Interpretability of machine learning-based prediction models in healthcare

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Items 101–200 of 416

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5. Comparison of Machine Learning Techniques for Mortality Prediction in a Prospective Cohort of Older Adults
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8. Federated Cox Proportional Hazards Model with multicentric privacy-preserving LASSO feature selection for survival analysis from the perspective of personalized medicine
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12. A Trust-Based Methodology to Evaluate Deep Learning Models for Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images
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14. Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-Making
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16. Application of Machine Learning in Predicting Perioperative Outcomes in Patients with Cancer: A Narrative Review for Clinicians
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17. Interpretable machine learning for time-to-event prediction in medicine and healthcare
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18. Machine learning‐assisted point‐of‐care diagnostics for cardiovascular healthcare
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19. Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study
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20. Interpretable Data-Driven Approach Based on Feature Selection Methods and GAN-Based Models for Cardiovascular Risk Prediction in Diabetic Patients
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21. Budget constrained machine learning for early prediction of adverse outcomes for COVID-19 patients
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23. Computational Analysis of Pathological Image Enables Interpretable Prediction for Microsatellite Instability
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24. Understanding Evapotranspiration Driving Mechanisms in China With Explainable Machine Learning Algorithms
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25. Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
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27. Revealing suicide risk of young adults based on comprehensive measurements using decision tree classification
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30. Blood glucose level prediction in type 1 diabetes: A comparative analysis of interpretable artificial intelligence approaches
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31. Artificial Intelligence in Glioblastoma—Transforming Diagnosis and Treatment
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32. Detection of risk factors of PCOS patients with Local Interpretable Model-agnostic Explanations (LIME) Method that an explainable artificial intelligence model
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33. Squat Detection of Railway Switches and Crossings Using Wavelets and Isolation Forest
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34. Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model
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35. Multimodal large language models for medical image diagnosis: Challenges and opportunities
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36. A Two-Step Approach for Classification in Alzheimer’s Disease
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37. Treatment Detection and Movement Disorder Society‐Unified Parkinson's Disease Rating Scale, Part III Estimation Using Finger Tapping Tasks
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38. Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A Review
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41. Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction
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42. Classification of Daily Body Weight Gains in Beef Calves Using Decision Trees, Artificial Neural Networks, and Logistic Regression
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43. Longitudinal interpretability of deep learning based breast cancer risk prediction
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44. MLHOps: Machine Learning Health Operations
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45. Neuro-Symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels
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46. Improving the Trustworthiness of Interactive Visualization Tools for Healthcare Data through a Medical Fuzzy Expert System
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47. Computational complexity in explainable decision support system: A review
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48. Toward a diagnostic CART model for Ischemic heart disease and idiopathic dilated cardiomyopathy based on heart rate total variability
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49. Predictive Modeling of Delay in an LTE Network by Optimizing the Number of Predictors Using Dimensionality Reduction Techniques
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51. IA-GCN: Interpretable Attention Based Graph Convolutional Network for Disease Prediction
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52. Effective End-to-End Deep Learning Process in Medical Imaging Using Independent Task Learning: Application for Diagnosis of Maxillary Sinusitis
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53. Interpretable Machine Learning: A Case Study of Healthcare
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54. Estimation and Interpretation of Machine Learning Models with Customized Surrogate Model
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56. Predictive Maintenance in Industrial Systems Using Machine Learning
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