Effect of Predictive Nursing Combined with Emotional Therapy on Rehabilitation Effect and Psychological State of Patients with Brain Injury after the Operation by Xiaying Huang, Haihua Wu

“…To explore the influence of predictive nursing combined with emotional therapy on the rehabilitation effect and psychological state of patients with brain injury after the operation and to analyze its application value to patients with brain injury after the operation. …”
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Postoperative Ratio of C-Reactive Protein to Albumin as a Predictive Marker in Patients with Crohn’s Disease Undergoing Bowel Resection by Hangfen Zhao, Huaying Liu, Weilin Qi, Wei Liu, Lingna Ye, Qian Cao, Xiaolong Ge, Wei Zhou, Xianfa Wang

“…Compared to the CRP level, the CAR can more accurately predict postoperative complications and can act as a predictive marker in CD patients after surgery.…”
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Postpartum haemorrhage following vaginal delivery: a comprehensive analysis and development of predictive models for aetiological subgroups in Chinese women by Hong Lin, Dandan Zhang, Jinke Li, Mengyuan Shao, Xiaoxue Wang, Xueting Chen, Yangzi Zhou, Zixuan Song

“…The nomogram offers a valuable tool for risk prediction. However, models for PF-PPH, CT-PPH, and CA-PPH require further refinement. …”
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Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks by Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

“…These results demonstrate that the optimized ANN model offers accurate predictions for the steel final phosphorus content.…”
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Crop yield prediction through machine learning: A path towards sustainable agriculture and climate resilience in Saudi Arabia by Mohammad M. Islam, Majed Alharthi, Rotana S. Alkadi, Rafiqul Islam, Abdul Kadar Muhammad Masum

“…Machine learning models were trained using crop yield prediction data to provide recommendations for future crop production. …”
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Development an Inflammation-Related Factor-Based Model for Predicting Organ Failure in Acute Pancreatitis: A Retrospective Cohort Study by Yunpeng Peng, Xiaole Zhu, Chaoqun Hou, Chenyuan Shi, Dongya Huang, Zipeng Lu, Yi Miao, Qiang Li

“…Several inflammation-related factors (IRFs) have been reported to predict organ failure of acute pancreatitis (AP) in previous clinical studies. …”
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Predictive model for determining the indications for automated 3D ultrasound for screening patients at low risk of developing breast tumors by A. E. Garanina, A. V. Kholin

“…To develop indications for 3D ultrasound based on predictive screening models for patients with a low risk of developing breast tumors based on the identification of the most significant risk factors.Patients and methods. …”
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Predicting Time in Range Without Hypoglycaemia Using a Risk Calculator for Intermittently Scanned CGM in Type 1 Diabetes by Fernando Sebastian‐Valles, Jose Alfonso Arranz Martin, Julia Martínez‐Alfonso, Jessica Jiménez‐Díaz, Iñigo Hernando Alday, Victor Navas‐Moreno, Teresa Armenta Joya, Maria del Mar delFandiño García, Gisela Liz Román Gómez, Jon Garai Hierro, Luis Eduardo Lander Lobariñas, Carmen González‐Ávila, Purificación deMartinez de Icaya, Vicente Martínez‐Vizcaíno, Miguel Antonio Sampedro‐Nuñez, Mónica Marazuela

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A Data-Driven Fault Prediction Method for Nuclear Power Systems Based on End-to-End Deep Learning Framework by Lu Chao, Chunbing Wang, Shuai Chen, Qizhi Duan, Hongyun Xie

“…Based on EDN-NPSP presented in this work, we can avoid complicated manual feature extraction and provide the predicted state directly and rapidly. It will provide operators with useful prediction information and enhance the nuclear energy system fault prediction capabilities.…”
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Application of Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference Systems to Predict Activated Carbon Properties for Methane Storage by Ali Ahmadpour, Neda Jahanshahi, Sajjad Rashidi, Naser Chenarani, Mohammad Jaber Darabi Mahboub

