37 Works

Additional file 2 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 2. Additional details for the external dataset.

Additional file 4 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 4: Description of the gamma and c parameters. Fig. S2. This figure shows the decision boundaries and support vectors for different settings of the regularization parameter (C) and Kernel coefficient (gamma). We used the mglearn package to create this figure [27].

Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Abstract Background Cluster randomized trials (CRTs) are becoming an increasingly important design. However, authors of CRTs do not always adhere to requirements to explicitly identify the design as cluster randomized in titles and abstracts, making retrieval from bibliographic databases difficult. Machine learning algorithms may improve their identification and retrieval. Therefore, we aimed to develop machine learning algorithms that accurately determine whether a bibliographic citation is a CRT report. Methods We trained, internally validated, and externally...

Β-Cyclodextrin-graft-poly(amidoamine) dendrons as the nitric oxide deliver system for the chronic rhinosinusitis therapy

Tao Liu, Guowei Li, Xidong Wu, Shaohua Chen, Siyi Zhang, Hong Han, Hongbin Zhang, Xiaoning Luo, Xiang Cai & Dong Ma
Chronic rhinosinusitis (CRS) is a rather prevalent condition with a chronic inflammatory process, which is hard to cure. Herein, a new antibacterial drug, nitric oxide (NO), was used for the attempt on CRS therapy. To achieve this, a star copolymer (β-CD-PAMAM) consisting of the β-cyclodextrin (β-CD) core and seven PAMAM-G3 arms, which was designed as a low-cytotoxicity and high NO loading carrier, were synthesized and characterizied. The obtained β-CD-PAMAM/NONOate showed the effect in inhibiting and...

mRNA based vaccines provide broad protection against different SARS-CoV-2 variants of concern

Haomeng Wang, Zhao Chen, Zhenghua Wang, Jin Li, Zhihong Yan, Jinbo Yuan, Airu Zhu, Lan Chen, Ye Liu, Chenlong Hu, Ali Zhu, Guowei Li, Yuehu Li, Jie Deng, Liqiao Ma, Xiuwen Sui, Wei Miao, Junqiang Li, Xiuyu Zheng, Jinhua Piao, Yanfeng Yao, Juhong Rao, Chao Shan, Zhiming Yuan, Jincun Zhao … & Tao Zhu
In order to overcome the pandemic of COVID-19, messenger RNA (mRNA)-based vaccine has been extensively researched as a rapid and versatile strategy. Herein, we described the immunogenicity of mRNA-based vaccines for Beta and the most recent Omicron variants. The homologous mRNA-Beta and mRNA-Omicron and heterologous Ad5-nCoV plus mRNA vaccine exhibited high-level cross-reactive neutralization for Beta, original, Delta, and Omicron variants. It indicated that the COVID-19 mRNA vaccines have great potential in the clinical use against...

Additional file 9 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 9. Details and results for applying our model on a dialysis-related dataset. Table S1. Number of relevant articles retrieved with and without machine learning algorithm using the demonstration dataset (n=882 records). The research objective was to review CRTs in the hemodialysis setting to report key methodological and ethical issues.

Additional file 4 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 4: Description of the gamma and c parameters. Fig. S2. This figure shows the decision boundaries and support vectors for different settings of the regularization parameter (C) and Kernel coefficient (gamma). We used the mglearn package to create this figure [27].

Additional file 1 of Association between metabolically healthy obesity and risk of atrial fibrillation: taking physical activity into consideration

Ruoting Wang, Ivan Olier, Sandra Ortega-Martorell, Yingxin Liu, Zebing Ye, Gregory YH Lip & Guowei Li
Supplementary Material 1

Association between metabolically healthy obesity and risk of atrial fibrillation: taking physical activity into consideration

Ruoting Wang, Ivan Olier, Sandra Ortega-Martorell, Yingxin Liu, Zebing Ye, Gregory YH Lip & Guowei Li
Abstract The modification of physical activity (PA) on the metabolic status in relation to atrial fibrillation (AF) in obesity remains unknown. We aimed to investigate the independent and joint associations of metabolic status and PA with the risk of AF in obese population. Based on the data from UK Biobank study, we used Cox proportional hazards models for analyses. Metabolic status was categorized into metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO). PA was...

mRNA based vaccines provide broad protection against different SARS-CoV-2 variants of concern

Haomeng Wang, Zhao Chen, Zhenghua Wang, Jin Li, Zhihong Yan, Jinbo Yuan, Airu Zhu, Lan Chen, Ye Liu, Chenlong Hu, Ali Zhu, Guowei Li, Yuehu Li, Jie Deng, Liqiao Ma, Xiuwen Sui, Wei Miao, Junqiang Li, Xiuyu Zheng, Jinhua Piao, Yanfeng Yao, Juhong Rao, Chao Shan, Zhiming Yuan, Jincun Zhao … & Tao Zhu
In order to overcome the pandemic of COVID-19, messenger RNA (mRNA)-based vaccine has been extensively researched as a rapid and versatile strategy. Herein, we described the immunogenicity of mRNA-based vaccines for Beta and the most recent Omicron variants. The homologous mRNA-Beta and mRNA-Omicron and heterologous Ad5-nCoV plus mRNA vaccine exhibited high-level cross-reactive neutralization for Beta, original, Delta, and Omicron variants. It indicated that the COVID-19 mRNA vaccines have great potential in the clinical use against...

