Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

Subjects:

Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

“…Especially changes in energy usage rates make it necessary to use renewable energy resources to be sustainable. …”

The overview of the ML algorithms’ flowchart. by Yasemin Ayaz Atalan (21989402)

“…Especially changes in energy usage rates make it necessary to use renewable energy resources to be sustainable. …”

Data Sheet 1_Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography.docx by Rohit Pardasani (22253656)

“…</p>Conclusion<p>This study demonstrates the successful development of a novel AI algorithm utilizing FHR and UA data to analyze and interpret fetal tracing events and parameters. …”

Evaluation metrics of the models constructed by each algorithm. by Xiaoyan Yang (259084)

Subjects:

Phases of proposed algorithm. by Muhammad Abdullah (3357692)

“…An enhanced Bingzhen and Weimin model-based decision-making algorithm is developed to support intelligent diagnosis. …”

Data Sheet 1_Developing decision support algorithm for hypertension medications for use in a digital therapeutic system.pdf by Jeannie K. Lee (9026981)

“…The decision support algorithm was developed through a literature review of clinical and pharmacokinetic studies and knowledge of the pharmacology of aging (pharmacokinetics and pharmacodynamics). …”

Data Sheet 2_Developing decision support algorithm for hypertension medications for use in a digital therapeutic system.pdf by Jeannie K. Lee (9026981)

“…The decision support algorithm was developed through a literature review of clinical and pharmacokinetic studies and knowledge of the pharmacology of aging (pharmacokinetics and pharmacodynamics). …”

Algorithms runtime comparison. by Meilin Zhu (688698)

“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”

Comparison of algorithm performance aesults. by Chunjuan Li (7890182)

“…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Solution results of different algorithms. by Meilin Zhu (688698)

“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”

Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

“…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”

Study area and conceptual diagram of algorithm implementation in one community health worker catchment. by Mauricianot Randriamihaja (9091488)

Subjects:

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

Advancing Continuous Glucose Monitoring (CGM) for Inpatient Clinical Decision Support: Individual Algorithmic Mean Absolute Relative Difference (MARD) by Jill von Conta (22379489)

“…</p><p dir="ltr">Conclusion: Patient-specific algorithmic refinements of CGM data demonstrate the potential to adequately address the unique demands of inpatient diabetes care by reducing intrapersonal MARD, paving the way for the adoption of CGM systems into hospital environments. …”

Confusion Matrix for the Hybrid algorithms. by Faten Al-hussein (20707521)

“…Medical records from 3,000 King Abdulaziz University Hospital patients containing demographic, lifestyle, and lipid profile data were used to develop the models. For the first time, we utilized recommended machine learning algorithms to develop hybrid prediction models to reduce the number of significant KPIs while enhancing HbA1c prediction accuracy. …”

Learning curves under various machine algorithms. by Jinlin Teng (17972595)

“…The findings are as follows:</p><p>1.Machine learning algorithms can be effectively used for urban noise evaluation. …”

ROC curves under various machine algorithms. by Jinlin Teng (17972595)

“…The findings are as follows:</p><p>1.Machine learning algorithms can be effectively used for urban noise evaluation. …”

IOU values of four algorithms. by Hong Li (20183)