An empirical re-examination of the relationship among training, ability, and the acceptance of information technology. - R. Ryan Nelson; Michael W. Kattan; Paul H. Cheney (SIGCPR, 1991)

A Comparison of Machine Learning with Human Judgment. - Michael W. Kattan; Dennis A. Adams; Michael S. Parks (J. Manag. Inf. Syst., 1993)

Telephone interviews vs. workstation sessions for acquiring quality of life data. - Michael W. Kattan; Paul A. Fearn; Scott B. Cantor; Jim Hu; Mark E. Cowen; R. Brian Giesler; Brian J. Miles (AMIA, 1999)

Naive Bayesian-Based Nomogram for Prediction of Prostate Cancer Recurrence. - Janez Demsar; Blaz Zupan; Michael W. Kattan; J. Robert Beck; Ivan Bratko (MIE, 1999)

Machine learning for survival analysis: a case study on recurrence of prostate cancer. - Blaz Zupan; Janez Demsar; Michael W. Kattan; J. Robert Beck; Ivan Bratko (Artif. Intell. Medicine, 2000)

Time trade-off utility modified to accommodate degenerative and life-threatening conditions. - Michael W. Kattan; Paul A. Fearn; Brian J. Miles (AMIA, 2001)

A Chronological Database as Backbone for Clinical Practice and Research Data Management. - Paul A. Fearn; Kevin Regan 002; Frank Sculli; Jared Katz; Michael W. Kattan (CBMS, 2003)

Nomograms for Visualization of Naive Bayesian Classifier. - Martin Mozina; Janez Demsar; Michael W. Kattan; Blaz Zupan (PKDD, 2004)

An empirical approach to model selection through validation for censored survival data. - Ickwon Choi; Brian J. Wells; Changhong Yu; Michael W. Kattan (J. Biomed. Informatics, 2011)

A Hybrid Approach to Survival Model Building Using Integration of Clinical and Molecular Information in Censored Data. - Ickwon Choi; Michael W. Kattan; Brian J. Wells; Changhong Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

A simulation model of colorectal cancer surveillance and recurrence. - Johnie Rose; Knut Augestad; Chung Yin Kong; Neal J. Meropol; Michael W. Kattan; Qingqing Hong; Xuebei An; Gregory S. Cooper (BMC Medical Informatics Decis. Mak., 2014)

A comprehensive data level analysis for cancer diagnosis on imbalanced data. - Sara Fotouhi; Shahrokh Asadi; Michael W. Kattan (J. Biomed. Informatics, 2019)

Random forest swarm optimization-based for heart diseases diagnosis. - Shahrokh Asadi; Seyed Ehsan Roshan; Michael W. Kattan (J. Biomed. Informatics, 2021)