The Addition of ROTEM Parameter Did Not Significantly Improve the Massive Transfusion Prediction in Severe Trauma Patients by Dongyup Baik, Seok-Ran Yeom, Sung-Wook Park, Youngmo Cho, Wook Tae Yang, Hoon Kwon, Jae Il Lee, Jun-Kyeung Ko, Hyuk Jin Choi, Up Huh, Tae Sik Goh, Chan-Hee Song, Lee Hwangbo, Il Jae Wang

“…However, there were limited studies on whether the prediction value could be improved by adding the ROTEM parameter to the prediction model for in-hospital mortality and massive transfusion (MT) in trauma patients. …”
Get full text

Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud by Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao

Subjects: Get full text

Size Effect on Recycled Concrete Strength and Its Prediction Model Using Standard Neutrosophic Number by X. Peng, Q. W. Yang, F. J. Qin

Get full text

Predicting the onset of chronic kidney disease (CKD) for diabetic patients with aggregated longitudinal EMR data. by Neda Aminnejad, Michelle Greiver, Huaxiong Huang

“…This research focuses on developing a predictive model to classify diabetic patients showing signs of kidney function impairment based on their CKD development risk. …”
Get full text

A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN by Jiantao Chang, Yuanying Qiu, Xianguang Kong

“…Output prediction is one of the difficult issues in production management. …”
Get full text

Development and validation of a dynamic nomogram to predict alexithymia in young and middle aged stroke patients by Tinglin Zhang, Feiyang Sun, Xiaodie Ma, Yaoyao Liu, Fangyan Li, Lei Zhang

“…This study aims to develop and validate a dynamic nomogram to predict the risk of alexithymia in this population. …”
Get full text

Study on Prediction of Coal-Gas Compound Dynamic Disaster Based on GRA-PCA-BP Model by Kai Wang, Kangnan Li, Feng Du

“…After verification, the model can effectively predict the occurrence of coal-gas compound dynamic disaster. …”
Get full text

The Role of Anatomical Imaging and Intraoperative Neuromonitoring (IONM) for Successful Prediction of a Nonrecurrent Laryngeal Nerve by Hiroki Kuwazoe, Keisuke Enomoto, Daichi Murakami, Naoko Kumashiro, Saori Takeda, Muneki Hotomi

Get full text

Performance Improvements of a Permanent Magnet Synchronous Machine via Functional Model Predictive Control by Ahmed M. Kassem, A. A. Hassan

“…To alleviate computational effort and to reduce numerical problems, particularly in large prediction horizon, an exponentially weighted functional model predictive control (FMPC) is employed. …”
Get full text

A Hybrid Approach Based on Variational Mode Decomposition for Analyzing and Predicting Urban Travel Speed by Eui-Jin Kim, Ho-Chul Park, Seung-Young Kho, Dong-Kyu Kim

“…The regular components are extracted as the low-frequency modes, and the irregular components presenting uncertainty are transformed into a combination of modes, which is more predictable than the original uncertainty. For the prediction, the VMD decomposes the travel speed data into modes, and these modes are predicted and summed to represent the predicted travel speed. …”
Get full text

IL-6-Inducing Peptide Prediction Based on 3D Structure and Graph Neural Network by Ruifen Cao, Qiangsheng Li, Pijing Wei, Yun Ding, Yannan Bin, Chunhou Zheng

“…Most existing methods for predicting IL-6-induced peptides use traditional machine learning methods, whose feature selection is based on prior knowledge. …”
Get full text

Automated system for calving time prediction and cattle classification utilizing trajectory data and movement features by Wai Hnin Eaindrar Mg, Thi Thi Zin, Pyke Tin, Masaru Aikawa, Kazuyuki Honkawa, Yoichiro Horii

“…Abstract Accurately predicting the calving time in cattle is essential for optimizing livestock management and ensuring animal welfare. …”
Get full text

Loxapine and Cyproheptadine Combined Limit Clozapine Rebound Psychosis and May Also Predict Clozapine Response by Lila Aboueid, Richard H. McCarthy

Get full text

Predictive Biomarkers of Bacillus Calmette-Guérin Immunotherapy Response in Bladder Cancer: Where Are We Now? by Luís Lima, Mário Dinis-Ribeiro, Adhemar Longatto-Filho, Lúcio Santos

“…Combinatory analysis of the candidate predictive markers is a crucial step to create a predictive profile of treatment response.…”
Get full text

Thermal Distribution Mapping and Its Role in Informing Fatigue Life Predictions of FRP Patrol Vessels by Rachman Daudy Kevinaura, Zubaydi Achmad, Ismail Abdi, Ariesta Rizky Chandra, Pratikno Herman, Putra Nicky Rahmana, Murwatono Totok Triputrastyo

Subjects: Get full text

DRG2 as a Biomarker to Enhance the Predictive Efficacy of PD-L1 Immunohistochemistry Assays by Muralidharan Mani, Seong Hee Choi, Hyuk Nam Kwon, Jeong Woo Park

Subjects: Get full text

Retracted: Investigation of Insulation Properties Using Microwave Nondevastating Methodology to Predict the Strength of Polymer Materials by Advances in Materials Science and Engineering

Get full text

A Dynamic Interval Auto-Scaling Optimization Method Based on Informer Time Series Prediction by Yu Ding, Chenhao Li, Zhengong Cai, Xinghao Wang, Bowei Yang

Subjects: Get full text

Development of robust machine learning models for predicting flexural strengths of fiber-reinforced polymeric composites by Abdulhammed K. Hamzat, Umar T. Salman, Md Shafinur Murad, Ozkan Altay, Ersin Bahceci, Eylem Asmatulu, Mete Bakir, Ramazan Asmatulu

“…This study investigates the potential of machine learning (ML) techniques to predict the flexural properties of fiber-reinforced composites accurately and efficiently. …”
Get full text

Time Series Analysis: Application of LSTM model in predicting PM 2.5 concentration in Beijing by Yang Rui

“…Air pollution forecasting for public health and policy-making has a critical importance, this paper employs a Long Short-Term Memory (LSTM) model to perform in-depth prediction of PM2.5 concentrations measured at the U.S. …”
Get full text