mRNA based vaccines provide broad protection against different SARS-CoV-2 variants of concern

Haomeng Wang, Zhao Chen, Zhenghua Wang, Jin Li, Zhihong Yan, Jinbo Yuan, Airu Zhu, Lan Chen, Ye Liu, Chenlong Hu, Ali Zhu, Guowei Li, Yuehu Li, Jie Deng, Liqiao Ma, Xiuwen Sui, Wei Miao, Junqiang Li, Xiuyu Zheng, Jinhua Piao, Yanfeng Yao, Juhong Rao, Chao Shan, Zhiming Yuan, Jincun Zhao … & Tao Zhu
In order to overcome the pandemic of COVID-19, messenger RNA (mRNA)-based vaccine has been extensively researched as a rapid and versatile strategy. Herein, we described the immunogenicity of mRNA-based vaccines for Beta and the most recent Omicron variants. The homologous mRNA-Beta and mRNA-Omicron and heterologous Ad5-nCoV plus mRNA vaccine exhibited high level cross-reactive neutralization for Beta, original, Delta and Omicron variants. It indicated that the COVID-19 mRNA vaccines have great potential in the clinical use...

Additional file 1 of The reporting of pilot and feasibility studies in the top dental specialty journals is suboptimal

Mohammed I. U. Khan, Hartirath K. Brar, Cynthia Y. Sun, Rebecca He, Hussein A. El-Khechen, Katie Mellor, Lehana Thabane & Carlos Quiñonez
Additional file 1: Table S1. Search strategy for EMBASE and MEDLINE. Table S2. The journals searched for dental speciality.

Additional file 10 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 10. Examples of titles and abstracts that were classified incorrectly by our algortihms.

Additional file 1 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 1. Justification for using a CRT search filter.

Additional file 5 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 5. Continuous skip-gram architecture.

Additional file 9 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 9. Details and results for applying our model on a dialysis-related dataset. Table S1. Number of relevant articles retrieved with and without machine learning algorithm using the demonstration dataset (n=882 records). The research objective was to review CRTs in the hemodialysis setting to report key methodological and ethical issues.

Additional file 2 of Association between metabolically healthy obesity and risk of atrial fibrillation: taking physical activity into consideration

Ruoting Wang, Ivan Olier, Sandra Ortega-Martorell, Yingxin Liu, Zebing Ye, Gregory YH Lip & Guowei Li
Supplementary Material 2

Additional file 2 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 2. Additional details for the external dataset.

Additional file 3 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 3: Fig. S1. A general architecture for a convolutional neural work used for text classification.

Additional file 6 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 6. Python libraries used for this project.

Additional file 6 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 6. Python libraries used for this project.

Additional file 7 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 7: Fig. S3. Probability plot for the CRTs in the first external data classified as a CRT (Figure A, 665 CRTs) and non-CRTs classified as a CRT (Figure B, 1251 non-CRTs). The x-axis depicts the stacked ensemble model's prediction of the article being classified as a CRT. The y-axis represents the proportion of all documents that had the corresponding probability.

Additional file 8 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

Ahmed A. Al-Jaishi, Monica Taljaard, Melissa D. Al-Jaishi, Sheikh S. Abdullah, Lehana Thabane, P. J. Devereaux, Stephanie N. Dixon & Amit X. Garg
Additional file 8. Screenshots of the front-end tool used for our machine learning algorithm.

Additional file 1 of The reporting of pilot and feasibility studies in the top dental specialty journals is suboptimal

Mohammed I. U. Khan, Hartirath K. Brar, Cynthia Y. Sun, Rebecca He, Hussein A. El-Khechen, Katie Mellor, Lehana Thabane & Carlos Quiñonez
Additional file 1: Table S1. Search strategy for EMBASE and MEDLINE. Table S2. The journals searched for dental speciality.

The reporting of pilot and feasibility studies in the top dental specialty journals is suboptimal

Mohammed I. U. Khan, Hartirath K. Brar, Cynthia Y. Sun, Rebecca He, Hussein A. El-Khechen, Katie Mellor, Lehana Thabane & Carlos Quiñonez
Abstract Background Pilot and feasibility studies (PAFS) are smaller investigations seeking to assess the feasibility of conducting a larger more definitive study. In late 2016, the CONSORT statement was extended to disseminate good practices for reporting of randomized pilot and feasibility trials. In this quality assurance review, we assessed whether PAFS in the top dental speciality journals adhere to good practices of conduct and reporting, by prioritizing assessment of feasibility and stating pre-defined progression criteria...

Registration Year

  • 2022
    35
  • 2021
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Resource Types

  • Text
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Affiliations

  • St Joseph's Health Centre
    37
  • McMaster University
    37
  • St. Joseph’s Healthcare Hamilton
    26
  • Hamilton Health Sciences
    26
  • Population Health Research Institute
    26
  • University of Cape Town
    26
  • University of Johannesburg
    26
  • Stellenbosch University
    24
  • St Joseph's Health Care
    24
  • University of Guelph
    22