Machine Learning in Medicine
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Summary
This review is to explore what problems in medicine might benefit from such learning approaches and use examples from the literature to introduce basic concepts in machine learning.
- Type
- review
- Published
- 2015-11-17
- Cited by
- 4,151
- References
- 39
- Access
- Open access
- OpenAlex
- https://openalex.org/W2177870565
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3688849
Keywords
Medicine, Medical physics, Medical education, Intensive care medicine
References
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- Phenomapping for Novel Classification of Heart Failure with Preserved Ejection Fraction
- T-helper type 2-driven inflammation defines major subphenotypes of asthma.
- Random survival forests
- The Elements of Statistical Learning
- Learning Deep Architectures for AI
- Precursors of sudden coronary death. Factors related to the incidence of sudden death.
- Sparse coding with an overcomplete basis set: a strategy employed by V1?
- Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation.
- Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival
- Development of a Prognostic Model for Breast Cancer Survival in an Open Challenge Environment
- A molecular imaging primer: modalities, imaging agents, and applications.
- Systematic Analysis of Challenge-Driven Improvements in Molecular Prognostic Models for Breast Cancer
- A novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM risk-SCD).
- Building high-level features using large scale unsupervised learning
Cited by
- Implementation of Calcium and Vitamin D Supplementation in Glucocorticosteroid-Induced Osteoporosis Prevention Guidelines—Insights from Rheumatologists
- Real-Time Monitoring and Analysis of Zebrafish Electrocardiogram with Anomaly Detection
- Interventional heart failure: a new field.
- Can Big Data Simplify the Complexity of Modern Medicine?: Prediction of Right Ventricular Failure After Left Ventricular Assist Device Support as a Test Case.
- CORR Insights®: Can We Estimate Short- and Intermediate-term Survival in Patients Undergoing Surgery for Metastatic Bone Disease?
- Interpretable Boosted Decision Trees for Prediction of Mortality Following Allogeneic Hematopoietic Stem Cell Transplantation
- The Impact of Race on Discharge Disposition and Length of Hospitalization Following Craniotomy for Brain Tumor
- Spectral and dual-energy X-ray imaging for medical applications
- Preliminary Experiment Results of Left Ventricular Remodelling Prediction Using Machine Learning Algorithms
- The Quiet Revolution of Big Data in Medicine
- Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning models
- Machine Learning in Healthcare, Introduction and Real World Application Considerations
- Mobile technology and telemedicine for shoulder range of motion: validation of a motion-based machine-learning software development kit.
- Kunstmatige intelligentie bij het lokaliseren van de driehoek van Calot tijdens een cholecystectomie
- Wearable Sensor Data to Track Subject-Specific Movement Patterns Related to Clinical Outcomes Using a Machine Learning Approach
- Unsupervised Machine Learning for Co/Multimorbidity Analysis
- Deep learning and the evaluation of pulmonary fibrosis
- Unsupervised calibration for noninvasive glucose-monitoring devices using mid-infrared spectroscopy
- Designing an Intelligent Elderly Behavior Detection System
- A k-Nearest Neighbours Classifier for Predicting Catheter Ablation Responses Using Noncontact Electrograms During Persistent Atrial Fibrillation
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