Che Ngufor

1.4k citations

56 papers · 837 · h-index 15

Impact in

Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Emergency Medicine top 5%
- Cardiac Arrest and Resuscitation

Papers in

Artificial Intelligence 16
- Machine Learning in Healthcare 11
Cardiology and Cardiovascular Medicine 7
- Atrial Fibrillation Management and Outcomes 3

Co-authors: Nilay D. Shah (10 shared papers)Nihar R. Desai (5 shared papers)Joseph S. Ross (5 shared papers)Rozalina G. McCoy (5 shared papers)Sanket S. Dhruva (4 shared papers)Harlan M. Krumholz (3 shared papers)Nathan C. Hurley (3 shared papers)Bobak J. Mortazavi (3 shared papers)
Journals: Cancer Epidemiology Biomarkers & Prevention (5 papers)JAMA Network Open (3 papers)PLoS ONE (2 papers)Annals of Allergy Asthma & Immunology (1 paper)JCO Clinical Cancer Informatics (1 paper)
Partner nations: United States Nigeria Canada

In The Last Decade

Che Ngufor

47 papers receiving 821 citations

Peers

Countries citing papers authored by Che Ngufor

Since Specialization

Citations

This map shows the geographic impact of Che Ngufor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Che Ngufor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che Ngufor more than expected).

Fields of papers citing papers by Che Ngufor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che Ngufor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Che Ngufor. The network helps show where Che Ngufor may publish in the future.

