- Title
- Use of the Logical Analysis of Data method for assessing long-term mortality risk after exercise electrocardiography
- Creators
- Michael S LAUER - Department of Cardiology of the Cleveland Clinic Foundation, Cleveland, Ohio, United StatesSorin ALEXE - Center for Operations Research (RUTCOR), Rutgers University, Piscataway, NJ, United StatesClaire E SNADER - Department of Cardiology of the Cleveland Clinic Foundation, Cleveland, Ohio, United StatesEugene H BLACKSTONE - Department of Cardiothoracic Surgery of the Cleveland Clinic Foundation, Cleveland, Ohio, United StatesHemant ISHWARAN - Department of Epidemiology and Biostatistics of the Cleveland Clinic Foundation, Cleveland, Ohio, United StatesPeter L HAMMER - Center for Operations Research (RUTCOR), Rutgers University, Piscataway, NJ, United States
- Publication Details
- Circulation (New York, N.Y.), Vol.106(6), pp.685-690
- Publisher
- Lippincott Williams & Wilkins; Hagerstown, MD
- Academic Unit
- Miller School of Medicine; UMMG Department of Public Health Sciences Research
- Language
- English
- Resource Type
- Journal article
- PMID
- 12163428
- Record Identifier
- 991031559171102976
Journal article
Use of the Logical Analysis of Data method for assessing long-term mortality risk after exercise electrocardiography
Circulation (New York, N.Y.), Vol.106(6), pp.685-690
2002
PMID: 12163428
Metrics
9 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.61 Artificial Intelligence & Machine Learning
- 4.61.145 Feature Selection
- Web Of Science research areas
- Cardiac & Cardiovascular Systems
- Peripheral Vascular Disease
- ESI research areas
- Clinical Medicine
UN Sustainable Development Goals (SDGs)
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Source: InCites