Paul E. Johnson

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Types of Expertise: An Invariant of Problem Solving

Imran A. Zualkernan, Paul E. Johnson, David W. Tukey, 1993, Int. J. Man Mach. Stud..

Using functional data analysis to identify physician decision strategies which lead to better type 2 diabetes patient outcomes

Paul E. Johnson, Gregory W. Ramsey, Patrick J. O'Connor, 2010, IHI.

Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting

Gediminas Adomavicius, Paul E. Johnson, Sunayan Bandyopadhyay, 2016, J. Biomed. Informatics.

A machine learning approach to improving process control

Gediminas Adomavicius, Paul E. Johnson, Patrick J. O'Connor, 2009, WITS 2009.

Fraud Detection: Intentionality and Deception in Cognition

Paul E. Johnson, Karim Jamal, Stefano Grazioli, 1993 .

Knowledge-based fault localization in debugging

Robert L. Sedlmeyer, William B. Thompson, Paul E. Johnson, 1983, J. Syst. Softw..

Generative Knowledge for Computer Troubleshooting

Nancy E. Reed, Paul E. Johnson, 1990, ECAI.

A Machine Learning Approach to Improving Dynamic Decision Making

Gediminas Adomavicius, Paul E. Johnson, Patrick J. O'Connor, 2014, Inf. Syst. Res..

Computational Finance 1999 Edited by Yaser S. Abu-Mostafa, Blake LeBaron, Andrew W. Lo and Andreas S. Weigend

Paul E. Johnson, 2001, J. Artif. Soc. Soc. Simul..

DESIGN OF DECISION SUPPORT SYSTEMS IN MEDICINE: RATIONALE AND PRINCIPLES FROM THE ANALYSIS OF PHYSICIAN EXPERTISE.

Paul J. Feltovich, Dennis G. Severance, Paul E. Johnson, 1979 .

Evolving decision strategies for dynamic environments

Gediminas Adomavicius, Paul E. Johnson, JoAnn M. Sperl-Hillen, 2012 .

Figure 3, Functions in the patient model

Paul E. Johnson, Patrick J. O'Connor, JoAnn M. Sperl-Hillen, 2005 .

Specification for Expertise

Imran A. Zualkernan, Paul E. Johnson, Sharon Garber, 1987, Int. J. Man Mach. Stud..

Auditing, artificial intelligence and expert systems

Rayman D. Meservy, Andrew D. Bailey, Paul E. Johnson, 1987 .

A Design Based Approach to Constructing Computational Solutions to Diagnostic Problems

Imran A. Zualkernan, Paul E. Johnson, Charles E. Matthews, 1990, AAAI.

User requirements for explanation in expert systems

Gordon B. Davis, Paul E. Johnson, Li Richard Ye, 1990 .

INTERLINE5.0. Railroad Routing Model

D. S. Joy, Paul E. Johnson, 1993 .

Data Systems in Support of Research in Managed Care

Paul E. Johnson, William A. Rush, Patrick J. O'Connor, 2003, Inf. Syst. Frontiers.

Expertise and error in diagnostic reasoning

Michael J. Prietula, Paul J. Feltovich, Paul E. Johnson, 1981 .

Tools and Techniques for Social Science Simulation Edited by Ramzi Suleiman, Klaus G. Troitzsch and G. Nigel Gilbert

Paul E. Johnson, 2003, J. Artif. Soc. Soc. Simul..

Monte Carlo Analysis in Academic Research

Paul E. Johnson, P. Johnson, 2013 .

The probability density of spectral estimates based on modified periodogram averages

David G. Long, Paul E. Johnson, 1999, IEEE Trans. Signal Process..

Detecting deception: adversarial problem solving in a low base-rate world

Paul E. Johnson, Karim Jamal, Stefano Grazioli, 2001, Cogn. Sci..

The power of commitment in cooperative social action

Paul E. Johnson, David Brichoux, P. Johnson, 2002, J. Artif. Soc. Soc. Simul..

Strolling Down The Garden Path: Error Prone Tasks in Expert Problem Solving

William B. Thompson, Paul E. Johnson, 1981, IJCAI.

Computer mapping and geographical analysis: Some observations based on experience

Paul E. Johnson, Robert B. Honea, 1980, ACM '80.

Problem Solving Expertise

William B. Thompson, Paul E. Johnson, W. B. Thompson, 1981 .

SURFACE: A PROTOTYPE EXPERT SYSTEM FOR SELECTING SURFACE ANALYSIS TECHNIQUES.

