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2020 – today
- 2023
- [j35]Yuri Quintana, Theresa A. Cullen, John H. Holmes, Ashish Joshi, David Novillo-Ortiz, Siaw-Teng Liaw:
Global Health Informatics: the state of research and lessons learned. J. Am. Medical Informatics Assoc. 30(4): 627-633 (2023) - [j34]Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priyam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes:
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? J. Biomed. Informatics 139: 104306 (2023) - [j33]Carlo Combi, Julio C. Facelli, Peter Haddawy, John H. Holmes, Sabine Koch, Hongfang Liu, Jochen Meyer, Mor Peleg, Giuseppe Pozzi, Gregor Stiglic, Pierangelo Veltri, Christopher C. Yang:
The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming After the CoViD-19. J. Heal. Informatics Res. 7(2): 169-202 (2023) - [c53]Carlo Combi, Julio C. Facelli, Peter Haddawy, John H. Holmes, Sabine Koch, Hongfang Liu, Jochen Meyer, Mor Peleg, Giuseppe Pozzi, Gregor Stiglic, Pierangelo Veltri, Christopher C. Yang:
Resuming HealthCare Informatics Research after CoViD-19: the HealthCare System Perspective. ICHI 2023: 760-762 - 2022
- [j32]Carlo Combi, Beatrice Amico, Riccardo Bellazzi, Andreas Holzinger, Jason H. Moore, Marinka Zitnik, John H. Holmes:
A manifesto on explainability for artificial intelligence in medicine. Artif. Intell. Medicine 133: 102423 (2022) - [j31]Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai:
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134: 104176 (2022) - [j30]Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber:
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. npj Digit. Medicine 5 (2022) - [c52]Jeffrey G. Klann, Zachary H. Strasser, Chris J. Kennedy, Meghan Hutch, John H. Holmes, Gabriel A. Brat, Shawn N. Murphy:
Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions. AMIA 2022 - [c51]Stela Golovco, Matteo Mantovani, Carlo Combi, John H. Holmes:
Acute Kidney Injury Prediction with Gradient Boosting Decision Trees enriched with Temporal Features. ICHI 2022: 669-676 - 2021
- [j29]David Novillo-Ortiz, Yuri Quintana, John H. Holmes, Damian Borbolla, Heimar de Fátima Marin:
Leveraging data and information systems on the sustainable development goals. Int. J. Medical Informatics 152: 104504 (2021) - [j28]Mary Regina Boland, Lena M. Davidson, Silvia P. Canelón, Jessica R. Meeker, Trevor M. Penning, John H. Holmes, Jason H. Moore:
Harnessing electronic health records to study emerging environmental disasters: a proof of concept with perfluoroalkyl substances (PFAS). npj Digit. Medicine 4 (2021) - [c50]Shawn N. Murphy, Hossein Estiri, Arianna Dagliati, Riccardo Bellazzi, John H. Holmes:
Temporal Phenotypic Pathways of Post-Acute Sequelae of SARS-CoV-2 by an International Consortium for Clinical Characterization of COVID-19 (4CE). AMIA 2021 - [c49]Isabela A. Chiorean, Beatrice Amico, Carlo Combi, John H. Holmes:
A Reproducible ETL Approach for Window-based Prediction of Acute Kidney Injury in Critical Care Unit and Some Preliminary Results with Support Vector Machines. BIBM 2021: 3532-3539 - 2020
- [j27]Lorenzo Chiudinelli, Arianna Dagliati, Valentina Tibollo, Sara Albasini, Nophar Geifman, Niels Peek, John H. Holmes, Fabio Corsi, Riccardo Bellazzi, Lucia Sacchi:
