Mark Craven

Mark Craven

University of Wisconsin-Madison

H-index: 46

North America-United States

About Mark Craven

Mark Craven, With an exceptional h-index of 46 and a recent h-index of 26 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of machine learning, computational biology, biomedical informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Childhood asthma incidence, early and persistent wheeze, and neighborhood socioeconomic factors in the ECHO/CREW consortium

Feature importance explanations for temporal black-box models

Defining mitochondrial protein functions through deep multiomic profiling

New insights relating gasdermin B to the onset of childhood asthma

Noninvasive detection of colorectal carcinomas using serum protein biomarkers

A Secondary Analysis of Panoramic Radiographs Reveals Hotspots in the Maxillofacial Region Associated with Diabetes

Modeling asthma exacerbations from electronic health records

Identifying patterns and predictors of lifestyle modification in electronic health record documentation using statistical and machine learning methods

Mark Craven Information

University

Position

Professor of Biostatistics and Medical Informatics

Citations(all)

12548

Citations(since 2020)

3743

Cited By

10245

hIndex(all)

46

hIndex(since 2020)

26

i10Index(all)

87

i10Index(since 2020)

49

Email

University Profile Page

University of Wisconsin-Madison

Google Scholar

View Google Scholar Profile

Mark Craven Skills & Research Interests

machine learning

computational biology

biomedical informatics

Top articles of Mark Craven

Title

Journal

Author(s)

Publication Date

Childhood asthma incidence, early and persistent wheeze, and neighborhood socioeconomic factors in the ECHO/CREW consortium

JAMA pediatrics

Antonella Zanobetti

Patrick H Ryan

Brent Coull

Cole Brokamp

Soma Datta

...

2022/8/1

Feature importance explanations for temporal black-box models

Proceedings of the AAAI Conference on Artificial Intelligence

Akshay Sood

Mark Craven

2022/6/28

Defining mitochondrial protein functions through deep multiomic profiling

Nature

Jarred W Rensvold

Evgenia Shishkova

Yuriy Sverchkov

Ian J Miller

Arda Cetinkaya

...

2022/6/9

New insights relating gasdermin B to the onset of childhood asthma

Nathan Schoettler

Eishika Dissanayake

Mark W Craven

Jeremiah S Yee

Joshua Eliason

...

2022/10

Noninvasive detection of colorectal carcinomas using serum protein biomarkers

Journal of Surgical Research

Melanie M Ivancic

Bryant W Megna

Yuriy Sverchkov

Mark Craven

Mark Reichelderfer

...

2020/2/1

A Secondary Analysis of Panoramic Radiographs Reveals Hotspots in the Maxillofacial Region Associated with Diabetes

AMIA Summits on Translational Science Proceedings

Gary D Pack

Mark Craven

Amit Acharya

2020

Modeling asthma exacerbations from electronic health records

AMIA Summits on Translational Science Proceedings

Alexander Cobian

Madeline Abbott

Akshay Sood

Yuriy Sverchkov

Lawrence Hanrahan

...

2020

Identifying patterns and predictors of lifestyle modification in electronic health record documentation using statistical and machine learning methods

Preventive medicine

Kimberly Shoenbill

Yiqiang Song

Mark Craven

Heather Johnson

Maureen Smith

...

2020/7/1

Expression quantitative trait locus fine mapping of the 17q12–21 asthma locus in African American children: a genetic association and gene expression study

The Lancet Respiratory Medicine

Carole Ober

Chris G McKennan

Kevin M Magnaye

Matthew C Altman

Charles Washington

...

2020/5/1

Machine learning for syndromic surveillance using veterinary necropsy reports

PloS one

Nathan Bollig

Lorelei Clarke

Elizabeth Elsmo

Mark Craven

2020/2/5

See List of Professors in Mark Craven University(University of Wisconsin-Madison)