Karl A. Smith, Paul E. Johnson, Brian Farm, 1985 .

Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming Edited by Francesco Luna and Benedikt Stefansson

Paul E. Johnson, 2001, J. Artif. Soc. Soc. Simul..

Garden Path Errors in Diagnostic Reasoning

James B. Moen, William B. Thompson, Paul E. Johnson, 1988 .

Knowledge-based fault localization in debugging: preliminary draft

Robert L. Sedlmeyer, William B. Thompson, Paul E. Johnson, 1983 .

Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data

Gediminas Adomavicius, Paul E. Johnson, Patrick J. O'Connor, 2014, Data Mining and Knowledge Discovery.

Evolving decision strategies for dynamic environments: A genetic programming approach

Gediminas Adomavicius, Paul E. Johnson, Patrick J. O'Connor, 2012 .

Early Results from TNTCAM2, a Mid-IR Imaging Polarimeter, and Remote Internet Observing

Paul E. Johnson, Robert E. Stencel, Margaret Edwards, 2001 .

Table 2, Summarized results of training and testing decision trees on synthetic data

Gediminas Adomavicius, Paul E. Johnson, Gregory W. Ramsey, 2008 .

Modeling Expert Decision Making: Paradox of Simple Versus Complex Models

Paul E. Johnson, Hyung-Min Michael Chung, Kenneth Ford, 1993, ICIS.

The Impact of Explanation Facilities in User Acceptance of Expert System Advice

L. Richard Ye, Paul E. Johnson, P. Johnson, 1995, MIS Q..

Diagnostic Reasoning in Software Fault Localization

Robert L. Sedlmeyer, William B. Thompson, Paul E. Johnson, 1983, IJCAI.

Analysis of Expert Reasoning in Hardware Diagnosis

Nancy E. Reed, Paul E. Johnson, 1993, Int. J. Man Mach. Stud..

Recognition-Based Diagnostic Reasoning

James B. Moen, William B. Thompson, Paul E. Johnson, 1983, IJCAI.

Examining Failure in a Dynamic Decision Environment: Strategies for Treating Patients with a Chronic Disease

Paul E. Johnson, Gregory W. Ramsey, Patrick J. O'Connor, 2016 .

Why Society is a Complex Matter: Meeting Twenty-First Century Challenges with a New Kind of Science by Philip Ball

Paul E. Johnson, 2012, J. Artif. Soc. Soc. Simul..

SUPERSONIC TRANSPORT DEVELOPMENT PROGRAM. PHASE III PROPOSAL. BOEING MODEL 2707. PROPULSION PERFORMANCE SPECIFICATION (GENERAL ELECTRIC)

Paul E. Johnson, 1966 .

Using Data Mining to Predict Errors in Chronic Disease Care

Gediminas Adomavicius, Paul E. Johnson, Gregory W. Ramsey, 2008 .

[Table, Predicting Errors in Synthetic Patient Data].

Gediminas Adomavicius, Paul E. Johnson, Gregory W. Ramsey, 2008 .

Diagnosing congenital heart defects using the Fallot computational model

Nancy E. Reed, Maria L. Gini, Paul E. Johnson, 1997, Artif. Intell. Medicine.

Expertise and Error in Diagnostic Reasoning

Michael J. Prietula, Paul J. Feltovich, Paul E. Johnson, 1981, Cogn. Sci..

Knowledge-based fault localization in debugging: preliminary draft

Robert L. Sedlmeyer, William B. Thompson, Paul E. Johnson, 1983, ACM SIGPLAN Notices.

Cost-effectiveness of an electronic medical record based clinical decision support system.

Paul E. Johnson, T. Gilmer, P. O’Connor, 2012, Health services research.

Understanding Variation in Chronic Disease Outcomes [ RUNNING TITLE : Understanding Variation ]

Paul E. Johnson, 2002 .

Understanding Variation in Chronic Disease Outcomes

Paul E. Johnson, Sandra J. Potthoff, Patrick J. O'Connor, 2002, Health care management science.

Simulated Physician Learning Intervention to Improve Safety and Quality of Diabetes Care: A Randomized Trial

Paul E. Johnson, JoAnn M. Sperl-Hillen, William A. Rush, 2009, Diabetes Care.

Taking the Keys from Grandpa

Paul E. Johnson, Elaine B. Sharp, E. Sharp, 2005 .

Simulated Physician Learning Program Improves Glucose Control in Adults With Diabetes

Paul E. Johnson, JoAnn M. Sperl-Hillen, William A. Rush, 2010, Diabetes Care.