Mining post-surgical care processes in breast cancer patients. Artif. Intell. Medicine 105: 101855 (2020) - [j26]Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Riccardo Bellazzi, Seyed Erfan Sajjadi, Allan Tucker:
Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records. Artif. Intell. Medicine 108: 101930 (2020) - [j25]Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes:
Ideas for how informaticians can get involved with COVID-19 research. BioData Min. 13(1): 3 (2020) - [j24]Rui Duan, Mary Regina Boland, Zixuan Liu, Yue Liu, Howard H. Chang, Hua Xu, Haitao Chu, Christopher H. Schmid, Christopher B. Forrest, John H. Holmes, Martijn J. Schuemie, Jesse A. Berlin, Jason H. Moore, Yong Chen:
Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm. J. Am. Medical Informatics Assoc. 27(3): 376-385 (2020) - [j23]Rui Duan, Chongliang Luo, Martijn J. Schuemie, Jiayi Tong, C. Jason Liang, Howard H. Chang, Mary Regina Boland, Jiang Bian, Hua Xu, John H. Holmes, Christopher B. Forrest, Sally C. Morton, Jesse A. Berlin, Jason H. Moore, Kevin B. Mahoney, Yong Chen:
Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. J. Am. Medical Informatics Assoc. 27(7): 1028-1036 (2020) - [c48]Mary Regina Boland, Lena M. Davidson, Silvia P. Canelón, Jessica R. Meeker, Trevor M. Penning, John H. Holmes, Jason H. Moore:
Harnessing Electronic Health Records to Study Emerging Environmental Disasters: A Proof of Concept with PFAS. AMIA 2020 - [c47]John H. Holmes, Riccardo Bellazzi, Carlo Combi, Jason H. Moore, Niels Peek:
Explainable Artificial Intelligence (XAI): Current Approaches and Paths to the Future. AMIA 2020 - [c46]Seyed Erfan Sajjadi, Barbara Draghi, Lucia Sacchi, Arianna Dagliati, John H. Holmes, Allan Tucker:
Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease. PKDD/ECML Workshops 2020: 48-61
2010 – 2019
- 2019
- [c45]Daniele Pala, John H. Holmes, José Pagán, Enea Parimbelli, Marica Teresa Rocca, Vittorio Casella, Riccardo Bellazzi:
Agent-Based Models and Spatial Enablement: A Simulation Tool to Improve Health and Wellbeing in Big Cities. AIME 2019: 79-83 - [c44]Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Seyed Erfan Sajjadi, Allan Tucker:
Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series. AIME 2019: 399-409 - [c43]Victor J. Lei, Edward H. Kennedy, ThaiBinh Luong, Xinwei Chen, Daniel E. Polsky, Kevin G. Volpp, Mark D. Neuman, John H. Holmes, Lee A. Fleisher, Amol S. Navathe:
Model Performance Metrics in Assessing the Value of Adding Intraoperative Data for Death Prediction: Applications to Noncardiac Surgery. MedInfo 2019: 223-227 - [c42]Graciela Gonzalez, Zhiyong Lu, Robert Leaman, Davy Weissenbacher, Mary Regina Boland, Yong Chen, Jingcheng Du, Juliane Fluck, Casey S. Greene, John H. Holmes, Aditya Kashyap, Rikke Linnemann Nielsen, Zhengqing Ouyang, Sebastian Schaaf, Jaclyn N. Taroni, Cui Tao, Yuping Zhang, Hongfang Liu:
Text Mining and Machine Learning for Precision Medicine. PSB 2019: 449-454 - 2018
- [j22]Annette ten Teije, Christian Popow, John H. Holmes, Lucia Sacchi:
Preface: AIME 2017. Artif. Intell. Medicine 91: 1-2 (2018) - [j21]Mary Regina Boland, Aditya Kashyap, Jiadi Xiong, John H. Holmes, Scott Lorch:
Development and validation of the PEPPER framework (Prenatal Exposure PubMed ParsER) with applications to food additives. J. Am. Medical Informatics Assoc. 25(11): 1432-1443 (2018) - [c41]Mary Regina Boland, Aditya Kashyap, Jiadi Xiong, John H. Holmes, Scott Lorch:
