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Prediction of absolute bioavailability of medicines in children: based on predicted pediatric clearance from adults
Published 2024-09-01“…Aim: The objective of this study was to evaluate the predictive performance of a proposed method to predict absolute bioavailability of medicines in children (infants to adolescents). …”
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Predictive Value of Obstetrical Doppler Parameters to Predict Oxidative Stress and Cord Blood PH in Newborn Infants
Published 2014-12-01“… OBJECTIVE: We sought to determine the clinical value of obstetrical Doppler performed at early stages of active labor in predicting oxidative stress and cord blood pH in neonates. …”
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Stroke Prediction Based on Machine Learning
Published 2025-01-01“…Machine learning technology can analyze patients’ historical health data and biometrics to identify high-risk individuals in a timely manner, thereby effectively predicting stroke.This paper evaluates the predictive performance Random Forest and Support Vector Machine (SVM). …”
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Prediction of hemolytic peptides and their hemolytic concentration
Published 2025-02-01“…Abstract Peptide-based drugs often fail in clinical trials due to their toxicity or hemolytic activity against red blood cells (RBCs). Existing methods predict hemolytic peptides but not the concentration (HC50) required to lyse 50% of RBCs. …”
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Data Visualization and Prediction Model Analysis
Published 2025-01-01“…The purpose of this paper is to study the application of data visualization and compare different prediction models. In this work, I present three different prediction models and apply them on the US airline industry datasets by using Python as the programming language. …”
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Real-Time Football Match Prediction Platform
Published 2025-01-01“…This paper presents a Python-based platform for predicting football match outcomes by collecting and processing real-time data from the SofaScore website. …”
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Deep learning-based prediction of autoimmune diseases
Published 2025-02-01“…Experimental results show that both models exhibit good performance in the prediction of the four autoimmune diseases, with the AutoY model performing slightly better in comparison. …”
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Application of federated learning in predicting breast cancer
Published 2025-01-01“…The prediction and diagnosis of breast cancer relies on multimodal data, such as imaging, genetic information, and patient lifestyle habits. …”
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Explore Machine Learning's Prediction of Football Games
Published 2025-01-01“…The aim of this study is to predict the outcome and score of football matches. …”
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DATA MINING APPROACH FOR PREDICTING STUDENT PERFORMANCE
Published 2012-05-01Subjects: Get full text
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Analyzing the Application of Machine Learning in Anemia Prediction
Published 2025-01-01“…This paper explores the applications of machine learning in the prediction of anemia, highlighting its potential to revolutionize clinical diagnosis and management. …”
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DATA MINING APPROACH FOR PREDICTING STUDENT PERFORMANCE
Published 2012-05-01Subjects: Get full text
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PREDICTING THE LEARNING PATH TO LEARNER’S OPTIMUM COMPREHENSION
Published 2024-04-01“…This is to enable the improved system predict the best learning path to optimum comprehension for learners. …”
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Prediction of Network Threats and Attacks by Mathematical Simulation
Published 2024-11-01Subjects: Get full text
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Temperature and Humidity Prediction Based on Machine Learning
Published 2025-01-01“…These predictions are crucial for key sectors such as agriculture, energy management, and public safety. …”
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Polygenic height prediction for the Han Chinese in Taiwan
Published 2025-02-01“…This method enhances the correlation between predicted and actual height and significantly reduces the discrepancies between predicted and actual height in both males and females.…”
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Liver diseases: epidemiology, causes, trends and predictions
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Effects of Operation Prediction Sharing for Collaborative Avatar Robot
Published 2025-01-01Subjects: Get full text
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The Usefulness of Intrapartum Transperineal Ultrasonography for the Prediction of Mode of Delivery
Published 2021-08-01“…The receiver operating characteristics curve showed that measurement of angle of progression with <110.5 degrees (p=0.001) and measurement of head-perineum distance with >52.5 millimeters (p=0.001) were associated with emergent cesarean delivery. For the prediction of delivery mode, both angle of progression and head-perineum distance had high sensitivity and specificity. …”
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Research on the Application of Reinforcement Learning in Traffic Flow Prediction
Published 2025-01-01“…However, traditional statistical models and prediction methods based on historical data exhibit many limitations when dealing with complex, dynamic, and nonlinear traffic flow data. …”
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