Interpretable Machine Learning|Aided Optical Deciphering of Serum ...

Interpretable Machine Learning-Aided Optical Deciphering of Serum ...

We performed interpretable and automated machine learning (ML) analysis of differential SERS features of serum exosomes to build LC diagnostic models.

Interpretable Machine Learning-Aided Optical Deciphering of Serum ...

Interpretable Machine Learning-Aided Optical Deciphering of. Serum Exosomes for Early detection, Staging and Subtyping of. Lung Cancer. Yujie Liu1,‡, Chenlei ...

Interpretable Machine Learning-Aided Optical Deciphering of Serum ...

Interpretable Machine Learning-Aided Optical Deciphering of Serum Exosomes for Early Detection, Staging, and Subtyping of Lung Cancer · No full- ...

Machine Learning in Chemistry on ... - X.com

Interpretable Machine Learning-Aided Optical Deciphering of Serum Exosomes for Early Detection, Staging, and Subtyping of Lung Cancer ...

Yijia Peng | Semantic Scholar

Interpretable Machine Learning-Aided Optical Deciphering of Serum Exosomes for Early Detection, Staging, and Subtyping of Lung Cancer. Yujie LiuChenlei Cai

Interpretable Machine Learning-Aided Optical Deciphering of Serum ...

Interpretable Machine Learning-Aided Optical Deciphering of Serum Exosomes for Early Detection, Staging, and Subtyping of Lung Cancer. 可解释的机器学习辅助 ...

Yijia Peng's research works | Shanghai Jiao Tong University and ...

Yijia Peng's 1 research works with 0 citations, including: Interpretable Machine Learning-Aided Optical Deciphering of Serum Exosomes for Early Detection, ...

Development of interpretable machine learning models associated ...

Our study aimed to investigate the associations between 43 of 8 classes representative environmental chemicals in serum/urine and mortality.

Interpretable Machine Learning on Metabolomics Data Reveals ...

Interpretable Machine Learning-Aided Optical Deciphering of Serum Exosomes for Early Detection, Staging, and Subtyping of Lung Cancer. · Medicine, Materials ...

Interpretable Machine Learning Enhances Disease Prognosis - arXiv

implemented an SVM model to predict mortality risk using features including CRP, blood urea nitrogen (BUN), serum ... Computer Vision, 2021, pp. 1326–1335 ...

Deep humoral profiling coupled to interpretable machine learning ...

Schistosomiasis, a highly prevalent parasitic disease, affects more than 200 million people worldwide. Current diagnostics based on parasite ...

Definitions, methods, and applications in interpretable machine ...

Machine-learning models have demonstrated great success in learning complex patterns that enable them to make predictions about unobserved data.

Interpretable machine learning-derived nomogram model for early ...

... vision loss [10]. For most ... In summary, with an extensively targeted serum metabolomics analysis and interpretable machine learning ...

Fit interpretable models. Explain blackbox machine learning. - GitHub

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof.

Interpretable Machine Learning - AMiner

Later chapters focus on general model- agnostic methods for interpreting black box models like feature importance and accumulated local effects ...

Revealing the grammar of small RNA secretion using interpretable ...

We developed ExoGRU, a deep-learning model for predicting secretion probabilities of small RNAs based on their primary sequence.

Decoding Optical Data with Machine Learning - PMC - NCBI

This tradeoff is at the core of finding an optimal ML model for a given task. Once a task is determined, physical interpretability is another ...

Interpretable Machine Learning Approaches for Forecasting and ...

SHAP is mostly used for interpreting air pollution prediction. Interpretability makes outcomes more accessible to non-experts. Transparent models are bridging ...

Interpretable machine learning for understanding compositional and ...

Artificial intelligence (AI) and machine learning (ML) have enabled property-targeted design of glasses. Several machine learning models and ...

Interpretable Machine Learning for Personalized Medical ... - MDPI

It is the simplest of all machine-learning algorithms, featuring fast prediction speed, and easy learning and understanding. Logistic regression ...