Construction of PEPPER: Prenatal Exposure Pubmed ParsER. AMIA 2018 - [c40]Victor J. Lei, Mark D. Neuman, Mark G. Weiner, ThaiBinh Luong, Alex M. Bain, Daniel E. Polsky, Kevin G. Volpp, John H. Holmes, Amol S. Navathe:
Applying Predictive Analytics on Administrative and Perioperative Data to Assess Physician Decision Making and Post-Operative Testing for Acute Myocardial Infarction. AMIA 2018 - [c39]Yuri Quintana, Paul G. Biondich, Hamish S. F. Fraser, Andrew S. Kanter, John H. Holmes:
Implementation Science for Global Health Informatics Projects. AMIA 2018 - [c38]Ryan J. Urbanowicz, Christopher Lo, John H. Holmes, Jason H. Moore:
Attribute tracking: strategies towards improved detection and characterization of complex associations. GECCO 2018: 553-560 - 2017
- [j20]John H. Holmes, Lucia Sacchi, Riccardo Bellazzi, Niels Peek:
Artificial Intelligence in Medicine AIME 2015. Artif. Intell. Medicine 81: 1-2 (2017) - [j19]Arianna Dagliati, Lucia Sacchi, Alberto Zambelli, Valentina Tibollo, L. Pavesi, John H. Holmes, Riccardo Bellazzi:
Temporal electronic phenotyping by mining careflows of breast cancer patients. J. Biomed. Informatics 66: 136-147 (2017) - [j18]Aeron M. Small, Daniel H. Kiss, Yevgeny Zlatsin, David L. Birtwell, Heather Williams, Marie A. Guerraty, Yuchi Han, Saif Anwaruddin, John H. Holmes, Julio A. Chirinos, Robert L. Wilensky, Jay Giri, Daniel J. Rader:
Text mining applied to electronic cardiovascular procedure reports to identify patients with trileaflet aortic stenosis and coronary artery disease. J. Biomed. Informatics 72: 77-84 (2017) - [c37]Kathryn H. Bowles, Sarah J. Ratcliffe, Mary D. Naylor, John H. Holmes, Susan K. Keim, Emilia Flores:
Nurse Generated EHR Data Supports Post-Acute Care Referral Decision Making: Development and Validation of a Two-step Algorithm. AMIA 2017 - [c36]Randal S. Olson, Moshe Sipper, William G. La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu, Patryk Orzechowski, Ryan J. Urbanowicz, John H. Holmes, Jason H. Moore:
A System for Accessible Artificial Intelligence. GPTP 2017: 121-134 - [c35]Gianluca Roveda, Moses A. Koledoye, Enea Parimbelli, John H. Holmes:
Predicting clinical outcomes in patients with traumatic bleeding: A secondary analysis of the CRASH-2 dataset. RTSI 2017: 1-6 - [e3]Annette ten Teije, Christian Popow, John H. Holmes, Lucia Sacchi:
Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings. Lecture Notes in Computer Science 10259, Springer 2017, ISBN 978-3-319-59757-7 [contents] - [i1]Randal S. Olson, Moshe Sipper, William G. La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu, John H. Holmes, Jason H. Moore:
A System for Accessible Artificial Intelligence. CoRR abs/1705.00594 (2017) - 2016
- [j17]Sarah J. Ratcliffe, Sheryl Potashnik, Maxim Topaz, John H. Holmes, Nai-Wei Shih, Mary D. Naylor, Kathryn H. Bowles:
Using Electronic Case Summaries to Elicit Multi-Disciplinary Expert Knowledge about Referrals to Post-Acute Care. Appl. Clin. Inform. 07(02): 368-379 (2016) - [j16]Jason H. Moore, John H. Holmes:
The golden era of biomedical informatics has begun. BioData Min. 9: 15 (2016) - [j15]Rachel E. Witt, Masego B. Kebaetse, John H. Holmes, Ryan Littman-Quinn, Dineo Ketshogileng, Cynthia Antwi, Carrie L. Kovarik, Oathokwa Nkomazana:
The role of tablets in accessing information throughout undergraduate medical education in Botswana. Int. J. Medical Informatics 88: 71-77 (2016) - [j14]Mara Gordon, Rebecca Henderson, John H. Holmes, Maria K. Wolters, Ian M. Bennett:
