OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study
Cheng Fang, Yifeng Pan, Luotong Zhao, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 12, pp. e41819-e41819
Open Access | Times Cited: 23
Cheng Fang, Yifeng Pan, Luotong Zhao, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 12, pp. e41819-e41819
Open Access | Times Cited: 23
Showing 23 citing articles:
Machine Learning in Neurosurgery: Toward Complex Inputs, Actionable Predictions, and Generalizable Translations
Ethan Schonfeld, Nicole Mordekai, Alex Berg, et al.
Cureus (2024)
Open Access | Times Cited: 4
Ethan Schonfeld, Nicole Mordekai, Alex Berg, et al.
Cureus (2024)
Open Access | Times Cited: 4
Combining clinical-radiomics features with machine learning methods for building models to predict postoperative recurrence in patients with chronic subdural hematoma: Retrospective Cohort Study (Preprint)
Cheng Fang, Xiao Ji, Yifeng Pan, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e54944-e54944
Open Access | Times Cited: 4
Cheng Fang, Xiao Ji, Yifeng Pan, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e54944-e54944
Open Access | Times Cited: 4
The Field Attributes May not Accurately Predict the Need for Early Tracheostomy Tube Insertion in Severe TBI Patients: A New Insight With the Help of AI Algorithms
Adrina Habibzadeh, Sepehr Khademolhosseini, Reza Taheri, et al.
Health Science Reports (2025) Vol. 8, Iss. 3
Open Access
Adrina Habibzadeh, Sepehr Khademolhosseini, Reza Taheri, et al.
Health Science Reports (2025) Vol. 8, Iss. 3
Open Access
Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study
Heonyi Lee, Yi‐Jun Kim, Jin‐Hong Kim, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e63983-e63983
Open Access
Heonyi Lee, Yi‐Jun Kim, Jin‐Hong Kim, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e63983-e63983
Open Access
Identifying miRNA biomarkers for breast cancer and ovarian cancer: a text mining perspective
Xin Li, Andrea Dai, Richard Tran, et al.
Breast Cancer Research and Treatment (2023) Vol. 201, Iss. 1, pp. 5-14
Closed Access | Times Cited: 9
Xin Li, Andrea Dai, Richard Tran, et al.
Breast Cancer Research and Treatment (2023) Vol. 201, Iss. 1, pp. 5-14
Closed Access | Times Cited: 9
Predicting the Severity and Discharge Prognosis of Traumatic Brain Injury Based on Intracranial Pressure Data Using Machine Learning Algorithms
Jun Zhu, Yingchi Shan, Yihua Li, et al.
World Neurosurgery (2024) Vol. 185, pp. e1348-e1360
Closed Access | Times Cited: 3
Jun Zhu, Yingchi Shan, Yihua Li, et al.
World Neurosurgery (2024) Vol. 185, pp. e1348-e1360
Closed Access | Times Cited: 3
Potential Applications and Ethical Considerations for Artificial Intelligence in Traumatic Brain Injury Management
Kryshawna Beard, Ashley M. Pennington, Amina K. Gauff, et al.
Biomedicines (2024) Vol. 12, Iss. 11, pp. 2459-2459
Open Access | Times Cited: 3
Kryshawna Beard, Ashley M. Pennington, Amina K. Gauff, et al.
Biomedicines (2024) Vol. 12, Iss. 11, pp. 2459-2459
Open Access | Times Cited: 3
Random forest-based prediction of intracranial hypertension in patients with traumatic brain injury
Jun Zhu, Yingchi Shan, Yihua Li, et al.
Intensive Care Medicine Experimental (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 2
Jun Zhu, Yingchi Shan, Yihua Li, et al.
Intensive Care Medicine Experimental (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 2
Estimability study on the age of toddlers’ gait development based on gait parameters
Chisa Tsuyuki, Haruna Hiraga, Motoki Sudo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Chisa Tsuyuki, Haruna Hiraga, Motoki Sudo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data
Young‐Taek Park, Donghan Kim, Ji Soo Jeon, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e46608-e46608
Open Access | Times Cited: 1
Young‐Taek Park, Donghan Kim, Ji Soo Jeon, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e46608-e46608
Open Access | Times Cited: 1
Development of a System for Predicting Hospitalization Time for Patients With Traumatic Brain Injury Based on Machine Learning Algorithms: User-Centered Design Case Study
Huan Zhou, Cheng Fang, Yifeng Pan
JMIR Human Factors (2024) Vol. 11, pp. e62866-e62866
Open Access | Times Cited: 1
Huan Zhou, Cheng Fang, Yifeng Pan
JMIR Human Factors (2024) Vol. 11, pp. e62866-e62866
Open Access | Times Cited: 1
Development and Validation of a Novel Classification System and Prognostic Model for Open Traumatic Brain Injury: A Multicenter Retrospective Study
Yuhui Chen, Li Chen, Liang Xian, et al.
