connor Emdin, Aniruddh P. Patel, Manish D. Paranjpe, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, and Amit V. Khera. 2021. “Selection of 51 Predictors from 13,782 Candidate Multimodal Features Using Machine Learning Improves Coronary Artery Disease Prediction”. Patterns, 100364.
ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation
Khurshid, Shaan, Samuel Friedman, Christopher Reeder, Paolo Di Achille, Nathaniel Diamant, Pulkit Singh, Lia X. Harrington, et al. 2022. “ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation”. Circulation 145 (2): 122-33.
Abstract 15044: Risk of Myocardial Infarction in Carriers of Familial Hypercholesterolemia Mutations is Modified by Common Variant Genetic Background or Adherence to a Healthy Lifestyle
Fahed, Akl C, Minxian Wang, Mark Chaffin, Alexander G Bick, Candace Patterson, Pradeep Natarajan, Matthew Lebo, et al. 2019. “Abstract 15044: Risk of Myocardial Infarction in Carriers of Familial Hypercholesterolemia Mutations Is Modified by Common Variant Genetic Background or Adherence to a Healthy Lifestyle”. Circulation 140 (Suppl\_1): A15044—A15044.
Association of machine learning-derived measures of body fat distribution in >40,000 individuals with cardiometabolic diseases
Agrawal, Saaket, Marcus D. R. Klarqvist, Nathaniel Diamant, Patrick T. Ellinor, Nehal N. Mehta, Anthony Philippakis, Kenney Ng, Puneet Batra, and Amit V. Khera. 2021. “Association of Machine Learning-Derived Measures of Body Fat Distribution in >40,000 Individuals With Cardiometabolic Diseases”. MedRxiv, 2021.05.07.21256854.
Lei Cui, Ph.D.
Lei is a postdoctoral researcher in the Pan Group at the Stanley Center for Psychiatric Research. Lei received his PhD in Neuroscience under the doctoral program of "Molecular Physiology of the Brain" from University of Göttingen. During his graduate training under the mentorship of Dr. Oliver...
*NEW* Video Tutorials
We have added FIVE new video tutorials to our YouTube Channel! Two CellProfiler CZI workshops Two ImageJ CZI workshops CellProfiler "NamesAndTypes" video tutorial: Blog to guide you with this tutorial
Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling
Diamant, Nathaniel, Erik Reinertsen, Steven Song, Aaron D. Aguirre, Collin M. Stultz, and Puneet Batra. 2022. “Patient Contrastive Learning: A Performant, Expressive, and Practical Approach to Electrocardiogram Modeling”. PLOS Computational Biology 18 (2): e1009862.