Participatory design of ehealth solutions for women from vulnerable populations with perinatal depression. J. Am. Medical Informatics Assoc. 23(1): 105-109 (2016) - 2015
- [c34]Enea Parimbelli, Silvana Quaglini, Riccardo Bellazzi, John H. Holmes:
Collaborative Filtering for Estimating Health Related Utilities in Decision Support Systems. AIME 2015: 106-110 - [e2]John H. Holmes, Riccardo Bellazzi, Lucia Sacchi, Niels Peek:
Artificial Intelligence in Medicine - 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings. Lecture Notes in Computer Science 9105, Springer 2015, ISBN 978-3-319-19550-6 [contents] - 2014
- [j13]John H. Holmes, Thomas E. Elliott, Jeffrey S. Brown, Marsha A. Raebel, Arthur J. Davidson, Andrew F. Nelson, Annie Chung, Pierre La Chance, John F. Steiner:
Clinical research data warehouse governance for distributed research networks in the USA: a systematic review of the literature. J. Am. Medical Informatics Assoc. 21(4): 730-736 (2014) - [j12]John H. Holmes:
Methods and applications of evolutionary computation in biomedicine. J. Biomed. Informatics 49: 11-15 (2014) - [c33]Enea Parimbelli, Silvana Quaglini, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, John H. Holmes:
Use of Patient Generated Data from Social Media and Collaborative Filtering for Preferences Elicitation in Shared Decision Making. AAAI Fall Symposia 2014 - [c32]Arianna Dagliati, Lucia Sacchi, Carlo Cerra, Paola Leporati, Pasquale De Cata, Luca Chiovato, John H. Holmes, Riccardo Bellazzi:
Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients. BHI 2014: 240-243 - 2013
- [c31]Niels Peek, Jimeng Sun, John H. Holmes, Fernando Martín-Sánchez, Riccardo Bellazzi:
Biomedical and Healthcare Analytics on Big Data. AMIA 2013 - [c30]Catherine K. Craven, MaryEllen C. Sievert, Lanis L. Hicks, Gregory L. Alexander, Leonard B. Hearne, John H. Holmes:
Experts Speak: Advice from Key Informants to Small, Rural Hospitals on Implementing the Electronic Health Record System. MedInfo 2013: 608-612 - [c29]Yoonhee P. Ha, Ryan Littman-Quinn, Cynthia Antwi, Gorewang Seropola, Rebecca S. Green, Martha A. Tesfalul, Ari Ho-Foster, Anthony A. Luberti, John H. Holmes, Andrew P. Steenhoff, Carrie L. Kovarik:
A Mobile Health Approach to Tuberculosis Contact Tracing in Resource-Limited Settings. MedInfo 2013: 1188 - [c28]Niels Peek, John H. Holmes, Fernando Martín-Sánchez, Jimeng Sun:
Big Data Analytics in Biomedicine and Health: Trends and Challenges. MedInfo 2013: 1237 - [c27]Maurice Mars, John H. Holmes, Janise Richards, Paula Otero, Alvin B. Marcelo, Anthony A. Luberti:
Informatics Capacity Building in the Developing World - Working Towards an International Educational Model and Curriculum. MedInfo 2013: 1250 - 2012
- [j11]Adrian Benton, John H. Holmes, Shawndra Hill, Annie Chung, Lyle H. Ungar:
medpie: an information extraction package for medical message board posts. Bioinform. 28(5): 743-744 (2012) - [j10]Barbara L. Massoudi, Kenneth W. Goodman, Ivan J. Gotham, John H. Holmes, Lisa Lang, Kathleen Miner, David D. Potenziani, Janise Richards, Anne M. Turner, Paul C. Fu:
An informatics agenda for public health: summarized recommendations from the 2011 AMIA PHI Conference. J. Am. Medical Informatics Assoc. 19(5): 688-695 (2012) - [c26]Senthil K. Nachimuthu, Susan Matney, Mark G. Weiner, John H. Holmes, Stanley M. Huff, Lee Min Lau:
