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Risk Factors and Predictive Models for Peripherally Inserted Central Catheter Unplanned Extubation in Patients With Cancer: Prospective, Machine Learning Study

Risk Factors and Predictive Models for Peripherally Inserted Central Catheter Unplanned Extubation in Patients With Cancer: Prospective, Machine Learning Study

In this study, 3 ML algorithms, namely, logistic regression (LR), support vector machine (SVM), and RF, were selected to build risk prediction models for PICC-UE in patients with cancer. We compared these models using the area under the receiver operating characteristic (ROC) curve (AUC) and the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method [26].

Jinghui Zhang, Guiyuan Ma, Sha Peng, Jianmei Hou, Ran Xu, Lingxia Luo, Jiaji Hu, Nian Yao, Jiaan Wang, Xin Huang

J Med Internet Res 2023;25:e49016

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Article has an altmetric score of 2

The Role of Information Boxes in Search Engine Results for Symptom Searches: Analysis of Archival Data

The Role of Information Boxes in Search Engine Results for Symptom Searches: Analysis of Archival Data

Logistic regression was used to analyze the association between page characteristics, info box characteristics, the characteristics of standard web results, and (separately) those of ads on clicks on standard web results or ads. This analysis was conducted at the level of a standard web result or ad. We did not analyze clicks on itemized web results, as clicks on them were the least common. We did not analyze clicks on info boxes, as many of them did not have links, and therefore, clicks were rare.

Lorien C Abroms, Elad Yom-Tov

JMIR Infodemiology 2022;2(2):e37286

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Article has an altmetric score of 4