Results 1 to 10 of about 62,595 (292)

Development of an interpretable machine learning model for predicting in-hospital mortality in ICU patients with sepsis: a retrospective cohort study [PDF]

Frontiers in Medicine
BackgroundSepsis ranks among the primary causes of mortality in intensive care units (ICUs), often resulting in multiple organ dysfunction due to dysregulated systemic inflammation.
Tianyu Zhao, Tianyu Zhao, Kexin Wen, Kexin Wen, Xumin Han, Ruimin Tan, Yongtao Wang, Quansheng Du   +7 more
doaj   +2 more sources

Research on a short-term photovoltaic power prediction method based on CatBoost

Zhejiang dianli, 2023
The intermittent and fluctuating generation power of PV power plants has an increasingly prominent impact on the safe， stable， and economical operation of power grids.
CHEN Haihong, YI Yongli, HUANG Shen, HAN Jingyi   +3 more
doaj   +1 more source

Clinical Validation of Explainable Deep Learning Model for Predicting the Mortality of In-Hospital Cardiac Arrest Using Diagnosis Codes of Electronic Health Records

Reviews in Cardiovascular Medicine, 2023
Background: Using deep learning for disease outcome prediction is an approach that has made large advances in recent years. Notwithstanding its excellent performance, clinicians are also interested in learning how input affects prediction.
Chien-Yu Chi, Hadi Moghadas-Dastjerdi, Adrian Winkler, Shuang Ao, Yen-Pin Chen, Liang-Wei Wang, Pei-I Su, Wei-Shu Lin, Min-Shan Tsai, Chien-Hua Huang   +9 more
doaj   +1 more source

The economic explainability of machine learning and standard econometric models-an application to the U.S. mortgage default risk

International Journal of Strategic Property Management, 2021
This study aims to bridge the gap between two perspectives of explainability−machine learning and engineering, and economics and standard econometrics−by applying three marginal measurements.
Dong-sup Kim, Seungwoo Shin
doaj   +1 more source

基于机器学习的GitHub企业影响力分析与预测

智能科学与技术学报, 2023
企业影响力的高低不仅关系到其行业竞争力，也影响着其社会声誉和未来发展，然而对企业影响力的评价一直没有统一的标准。GitHub是一个代表性的软件开发代码存储库开源平台，现有研究通常使用企业在GitHub发布的项目得到的star总数衡量其影响力高低，但是这种方式难以衡量小微企业和新生企业的潜力。通过引入科学家的影响力衡量指标h指数，以GitHub为信息源进行企业网络建模，同时基于该网络提取特征构建分类器，对企业未来的影响力水平进行预测。在此基础上应用SHAP模型解释技术，判别决定企业影响力的重要特征 ...
王明宇, 宫庆媛, 瞿晶晶, 王新
doaj   +1 more source

Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China

ISPRS International Journal of Geo-Information, 2020
Diverse urban environmental elements provide health and amenity value for residents. People are willing to pay a premium for a better environment. Thus, it is essential to assess the benefits and values of these environmental elements.
Liujia Chen, Xiaojing Yao, Yalan Liu, Yujiao Zhu, Wei Chen, Xizhi Zhao, Tianhe Chi   +6 more
doaj   +1 more source

Data-Driven Identification of Long-Term Glycemia Clusters and Their Individualized Predictors in Finnish Patients with Type 2 Diabetes

Clinical Epidemiology, 2023
Piia Lavikainen,1,* Gunjan Chandra,2,* Pekka Siirtola,2 Satu Tamminen,2 Anusha T Ihalapathirana,2 Juha Röning,2 Tiina Laatikainen,3– 5 Janne Martikainen1 1School of Pharmacy, University of Eastern Finland, Kuopio, Finland; 2Biomimetics and ...
Lavikainen P, Chandra G, Siirtola P, Tamminen S, Ihalapathirana AT, Röning J, Laatikainen T, Martikainen J   +7 more
doaj  

Interpretable machine learning model for shear wave estimation in a carbonate reservoir using LightGBM and SHAP: a case study in the Amu Darya right bank

Frontiers in Earth Science, 2023
The shear wave velocity (Vs) is significant for quantitative seismic interpretation. Although numerous studies have proved the effectiveness of the machine learning method in estimating the Vs using well-logging parameters, the real-world application is ...
Tianze Zhang, Hui Chai, Hongjun Wang, Tongcui Guo, Liangjie Zhang, Wenqi Zhang   +5 more
doaj   +1 more source

Explainable Artificial Intelligence for Diabetes Diagnosis [PDF]

E3S Web of Conferences
Whether young, old, type 1, type 2, gestational, newly diagnosed, long-time sufferer, caretaker or loved one, millions of people are afflicted and affected by diabetes.
Lamri Mohamed, Sahour Abdelhakim, Boumehrez Farouk, Bekhouche Abdelaali   +3 more
doaj   +1 more source

Combining conventional ultrasound and ultrasound elastography to predict HER2 status in patients with breast cancer

Frontiers in Physiology, 2023
Introduction: Identifying the HER2 status of breast cancer patients is important for treatment options. Previous studies have shown that ultrasound features are closely related to the subtype of breast cancer.Methods: In this study, we used features of ...
Xiaoying Zhuo, Xiaoying Zhuo, Ji Lv, Ji Lv, Binjie Chen, Jia Liu, Yujie Luo, Jie Liu, Xiaowei Xie, Jiao Lu, Ningjun Zhao, Ningjun Zhao   +11 more
doaj   +1 more source