HDD Terminology and Information Model Browsing Tools. AMIA 2012 - 2011
- [j9]Adrian Benton, Shawndra Hill, Lyle H. Ungar, Annie Chung, Charles E. Leonard, Cristin Freeman, John H. Holmes:
A system for de-identifying medical message board text. BMC Bioinform. 12(S-3): S2 (2011) - [j8]Adrian Benton, Lyle H. Ungar, Shawndra Hill, Sean Hennessy, Jun Mao, Annie Chung, Charles E. Leonard, John H. Holmes:
Identifying potential adverse effects using the web: A new approach to medical hypothesis generation. J. Biomed. Informatics 44(6): 989-996 (2011) - 2010
- [c25]Adrian Benton, Shawndra Hill, Lyle H. Ungar, Annie Chung, Charles E. Leonard, Cristin Freeman, John H. Holmes:
A System for De-identifying Medical Message Board Text. ICMLA 2010: 485-490
2000 – 2009
- 2009
- [j7]Reed M. Gardner, J. Marc Overhage, Elaine B. Steen, Benson S. Munger, John H. Holmes, Jeffrey J. Williamson, Don E. Detmer:
AMIA Board White Paper: Core Content for the Subspecialty of Clinical Informatics. J. Am. Medical Informatics Assoc. 16(2): 153-157 (2009) - [j6]Charles Safran, M. Michael Shabot, Benson S. Munger, John H. Holmes, Elaine B. Steen, John R. Lumpkin, Don E. Detmer:
AMIA Board White Paper: Program Requirements for Fellowship Education in the Subspecialty of Clinical Informatics. J. Am. Medical Informatics Assoc. 16(2): 158-166 (2009) - 2008
- [p1]Larry Bull, Ester Bernadó-Mansilla, John H. Holmes:
Learning Classifier Systems in Data Mining: An Introduction. Learning Classifier Systems in Data Mining 2008: 1-15 - [e1]Larry Bull, Ester Bernadó-Mansilla, John H. Holmes:
Learning Classifier Systems in Data Mining. Studies in Computational Intelligence 125, Springer 2008, ISBN 978-3-540-78978-9 [contents] - 2007
- [j5]John H. Holmes, Niels Peek:
Intelligent data analysis in biomedicine. J. Biomed. Informatics 40(6): 605-608 (2007) - 2006
- [j4]Blaz Zupan, John H. Holmes, Riccardo Bellazzi:
Knowledge-based data analysis and interpretation. Artif. Intell. Medicine 37(3): 163-165 (2006) - 2005
- [c24]John H. Holmes, Jennifer A. Sager:
Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach. AIME 2005: 444-452 - [c23]John H. Holmes, Elizabeth Ellis Ohr, Judy A. Shea:
Patient Preferences for Behavioral Intervention Format: The Case for (and Against) Computerization. AMIA 2005 - [c22]Marie Synnestvedt, Chaomei Chen, John H. Holmes:
CiteSpace II: Visualization and Knowledge Discovery in Bibliographic Databases. AMIA 2005 - [c21]Marie Synnestvedt, Chaomei Chen, John H. Holmes:
Visual Exploration of Landmarks and Trends In the Medical Informatics Literature. AMIA 2005 - [c20]John H. Holmes:
Detection of sentinel predictor-class associations with XCS: a sensitivity analysis. GECCO Workshops 2005: 67-71 - [c19]John H. Holmes, Jennifer A. Sager, Warren B. Bilker:
Three Methods for Covering Missing Input Data in XCS. IWLCS 2005: 181-192 - [c18]John H. Holmes:
Detection of Sentinel Predictor-Class Associations with XCS: A Sensitivity Analysis. IWLCS 2005: 270-281 - [c17]John H. Holmes, Jennifer A. Sager:
The EpiXCS Workbench: A Tool for Experimentation and Visualization. IWLCS 2005: 333-344 - 2003
- [c16]Kathryn H. Bowles, John H. Holmes, Mary D. Naylor, Matthew J. Liberatore, Robert L. Nydick:
Expert Consensus for Discharge Referral Decisions Using Online Delphi. AMIA 2003 - [c15]John H. Holmes, Joshua P. Metlay, William C. Holmes, Nkuchia M'ikanatha:
