Integrated intraoperative predictive model for malignancy risk assessment of thyroid nodules with atypia of undetermined significance cytology by Cheng Li, Yong Luo, Yan Jiang, Qi Li

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Predicting the Viscosity of Petroleum Emulsions Using Gene Expression Programming (GEP) and Response Surface Methodology (RSM) by Abubakar A. Umar, Ismail M. Saaid, Aliyu A. Sulaimon, Rashidah M. Pilus

“…The data obtained from the RSM analysis was used to develop a prediction model using gene expression programming (GEP). …”
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Predicting drug combination side effects based on a metapath-based heterogeneous graph neural network by Leixia Tian, Qi Wang, Zhiheng Zhou, Xiya Liu, Ming Zhang, Guiying Yan

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Nonlinear time series prediction algorithm based on AD-SSNET for artificial intelligence–powered Internet of Things by Banteng Liu, Wei Chen, Meng Han, Zhangquan Wang, Ping Sun, Xiaowen Lv, Jiaming Xu, Zegao Yin

“…This article proposes a nonlinear time series prediction algorithm based on the Small-World Scale-Free Network after the AIC-Optimized Subtractive Clustering Algorithm (AIC-DSCA-SSNET, AD-SSNET) to predict the nonlinear and unstable time series, which improves the prediction accuracy. …”
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Study on the Pressure Drop Variation and Prediction Model of Heavy Oil Gas-Liquid Two-Phase Flow by Shanzhi Shi, Jie Li, Xinke Yang, Congping Liu, Ruiquan Liao, Xingkai Zhang, Jiadong Liao

“…The new model can be used to predict pressure drops in high-viscosity gas-liquid two-phase flow.…”
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Mental health risk in human services work across Europe: the predictive role of employment in various sectors by Ágnes Győri, Éva Perpék, Szilvia Ádám

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The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults by Hehua Zhang, Yong Feng, Honghao Yang, Yuqian Li, Zheng Ma, Liuxin Li, Liangkai Chen, Yuhong Zhao, Lishen Shan, Yang Xia

“…Polygenic score of GMA was calculated using 19 distinct single nucleotide polymorphisms. PM2.5 exposure was predicted using a validated Land Use Regression model. …”
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Developing a Predictive Tool for Hospital Discharge Disposition of Patients Poststroke with 30-Day Readmission Validation by Jin Cho, Krystal Place, Rebecca Salstrand, Monireh Rahmat, Misagh Mansouri, Nancy Fell, Mina Sartipi

“…Of the actual home discharges, 95.7% were predicted to be there. However, only 47.8% of predictions for home discharge were actually discharged home. …”
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Predictive role of preoperative sarcopenia for long-term survival in rectal cancer patients: A meta-analysis. by Qiutong Su, Jia Shen

“…<h4>Purpose</h4>To identify the predictive role of sarcopenia in long-term survival among rectal cancer patients who underwent surgery based on available evidence.…”
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Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data by Jaqueline Alvarenga Silveira, Alexandre Ray da Silva, Mariana Zuliani Theodoro de Lima

Subjects: “…Breast cancer recurrence prediction…”
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Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia. by Dyah Aryani Perwitasari, Imaniar Noor Faridah, Haafizah Dania, Didik Setiawan, Triantoro Safaria

“…The objective of this study is to define the model for predicting the adherence in tuberculosis patients, based on the increased level of liver enzymes. …”
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Have serum vitamin D and ferritin a role in predicting the prognosis of autoimmune hepatitis treatment in children? by Salma Nagi, Sania Ali Yehia, Yasmen Abdelaziz Elhagali, Shimaa Saad Elkholy, Basma Mahmoud Abd-Elaati

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Can Met-PET/CT Predict Sporadic Multiglandular Hyperparathyroidism? Report of a Case and Review of the Literature by Andreas Hillenbrand, Johannes Lemke, Doris Henne-Bruns, Ambros J. Beer, Vikas Prasad

“…We analyzed the potential of positron emission tomography/computed tomography (Met-PET/CT) to predict MGD. Methods and Case Presentation. We reviewed the literature, if preoperative Met-PET/CT could predict MGD in patients with pHPT. …”
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Predicting the Progress of Tuberculosis by Inflammatory Response-Related Genes Based on Multiple Machine Learning Comprehensive Analysis by Shuai Ma, Peifei Peng, Zhihao Duan, Yifeng Fan, Xinzhi Li

“…Furthermore, the upstream shared miRNA was predicted, and a miRNA–genes network was constructed. …”
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Modeling of winter wheat yield prediction based on solar-induced chlorophyll fluorescence by machine learning methods by Minxue Zheng, Han Hu, Yue Niu, Qiu Shen, Feng Jia, Xiaolei Geng

Subjects: “…Yield prediction…”
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A Displacement-Based Theory for Predicting the Support Force on the Shield Tunneling Surface in Sandy Soil Layers by Guang Sun, Han Liu, Zhiyuan Guo, Ranjie Li, Tao Li

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Enhancing water pump failure prediction using machine learning: a focus on less-explored variables by Reza Rasinojehdehi, Goran Cirovic

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Construction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model by Xiaoyu Gong, Bo Li, Yu Yang, MengHua Li, Tao Li, Beibei Zhang, Lulin Zheng, Hongfei Duan, Pu Liu, Xin Hu, Xin Xiang, Xinju Zhou

Subjects: “…Mine influx prediction…”
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Structural Predictive Model of Presenilin-2 Protein and Analysis of Structural Effects of Familial Alzheimer’s Disease Mutations by Alejandro Soto-Ospina, Pedronel Araque Marín, Gabriel de Jesús Bedoya, Andrés Villegas Lanau

“…In view of this, protein modeling is performed using prediction and structural refinement tools followed by an energetic and stereochemical characterization for its validation. …”
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ProG-SOL: Predicting Protein Solubility Using Protein Embeddings and Dual-Graph Convolutional Networks by Gen Li, Ning Zhang, Long Fan

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