Search Articles

View query in Help articles search

Search Results (1 to 10 of 59 Results)

Download search results: CSV END BibTex RIS


Predicting Postoperative Recurrence Using a Support Vector Machine for Patients With Esophageal Squamous Cell Carcinoma: Machine Learning Modeling Development and Validation Study

Predicting Postoperative Recurrence Using a Support Vector Machine for Patients With Esophageal Squamous Cell Carcinoma: Machine Learning Modeling Development and Validation Study

Esophageal cancer poses a threat to public health due to its high morbidity and mortality rates [1,2]. Postoperative tumor node metastasis (TNM) staging is the most valuable index for evaluating the prognosis of patients with esophageal squamous cell carcinoma (ESCC). However, it is an index that can only be confirmed after surgery and can only provide a theoretical basis for postoperative treatment strategies.

Meng Qing Xu, Zhi Sheng Jiang, Wan Yu Liao, Ying Kang, Xiao Yue Feng, Kang Jiang, Qiong Jiang, Zhuang Zhuang Cong, Jing Luo, Lin Wu, Yi Shen, Fang Yu Wang

JMIR Cancer 2025;11:e68027


Biological Age Estimation From the Age Gap Using Deep Learning Integrating Morbidity and Mortality: Model Development and Validation Study

Biological Age Estimation From the Age Gap Using Deep Learning Integrating Morbidity and Mortality: Model Development and Validation Study

While these approaches have shown potential for assessing age-related outcomes using clinical data [13], many published BA estimation models do not explicitly incorporate morbidity or mortality data during model training [14]. As a result, their relevance to clinical practice and their ability to predict meaningful health outcomes may be limited.

Seong-Eun Moon, Ji Won Yoon, Jae Hyun Bae, Shinyoung Joo, Yoo Hyung Kim, Bon Hyang Lee, Seokho Yoon, Haanju Yoo, Young Min Cho

J Med Internet Res 2025;27:e71592


Effects of Injury Registry Data on Policymaking, Hospitalizations, and Mortality: Systematic Review

Effects of Injury Registry Data on Policymaking, Hospitalizations, and Mortality: Systematic Review

The National Policy for the Reduction of Morbidity and Mortality from Accidents and Violence was established in response to the challenge posed by injuries as a public health issue in Brazil [5]. This policy has led to several key initiatives, including the launch of the National Policy for Emergency Care in 2003 [6] and the proposal for creating the National Network for the Prevention of Violence and Health Promotion in 2004 [7].

Ana Cláudia Medeiros-de-Souza, Luana Emanuelly Sinhori Lopes, Tayna Felicissimo Gomes de Souza Bandeira, Lucas Reis Correia, Naiza Nayla Bandeira de Sá, Bruno Zocca de Oliveira

JMIR Public Health Surveill 2025;11:e67115


Hospitalization and Mortality in Brazilian Children and Adolescents Due to COVID-19: Retrospective Study

Hospitalization and Mortality in Brazilian Children and Adolescents Due to COVID-19: Retrospective Study

Morbidity and mortality due to COVID-19 are not similar to other etiologies of acute respiratory distress syndrome. This is because fulminant activation of coagulation cascades can occur in COVID-19, resulting in widespread microvascular thrombosis and the consumption of clotting factors [9,22-25].

Ana Carolina Pereira de Godoy, Reinaldo Bulgarelli Bestetti

JMIR Pediatr Parent 2025;8:e67546


Analyzing Usage of the Metaverse by Associations of Patients With Prostate Cancer During the 2023 Blue Ribbon Campaign: Cross-Sectional Survey Study

Analyzing Usage of the Metaverse by Associations of Patients With Prostate Cancer During the 2023 Blue Ribbon Campaign: Cross-Sectional Survey Study

To reduce morbidity and mortality associated with prostate cancer, it is important to accurately communicate knowledge and encourage early screening. In addition, patient awareness and active participation in the treatment process affect treatment outcomes and costs, so research on interventions to increase patient engagement is important [5,6]. Misconceptions need to be corrected, and reliable information needs to be communicated.

Jung Ki Jo, Yeeun Kim, Yun-Sok Ha, Kwang Taek Kim, Sangjun Yoo, Woo Suk Choi, Jihye Yang, Jaeeun Shin, Sun Il Kim, Jeong Hyun Kim

J Med Internet Res 2025;27:e63030


Artificial Intelligence Models for Pediatric Lung Sound Analysis: Systematic Review and Meta-Analysis

Artificial Intelligence Models for Pediatric Lung Sound Analysis: Systematic Review and Meta-Analysis

Accurate and timely diagnosis is essential for the treatment of pediatric respiratory illnesses, which remain a leading cause of morbidity and mortality among children worldwide [1,2]. Auscultation of lung sounds is the most widely used method of respiratory diagnosis due to its simplicity, cost-effectiveness, and safety.

Ji Soo Park, Sa-Yoon Park, Jae Won Moon, Kwangsoo Kim, Dong In Suh

J Med Internet Res 2025;27:e66491


A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

This condition not only escalates morbidity but also substantially increases in-hospital mortality by approximately 3- to 9-fold [2]. The severity of this risk is further underscored in patients who developed postoperative AKI after intraabdominal surgery, as a large-scale study reported a 15-fold higher risk of mortality in patients with AKI compared to those without AKI [3].

Ji Won Min, Jae-Hong Min, Se-Hyun Chang, Byung Ha Chung, Eun Sil Koh, Young Soo Kim, Hyung Wook Kim, Tae Hyun Ban, Seok Joon Shin, In Young Choi, Hye Eun Yoon

J Med Internet Res 2025;27:e62853


Media Framing and Portrayals of Ransomware Impacts on Informatics, Employees, and Patients: Systematic Media Literature Review

Media Framing and Portrayals of Ransomware Impacts on Informatics, Employees, and Patients: Systematic Media Literature Review

In addition, there is growing evidence from clinical practice and research that ransomware attacks impact patient morbidity and mortality. Ghafur et al [61] analyzed the negative outcomes of the National Health Service in Great Britain after the 2017 Wanna Cry ransomware attack. They found that although there were no statistically significant differences in mortality rates compared to the baseline, there was an economic impact of £5.9 million (US $7.7 million).

Atiya Avery, Elizabeth White Baker, Brittany Wright, Ishmael Avery, Dream Gomez

J Med Internet Res 2025;27:e59231


Targeted Behavior Change Communication Using a Mobile Health Platform to Increase Uptake of Long-Lasting Insecticidal Nets Among Pregnant Women in Tanzania: Hati Salama “Secure Voucher” Study Cluster Randomized Controlled Trial

Targeted Behavior Change Communication Using a Mobile Health Platform to Increase Uptake of Long-Lasting Insecticidal Nets Among Pregnant Women in Tanzania: Hati Salama “Secure Voucher” Study Cluster Randomized Controlled Trial

Pregnant women and adolescents are at heightened risk of morbidity and mortality by malaria, with 22% of pregnant women exposed to malaria in East and Southern Africa in 2020 [1]. Malaria infection during pregnancy can result in miscarriage, premature delivery, low birth weight, or death in neonates, as well as maternal anemia and maternal death [2].

Trinity Vey, Eleonora Kinnicutt, Andrew G Day, Nicola West, Jessica Sleeth, Kenneth Bernard Nchimbi, Karen Yeates

J Med Internet Res 2025;27:e51524