Developing a Patient Intervention to Reduce Antibiotic Overuse. AMIA 2003 - [c14]Nkuchia M'ikanatha, John H. Holmes, Marian Michaels, Robert Aber, Richard Simons, Eugene Lengrich, Allen Kunselman, Brian Southwell, Kirsten Waller, James Rankin, Adrianne Farley, Ebbing Lautenbach:
Residents' Perspectives on the Use of the Internet to Improve Infectious Disease Reporting. AMIA 2003 - [c13]Barry G. Silverman, Joshua Mosley, Michael Johns, Ransom Weaver, Melanie Green, John H. Holmes, Stephen Kimmel, William C. Holmes:
Computer Games May Be Good For Your Health: Shifting Healthcare Behavior Via Interactive Drama Videogames. AMIA 2003 - [c12]Lewis Hassell, John H. Holmes:
Modeling the Workflow of Prescription Writing. SAC 2003: 235-239 - 2002
- [j3]John H. Holmes, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson:
Learning classifier systems: New models, successful applications. Inf. Process. Lett. 82(1): 23-30 (2002) - [j2]John H. Holmes, E. Andrew Balas, Suzanne Austin Boren:
A Guide for Developing Patient Safety Curricula for Undergraduate Medical Education. J. Am. Medical Informatics Assoc. 9(Supplement): 124-127 (2002) - [c11]John H. Holmes, Warren B. Bilker:
The Effect of Missing Data on Learning Classifier System Learning Rate and Classification Performance. IWLCS 2002: 46-60 - 2001
- [c10]Lewis Hassell, John H. Holmes:
Physician and Patient: Communication Modeling in a Medical Environment. AMIA 2001 - [c9]John H. Holmes:
A Representation for Accuracy-Based Assessment of Classifier System Prediction Performance. IWLCS 2001: 43-56 - 2000
- [j1]John H. Holmes, Dennis R. Durbin, Flaura K. Winston:
The learning classifier system: an evolutionary computation approach to knowledge discovery in epidemiologic surveillance. Artif. Intell. Medicine 19(1): 53-74 (2000) - [c8]John H. Holmes, Dennis R. Durbin, Flaura K. Winston:
Discovery of predictive models in an injury surveillance database: an application of data mining in clinical research. AMIA 2000 - [c7]John H. Holmes, Barry G. Silverman, Yi Chen, Ransom Weaver, Stephen Kimmel, Charles Branas, Douglas Ivins:
HEART SENSE: A Game-based Approach to Reducing Delay in Seeking Care for Acute Coronary Syndrome. AMIA 2000 - [c6]John H. Holmes:
Applying a Learning Classifier System to Mining Explanatory and Predictive Models from a Large Clinical Database. IWLCS 2000: 103-113 - [c5]John H. Holmes, Dennis R. Durbin, Flaura K. Winston:
A New Bootstrapping Method to Improve Classification Performance in Learning Classifier Systems. PPSN 2000: 745-754
1990 – 1999
- 1999
- [c4]John H. Holmes, Andrew Batshaw, Scott Jaspan, Gregory Jaspan, Juan Gabriel Ruiz, Harold I. Feldman:
The Study Design Consultant: A CLIPS/CGI-Mediated Approach to Deploying Expert Systems on the World Wide Web. AMIA 1999 - [c3]John H. Holmes:
Learning Classifier Systems Applied to Knowledge Discovery in Clinical Research Databases. Learning Classifier Systems 1999: 243-262 - 1998
- [c2]John H. Holmes, Flaura K. Winston, Dennis R. Durbin, Esha Bhatia, Kristy Arbogast, John Werner:
The Partners for Child Passenger Safety Project: An Information Infrastructure for Injury Surveillance. AMIA 1998 - 1997
- [c1]John H. Holmes:
Discovering Risk of Disease with a Learning Classifier System. ICGA 1997: 426-433
Coauthor Index
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