“…In this paper, the specifications of some ACs synthesized by chemical activation methods are predicted. The effects of parameters such as agent type, activation time, activation temperature, impregnation ratio and heating rate on the BET surface areas and micropore volumes of ACs are also analyzed. …”
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Multiple blood feeding bouts in mosquitoes allow for prolonged survival and are predicted to increase viral transmission during dry periods by Christopher J. Holmes, Souvik Chakraborty, Oluwaseun M. Ajayi, Melissa R. Uhran, Ronja Frigard, Crystal L. Stacey, Emily E. Susanto, Shyh-Chi Chen, Jason L. Rasgon, Matthew DeGennaro, Yanyu Xiao, Joshua B. Benoit

“…Increased blood feeding and higher survival during dry periods are predicted to increase pathogen transmission, allowing for a rapid rebound in mosquito populations when favorable conditions return. …”
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Explainable machine learning model for predicting decline in platelet count after interventional closure in children with patent ductus arteriosus by Song-Yue Zhang, Yi-Dong Zhang, Hao Li, Qiao-Yu Wang, Qiao-Fang Ye, Xun-Min Wang, Tian-He Xia, Yue-E He, Xing Rong, Ting-Ting Wu, Rong-Zhou Wu

“…Furthermore, clinical descriptions of two children with PDA, with accurate predictions, and explanations of the prediction results were provided.ConclusionIn this study, an ML model (RF) capable of predicting post-intervention DPC in children with PDA undergoing transcatheter closure was established.…”
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Predicting Overburden-Induced Failure Height of Large Mining Face in Shallow Coal Seam Based on Half-Plane Theory by Shuai Di

“…The results show that the traditional empirical formula is not suitable for predicting overburden on three zones of the large mining face in shallow depth. …”
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Prediction of Cisplatin‐Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information by Kaori Ambe, Yuka Aoki, Miho Murashima, Chiharu Wachino, Yuto Deki, Masaya Ieda, Masahiro Kondo, Yoko Furukawa‐Hibi, Kazunori Kimura, Takayuki Hamano, Masahiro Tohkin

“…ABSTRACT Predicting cisplatin‐induced acute kidney injury (Cis‐AKI) before its onset is important. …”
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The apple does not fall far: stable predictive relationships between parents’ ratings of their own and their children’s self-regulatory abilities by Johanna Kneidinger, José C. García Alanis, Ricarda Steinmayr, Silvia Schneider, Hanna Christiansen

“…This study investigates the stability and predictive relationships between parents’ ratings of their own and their children’s executive function and delay aversion. …”
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A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction by Karla Ivankovic, Alessandro Principe, Justo Montoya-Gálvez, Linus Manubens-Gil, Riccardo Zucca, Pablo Villoslada, Mara Dierssen, Rodrigo Rocamora

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Prediction of High-Tech Talents Flow Impact on Labor Income Share: Based on DEA and Fractional Hausdorff Grey Model by Wei Cui, Anwei Wan, Yongbo Yang

“…The fractional Hausdorff grey model predicts that the key determinants of income inequality gap are more than labor income share.…”
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Improving the Accuracy of Rainfall Prediction Using Bias-Corrected NMME Outputs: A Case Study of Surabaya City, Indonesia by Defi Y. Faidah, Heri Kuswanto, Sutikno Sutikno

“…Generating an accurate rainfall prediction is a challenging work due to the complexity of the climate system. …”
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Multi-sequence magnetic resonance imaging radiomics combined with imaging features predicts the difficulty of HIFU treatment of uterine fibroids by Li Shen, Xiao Huang, Yuyao Liu, Shanwei Bai, Fang Wang, Quan Yang

“…A model for predicting EEF has been developed, which is clinically important for predicting the difficulty of HIFU treatment of uterine fibroids.…”
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BiST-SA-LSTM: A Deep Learning Framework for End-to-End Prediction of Mesoscale Eddy Distribution in Ocean by Yaoran Chen, Zijian Zhao, Yaojun Yang, Xiaowei Li, Yan Peng, Hao Wu, Xi Zhou, Dan Zhang, Hongyu Wei

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