Neurology and Therapy (2024)
Open Access | Times Cited: 1
Yuhui Chen, Li Chen, Liang Xian, et al.
Neurology and Therapy (2024)
Open Access | Times Cited: 1
Predictive Modeling of Long-Term Care Needs in Traumatic Brain Injury Patients Using Machine Learning
Tee-Tau Eric Nyam, Kuan-Chi Tu, Nai-Ching Chen, et al.
Diagnostics (2024) Vol. 15, Iss. 1, pp. 20-20
Open Access | Times Cited: 1
Tee-Tau Eric Nyam, Kuan-Chi Tu, Nai-Ching Chen, et al.
Diagnostics (2024) Vol. 15, Iss. 1, pp. 20-20
Open Access | Times Cited: 1
Predicting length of stay ranges by using novel deep neural networks
Hong Zou, Wei Yang, Meng Wang, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13573-e13573
Open Access | Times Cited: 3
Hong Zou, Wei Yang, Meng Wang, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13573-e13573
Open Access | Times Cited: 3
Machine Learning Approach for the Prediction of In-Hospital Mortality in Traumatic Brain Injury Using Bio-Clinical Markers at Presentation to the Emergency Department
Ahammed Mekkodathil, Ayman El‐Menyar, Mashhood Naduvilekandy, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2605-2605
Open Access | Times Cited: 3
Ahammed Mekkodathil, Ayman El‐Menyar, Mashhood Naduvilekandy, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2605-2605
Open Access | Times Cited: 3
Construction of a predictive model based on MIV-SVR for prognosis and length of stay in patients with traumatic brain injury: Retrospective cohort study
Yifeng Pan, Cheng Fang, Xueling Zhu, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 2
Yifeng Pan, Cheng Fang, Xueling Zhu, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 2
Characterising Hospital Admission Patterns and Length of Stay in the Emergency Department at Mater Dei Hospital Malta
Lalit Garg, Natasha Attard, Roberta J Caruana, et al.
(2023)
Open Access | Times Cited: 1
Lalit Garg, Natasha Attard, Roberta J Caruana, et al.
(2023)
Open Access | Times Cited: 1
Characterizing hospital admission patterns and length of stay in the emergency department at Mater Dei Hospital Malta
Lalit Garg, Natasha Attard, Vijay Prakash, et al.
Elsevier eBooks (2024), pp. 29-64
Closed Access
Lalit Garg, Natasha Attard, Vijay Prakash, et al.
Elsevier eBooks (2024), pp. 29-64
Closed Access
Prediction Model for Unfavorable Outcome in Primary Decompressive Craniectomy for Isolated Moderate to Severe Traumatic Brain Injury in India: A Prospective Observational Study
Kirandeep Kaur, Nidhi Panda, Shalvi Mahajan, et al.
World Neurosurgery (2024) Vol. 194, pp. 123423-123423
Open Access
Kirandeep Kaur, Nidhi Panda, Shalvi Mahajan, et al.
World Neurosurgery (2024) Vol. 194, pp. 123423-123423
Open Access
Differential Diagnostic Value of Machine Learning–Based Models for Embolic Stroke
HsunYu Kuo, Tsai-Wei Liu, Yo‐Ping Huang, et al.
Clinical and Applied Thrombosis/Hemostasis (2023) Vol. 29
Open Access
HsunYu Kuo, Tsai-Wei Liu, Yo‐Ping Huang, et al.
Clinical and Applied Thrombosis/Hemostasis (2023) Vol. 29
Open Access
Enhancing hospital course and outcome prediction in patients with traumatic brain injury: A machine learning study
Guangming Zhu, Burak Berksu Ozkara, Hui Chen, et al.
The Neuroradiology Journal (2023) Vol. 37, Iss. 1, pp. 74-83
Closed Access
Guangming Zhu, Burak Berksu Ozkara, Hui Chen, et al.
The Neuroradiology Journal (2023) Vol. 37, Iss. 1, pp. 74-83
Closed Access
Combining clinical-radiomics features with machine learning methods for building models to predict postoperative recurrence in patients with chronic subdural hematoma: Retrospective Cohort Study (Preprint)
Cheng Fang, Xiao Ji, Yifeng Pan, et al.
(2023)
Closed Access
Cheng Fang, Xiao Ji, Yifeng Pan, et al.
(2023)
Closed Access
Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data (Preprint)
Young‐Taek Park, Donghan Kim, Ji Soo Jeon, et al.
(2023)
Closed Access
Young‐Taek Park, Donghan Kim, Ji Soo Jeon, et al.
(2023)
Closed Access
