Results 181 to 190 of about 91,735 (266)

Development of a predictive model for depressive symptoms in type 2 diabetes mellitus patients under community management: Based on visual function index

Ibrain, EarlyView.
Visual impairment has been associated with an increased risk of depression in patients with diabetes, yet no studies have explored the role of visual function as a predictor of depression. To develop and validate a predictive model for depression risk in patients with Type 2 Diabetes Mellitus (T2DM) in community health settings, incorporating a visual ...
Rong‐song Sun, Sheng‐xu Huo, Tian‐lin Zhang, Hao‐jiang Ying, Jun‐hua Wang, Li‐na Xu, Xin‐lin Luo, Yi Yang, Yuan‐dong Hu   +8 more
wiley   +1 more source

Hypoxemia prediction model based on XGBoost during sedation for gastrointestinal endoscopy. [PDF]

Front Med (Lausanne)
Zhao R, Chen Z, Teng Q, Xu T, Li Q, Gong H, Ji H, Zhang H.   +7 more
europepmc   +1 more source

Hydrogen Halide Gas Sensors: Active Materials, Operation Principles, and Emerging Technologies

Interdisciplinary Materials, EarlyView.
This review considers hydrogen halide (HX) gas sensors across functional materials and principles: acoustic, chemical, optical and nanophotonic. The strong acidity and reactivity of HX gases are discussed as constraints for stability and selectivity of these devices.
Xiuzhen Liu, Nikita Tukachev, Kehang Wang, Dmirty Zhirihin, Yaopeng Cheng, Pavel Krasnov, Mingzhao Song, Soslan Khubezhov, Wenping Yin, Emmanuel Stratakis, Sailing He, Andrey L. Rogach, Sergey Makarov   +12 more
wiley   +1 more source

In silico perturbations provide multivariate interpretability in predicting post-lung transplant outcomes. [PDF]

Sci Rep
Luo L, Możejko M, Markov NS, Peltekian A, Mohsin S, Carn M, Cooper P, Lysne J, Joudi A, Betensley A, Bemiss BC, Myers C, Bharat A, Tomic R, Arunachalam A, Szczurek E, Budinger GRS, Misharin AV, Subramani MV.   +18 more
europepmc   +1 more source

ESG Performance and Credit Risk: Evidence From Chinese Manufacturing Companies

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study investigates the effect of corporate environmental, social, and governance (ESG) performance on credit risk using a sample of manufacturing firms listed on China's Shanghai and Shenzhen A‐share markets from 2009 to 2021. Employing fixed effects, the generalised method of moments, and instrumental variable models, we find that ...
Yanan Wang, Xiao Zhang, Michal Wojewodzki, Yuxin Jian, Fadey AbiDaoud   +4 more
wiley   +1 more source

Machine learning versus traditional formulas for fetal weight estimation: An international multicenter study evaluating prediction accuracy across birth weight percentiles

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To assess whether machine learning (ML) offers improved birth weight prediction accuracy, since despite numerous models, the Hadlock formula remains the clinical standard. Methods A multicenter retrospective study analyzed data from 9674 singleton pregnancies with estimated fetal weight (EFW) within 7 days of delivery.
Omer Dor, Eran Ashwal, May Cohen, Ori Rottenstreich, Yariv Yogev, Noam Shomron, Misgav Rottenstreich   +6 more
wiley   +1 more source

An XGBoost-based cellular automata for modeling PM₂.₅ concentration using ground and satellite data. [PDF]

Sci Rep
Farokhi S, Maleki J, Foroutan E.
europepmc   +1 more source

Machine learning‐based prediction of large‐for‐gestational‐age neonates in diabetic and non‐diabetic pregnancies

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study determines whether a machine‐learning model integrating sonographic biometry with maternal clinical parameters improves prediction of large‐for‐gestational‐age (LGA) compared with Hadlock's EFW formula. Methods We conducted a retrospective cohort study including all singleton live births at ≥32 gestational weeks at a ...
Ohad Houri, Asaf Romano, Asnat Walfisch, Eran Hadar, Yinon Gilboa, Leor Perl, Nadav Loebl, Ron Unger   +7 more
wiley   +1 more source

Entropy-Augmented Forecasting and Portfolio Construction at the Industry-Group Level: A Causal Machine-Learning Approach Using Gradient-Boosted Decision Trees. [PDF]

Entropy (Basel)
Cohen G, Aiche A, Eichel R.
europepmc   +1 more source

Construction and Validation of a Preoperative Surgical Difficulty Prediction and Risk Stratification System for Posterior Spinal Deformity Correction Surgery Based on Machine Learning ‐ Multicenter Cohort Study

iMetaMed, EarlyView.
A web calculator, trained on multicenter data with seven Boruta‐selected preoperative features, predicts prolonged operative time for posterior spinal deformity correction to enable individualized planning and optimized operating‐room resources. ABSTRACT Operative duration reflects surgical complexity and is valuable for perioperative planning.
Chan Xu, Jialiang Zheng, Chengliang Yin, Runmin Li, Xubin Quan, Binghao Chen, Zhaohui Hu, Tongqing Luo, Hao Jiang, Xuewen Hou, Qizhong Xu, Weiheng He, Liang Chen, Anfa Chen, Xin Zhou, Wei Huang, Sen Gao, Jiali Yu, Zhi‐Ri Tang, Yusi Zhang, Kai Wang, Shi‐Nan Wu, Wencai Liu, Xiangdong Xi, Haizhen Ding, Qiang Liu, Haopeng Luan, Wenle Li   +27 more
wiley   +1 more source