Data Sheet 1_Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.pdf by Habtamu Setegn Ngusie (12178327)

“…Factors associated with facility-based deliveries were identified using association rule mining, including parental education levels, timing of initial antenatal care (ANC) check-ups, wealth status, marital status, mobile phone ownership, religious affiliation, media accessibility, and birth order.…”

Data Sheet 2_Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.pdf by Habtamu Setegn Ngusie (12178327)

“…Factors associated with facility-based deliveries were identified using association rule mining, including parental education levels, timing of initial antenatal care (ANC) check-ups, wealth status, marital status, mobile phone ownership, religious affiliation, media accessibility, and birth order.…”

University of Arizona authors' scholarly works published and cited works year 2022 from OpenAlex by Yan Han (11106597)

“…</p><p dir="ltr"><b>Data Quality Considerations:</b></p><ul><li>OpenAlex has improved the accuracy of the data with helps from algorithms and institutions.</li><li>Our current data quality assessment showed the precision and recall 95%+.…”

University of Arizona authors' scholarly works published and cited works year 2023 from OpenAlex by Yan Han (11106597)

“…</p><p dir="ltr"><b>Data Quality Considerations:</b></p><ul><li>OpenAlex has improved the accuracy of the data with helps from algorithms and institutions.</li><li>Our current data quality assessment showed the precision and recall 95%+.…”

University of Arizona authors' scholarly works published and cited works year 2021 from OpenAlex by Yan Han (11106597)

“…</p><p dir="ltr"><b>Data Quality Considerations:</b></p><ul><li>OpenAlex has improved the accuracy of the data with helps from algorithms and institutions.</li><li>Our current data quality assessment showed the precision and recall 95%+.…”

University of Arizona authors' scholarly works published and cited works year 2024 from OpenAlex by Yan Han (11106597)

“…</p><p dir="ltr"><b>Data Quality Considerations:</b></p><ul><li>OpenAlex has improved the accuracy of the data with helps from algorithms and institutions.</li><li>Our current data quality assessment showed the precision and recall 95%+.…”

University of Arizona authors' scholarly works published and cited works year 2020 from OpenAlex by Yan Han (11106597)

“…</p><p dir="ltr"><b>Data Quality Considerations:</b></p><ul><li>OpenAlex has improved the accuracy of the data with helps from algorithms and institutions.</li><li>Our current data quality assessment showed the precision and recall 95%+.…”

Image 1_Patterns of multimorbidity across obesity severity and fat distribution in Anhui, China: a community-based study.tif by Keyi Gu (18574111)

Data Sheet 1_Patterns of multimorbidity across obesity severity and fat distribution in Anhui, China: a community-based study.pdf by Keyi Gu (18574111)

Performance comparison of ML-based models. by Md. Merajul Islam (12646837)

“…Applying predictive modeling for the early identification and detection of CVD holds significant promise for saving lives by enhancing prediction precision through machine learning algorithms. Therefore, this study aimed to predict high-risk individuals for CVD using machine learning algorithms and identify its influencing predictors by association mining rules among individuals in Bangladesh.…”

Table 1_Data mining and safety analysis of voriconazole in patients with a hematological malignant tumor based on the FAERS database: differences between children and adults.docx by Hao Li (31608)

“…</p>Conclusion<p>We used four algorithms (ROR, PRR, BCPNN, MGPS) to mine the signals of voriconazole in patients with a hematological malignant tumor, and compared the differences between children and adults. …”

Table1_Adverse event signal mining and severe adverse event influencing factor analysis of Lumateperone based on FAERS database.docx by Yanjing Zhang (401134)

“…The analysis revealed that 130 preferred terms (PTs) with significant disproportionality were based on the four algorithms, 67 (51.53%) of which were not included in the product labeling, affecting 6 systems and organs. …”

Table 3_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.xlsx by Yingjun Xiao (17603738)

Table 2_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.xlsx by Yingjun Xiao (17603738)

Table 1_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.xlsx by Yingjun Xiao (17603738)

Data Sheet 1_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.pdf by Yingjun Xiao (17603738)

Backpropagation neural network structure. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection by Mehdi Khalil (20625037)

Subjects:

Confusion matrices depict the performance of various ML algorithms. by Caroline L. Alves (14271413)

ROC curves of the models based on the BDHS, 2022 dataset. by Md. Merajul Islam (12646837)