SimCare: A Model for Studying Physician Decisionmaking Activity

Paul E. Johnson, JoAnn M. Sperl-Hillen, William A. Rush, 2005 .

Use and Customization of Risk Scores for Predicting Cardiovascular Events Using Electronic Health Record Data

Gediminas Adomavicius, Paul E. Johnson, Julian Wolfson, 2016, Journal of the American Heart Association.

Success and failure in dynamic decision environments: understanding treatment strategies for patients with a chronic disease

Paul E. Johnson, Gregory W. Ramsey, 2010 .

Clinical Inertia and Outpatient Medical Errors

Paul E. Johnson, P. O’Connor, J. Sperl-Hillen, 2008 .

Identification, Classification, and Frequency of Medical Errors in Outpatient Diabetes Care

Paul E. Johnson, JoAnn M. Sperl-Hillen, William A. Rush, 2005 .

Clinical Inertia and Outpatient Medical Errors

Paul E. Johnson, P. O’Connor, J. Sperl-Hillen, 2008 .

Knowledge-based fault localization in debugging: preliminary draft

Robert L. Sedlmeyer, Paul E. Johnson, W. B. Thompson, 1983, SIGSOFT '83.

Agent-Based Modeling

Paul E. Johnson, 2002 .

C-B4-03: EMR-based Clinical Decision Support System Improved Glucose and Blood Pressure Control in Adults With Diabetes

Paul E. Johnson, JoAnn M. Sperl-Hillen, William A. Rush, 2010, Clinical Medicine & Research.

Physician Decisions as a Source of Variation in Chronic Disease Outcomes

Paul E. Johnson, P. Veazie, Pradyumna Dutta, 2022 .

Personalised physician learning intervention to improve hypertension and lipid control: randomised trial comparing two methods of physician profiling

Paul E. Johnson, Heather M. Tavel, P. O’Connor, 2014, BMJ quality & safety.

Values of Older Adults Related to Primary and Secondary Prevention

Paul E. Johnson, A. Rothman, R. Kane, 2011 .

Impact of Electronic Health Record Clinical Decision Support on Diabetes Care: A Randomized Trial

Paul E. Johnson, JoAnn M. Sperl-Hillen, William A. Rush, 2011, The Annals of Family Medicine.

Educating Resident Physicians Using Virtual Case-Based Simulation Improves Diabetes Management: A Randomized Controlled Trial

Paul E. Johnson, Patrick J O'Connor, Deepika Appana, 2014, Academic medicine : journal of the Association of American Medical Colleges.

A structured review of the effect of economic incentives on consumers' preventive behavior.

Mary Butler, Robert L Kane, Paul E. Johnson, 2004, American journal of preventive medicine.

Economic Incentives for Preventive Care: Summary

Paul E. Johnson, R. Town, M. Butler, 2004 .

Predictors of Patients’ Perceived Need for Medication to Prevent Fracture

Paul E. Johnson, M. Davison, B. Dowd, 2011, Medical care.

Variation in Quality of Diabetes Care at the Levels of Patient, Physician, and Clinic

Paul E. Johnson, T. Louis, P. O’Connor, 2007, Preventing chronic disease.

Using Simulation Technology to Teach Diabetes Care Management Skills to Resident Physicians

Paul E. Johnson, Deepika Appana, Paul Johnson, 2013, Journal of diabetes science and technology.

Customized Feedback to Patients and Providers Failed to Improve Safety or Quality of Diabetes Care

Paul E. Johnson, William A. Rush, Paul E. Johnson, 2009, Diabetes Care.

Is there a downside to customizing care? Implications of general and patient-specific treatment strategies.

Paul E. Johnson, P. Veazie, P. O’Connor, 2009, Journal of evaluation in clinical practice.

Making improvements in the management of patients with type 2 diabetes: a possible role for the control of variation in glycated hemoglobin.

Paul E. Johnson, Paul E Johnson, Patrick J O'Connor, 2005, Medical hypotheses.

A Naive Bayes machine learning approach to risk prediction using censored, time‐to‐event data

Gediminas Adomavicius, Paul E. Johnson, Julian Wolfson, 2014, Statistics in medicine.

Economic incentives for preventive care.

Paul E. Johnson, R. Kane, R. Town, 2004, Evidence report/technology assessment.

Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting

Paul E. Johnson, P. O’Connor, D. Vock, 2016, J. Biomed. Informatics.

Predictors of Patients’ Perceived Need for Medication to Prevent Fracture

Paul E. Johnson, M. Davison, B. Dowd, 2011, Medical care.