Co-authors

The 25 scholars most cited alongside Che Ngufor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Che Ngufor Line = papers co-authored together Che Ngufor links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Association of Use of an Intravascular Microaxial Left Ventricular Assist Device vs Intra-aortic Balloon Pump With In-Hospital Mortality and Major Bleeding Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock JAMA ·Sanket S. Dhruva, Joseph S. Ross, Bobak J. Mortazavi, Nathan C. Hurley, Harlan M. Krumholz, Jeptha P. Curtis, Alyssa Berkowitz, Frederick A. Masoudi, John C. Messenger, Craig S. Parzynski, Che Ngufor, Saket Girotra, Amit P. Amin, Nilay D. Shah, Nihar R. Desai	2020	223
2	Use of Mechanical Circulatory Support Devices Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock JAMA Network Open ·Sanket S. Dhruva, Joseph S. Ross, Bobak J. Mortazavi, Nathan C. Hurley, Harlan M. Krumholz, Jeptha P. Curtis, Alyssa Berkowitz, Frederick A. Masoudi, John C. Messenger, Craig S. Parzynski, Che Ngufor, Saket Girotra, Amit P. Amin, Nilay D. Shah, Nihar R. Desai	2021	68
3	Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registry Journal of Neurosurgery Spine ·Anshit Goyal, Che Ngufor, Panagiotis Kerezoudis, Brandon A. McCutcheon, Curtis B. Storlie, Mohamad Bydon	2019	66
4	Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c Journal of Biomedical Informatics ·Che Ngufor, Holly Van Houten, Brian Caffo, Nilay D. Shah, Rozalina G. McCoy	2018	61
5	Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment JAMA Network Open ·Jeph Herrin, Neena S. Abraham, Xiaoxi Yao, Peter A. Noseworthy, Jonathan Inselman, Nilay D. Shah, Che Ngufor	2021	34
6	Risk of Gastrointestinal Bleeding Increases With Combinations of Antithrombotic Agents and Patient Age Clinical Gastroenterology and Hepatology ·Neena S. Abraham, Peter A. Noseworthy, Jonathan Inselman, Jeph Herrin, Xiaoxi Yao, Lindsey R. Sangaralingham, Gabriella Cornish, Che Ngufor, Nilay D. Shah	2019	28
7	Comparative Effectiveness and Safety of Oral Anticoagulants Across Kidney Function in Patients With Atrial Fibrillation Circulation Cardiovascular Quality and Outcomes ·Xiaoxi Yao, Jonathan Inselman, Joseph S. Ross, Rima Izem, David J. Graham, David Martin, Aliza M. Thompson, Mary Southworth, Konstantinos C. Siontis, Che Ngufor, Karl A. Nath, Nihar R. Desai, Brahmajee K. Nallamothu, Rajiv Saran, Nilay D. Shah, Peter A. Noseworthy	2020	28
8	Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes Computers in Biology and Medicine ·Dennis H. Murphree, Elaheh Arabmakki, Che Ngufor, Curtis B. Storlie, Rozalina G. McCoy	2018	26
9	Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility Mayo Clinic Proceedings Innovations Quality & Outcomes ·Sudhi G. Upadhyaya, Dennis H. Murphree, Che Ngufor, Alison M. Knight, Daniel J. Cronk, Robert R. Cima, Timothy B. Curry, Jyotishman Pathak, Rickey E. Carter, Daryl J. Kor	2017	24
10	Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population BMJ Open ·Sheila M. Manemann, Jennifer L. St. Sauver, Hongfang Liu, Nicholas B. Larson, Sungrim Moon, Paul Y. Takahashi, Janet E. Olson, Walter A. Rocca, Virginia M. Miller, Terry M. Therneau, Che Ngufor, Véronique L. Roger, Yiqing Zhao, Paul A. Decker, Jill M. Killian, Suzette J. Bielinski	2021	22
11	Estimation of manual wheelchair-based activities in the free-living environment using a neural network model with inertial body-worn sensors Journal of Electromyography and Kinesiology ·Emma Fortune, Beth A. Cloud, Stefan I. Madansingh, Che Ngufor, Meegan G. Van Straaten, Brianna M. Goodwin, Dennis H. Murphree, Kristin D. Zhao, Melissa M. Morrow	2019	21
12	Screening for idiopathic pulmonary fibrosis using comorbidity signatures in electronic health records Nature Medicine ·Dmytro Onishchenko, Robert J. Marlowe, Che Ngufor, Louis J. Faust, Andrew H. Limper, Gary M. Hunninghake, Fernando J. Martínez, Ishanu Chattopadhyay	2022	17
13	Ensemble learning approaches to predicting complications of blood transfusion PubMed ·Dennis H. Murphree, Che Ngufor, Sudhindra Upadhyaya, Nagesh Madde, Leanne Clifford, Daryl J. Kor, Jyotishman Pathak	2015	17
14	Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia JCO Clinical Cancer Informatics ·David Chen, Gaurav Goyal, Ronald S. Go, Sameer A. Parikh, Che Ngufor	2019	15
15	Trajectories of Glycemic Change in a National Cohort of Adults With Previously Controlled Type 2 Diabetes Medical Care ·Rozalina G. McCoy, Che Ngufor, Holly K. Van Houten, Brian Caffo, Nilay D. Shah	2017	14
16	Extreme logistic regression Advances in Data Analysis and Classification ·Che Ngufor, Janusz Wojtusiak	2014	14
17	A prediction model for asthma exacerbations after stopping asthma biologics Annals of Allergy Asthma & Immunology ·Jonathan Inselman, Molly M. Jeffery, Jacob T. Maddux, Regina W. Lam, Nilay D. Shah, Matthew A. Rank, Che Ngufor	2022	11
18	Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach Studies in health technology and informatics ·Che Ngufor, Dennis H. Murphree, Sudhindra Upadhyaya, Nageswar R. Madde, Daryl J. Kor, Jyotishman Pathak	2015	10
19	Development and Validation of a Risk Stratification Model Using Disease Severity Hierarchy for Mortality or Major Cardiovascular Event JAMA Network Open ·Che Ngufor, Pedro J. Caraballo, Thomas J. O’Byrne, David Chen, Nilay D. Shah, Lisiane Pruinelli, Michael Steinbach, György Simon	2020	9
20	Rule-Based Prediction of Medical Claims' Payments: A Method and Initial Application to Medicaid Data Janusz Wojtusiak, Che Ngufor, John W. Shiver, Reinhold Ewald	2011	9

About Che Ngufor

Che Ngufor is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Biochemistry, Health Information Management and Management of Technology and Innovation, having authored 56 papers that have together received 837 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (11 papers), Blood transfusion and management (7 papers), Diabetes Management and Research (3 papers), Mechanical Circulatory Support Devices (3 papers), Artificial Intelligence in Healthcare (3 papers), Blood donation and transfusion practices (3 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Health Informatics (49 citations), Emergency Medicine (103 citations), Health Information Management (52 citations), Internal Medicine (23 citations) and Cardiology and Cardiovascular Medicine (148 citations). Che Ngufor has collaborated with scholars based in United States, Nigeria and Canada. Frequent co-authors include Nilay D. Shah, Nihar R. Desai, Joseph S. Ross, Rozalina G. McCoy, Sanket S. Dhruva, Harlan M. Krumholz, Nathan C. Hurley, Bobak J. Mortazavi, Frederick A. Masoudi and Dennis H. Murphree. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, JAMA Network Open, PLoS ONE, Annals of Allergy Asthma & Immunology and JCO Clinical Cancer Informatics.

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