Choice of refractive surgery types for myopia assisted by machine learning based on doctors ’ surgical selection data
In recent years, corneal refractive surgery has been widely used in clinics as an effective means to restore vision and improve the quality of life. When choosing myopia-refractive surgery, it is necessary to ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 8, 2024 Category: Information Technology Authors: Jiajing Li, Yuanyuan Dai, Zhicheng Mu, Zhonghai Wang, Juan Meng, Tao Meng and Jimin Wang Tags: Research Source Type: research

Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques
The proportion of Canadian youth seeking mental health support from an emergency department (ED) has risen in recent years. As EDs typically address urgent mental health crises, revisiting an ED may represent ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 8, 2024 Category: Information Technology Authors: Simran Saggu, Hirad Daneshvar, Reza Samavi, Paulo Pires, Roberto B. Sassi, Thomas E. Doyle, Judy Zhao, Ahmad Mauluddin and Laura Duncan Tags: Research Source Type: research

Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment
Deep learning has demonstrated significant advancements across various domains. However, its implementation in specialized areas, such as medical settings, remains approached with caution. In these high-stake ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 7, 2024 Category: Information Technology Authors: Salmonn Talebi, Elizabeth Tong, Anna Li, Ghiam Yamin, Greg Zaharchuk and Mohammad R. K. Mofrad Tags: Research Source Type: research

Evaluating MedDRA-to-ICD terminology mappings
In this era of big data, data harmonization is an important step to ensure reproducible, scalable, and collaborative research. Thus, terminology mapping is a necessary step to harmonize heterogeneous data. Tak... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 7, 2024 Category: Information Technology Authors: Xinyuan Zhang, Yixue Feng, Fang Li, Jin Ding, Danyal Tahseen, Ezekiel Hinojosa, Yong Chen and Cui Tao Tags: Research Source Type: research

A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric
The most common eye infection in people with diabetes is diabetic retinopathy (DR). It might cause blurred vision or even total blindness. Therefore, it is essential to promote early detection to prevent or al... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 6, 2024 Category: Information Technology Authors: Sai  Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Anthony S. Maida and Xiali Hei Tags: Research Source Type: research

Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms
Hemodialysis is a life-saving treatment used to eliminate toxins and metabolites from the body during poisoning. Despite its effectiveness, there needs to be more research on this method precisely, with most s... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 6, 2024 Category: Information Technology Authors: Mitra Rahimi, Mohammad Reza Afrash, Shahin Shadnia, Babak Mostafazadeh, Peyman Erfan Talab Evini, Mohadeseh Sarbaz Bardsiri and Maral Ramezani Tags: Research Source Type: research

Establishment of a risk prediction model for bowel necrosis in patients with incarcerated inguinal hernia
Incarceration occurred in approximately 5% to 15% of inguinal hernia patients, with around 15% of incarcerated cases progressing to intestinal necrosis, necessitating bowel resection surgery. Patients with int... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 6, 2024 Category: Information Technology Authors: Jiajie Zhou and Xiaoming Yuan Tags: Research Source Type: research

Machine learning based biomarker discovery for chronic kidney disease –mineral and bone disorder (CKD-MBD)
Chronic kidney disease-mineral and bone disorder (CKD-MBD) is characterized by bone abnormalities, vascular calcification, and some other complications. Although there are diagnostic criteria for CKD-MBD, in s... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 5, 2024 Category: Information Technology Authors: Yuting Li, Yukuan Lou, Man Liu, Siyi Chen, Peng Tan, Xiang Li, Huaixin Sun, Weixin Kong, Suhua Zhang and Xiang Shao Tags: Research Source Type: research

Acute kidney injury comorbidity analysis based on international classification of diseases-10 codes
Acute kidney injury (AKI) is a clinical syndrome that occurs as a result of a dramatic decline in kidney function caused by a variety of etiological factors. Its main biomarkers, serum creatinine and urine out... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 3, 2024 Category: Information Technology Authors: Menglu Wang, Guangjian Liu, Zhennan Ni, Qianjun Yang, Xiaojun Li and Zhisheng Bi Tags: Research Source Type: research

Patient values in patient-provider communication about participation in early phase clinical cancer trials: a qualitative analysis before and after implementation of an online value clarification tool intervention
Patients with advanced cancer who no longer have standard treatment options available may decide to participate in early phase clinical trials (i.e. experimental treatments with uncertain outcomes). Shared dec... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 2, 2024 Category: Information Technology Authors: Liza G. G. van Lent, Mirte van der Ham, Maja J. A. de Jonge, Eelke H. Gort, Marjolein van Mil, Jeroen Hasselaar, Carin C. D. van der Rijt, Jelle van Gurp and Julia C. M. van Weert Tags: Research Source Type: research

The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis
Smoking is a risk factor for many chronic diseases. Multiple smoking status ascertainment algorithms have been developed for population-based electronic health databases such as administrative databases and el... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 2, 2024 Category: Information Technology Authors: Md Ashiqul Haque, Muditha Lakmali Bodawatte Gedara, Nathan Nickel, Maxime Turgeon and Lisa M. Lix Tags: Research Source Type: research

Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic
The objective of our study was to characterize sudden data drift as caused by the COVID pandemic. Furthermore, we invest... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 2, 2024 Category: Information Technology Authors: Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth and Martin Graessner Tags: Research Source Type: research

The development of evaluation scale of the patient satisfaction with telemedicine: a systematic review
Since the outbreak of the COVID-19 pandemic, telemedicine become more and more popular, patients attempt to use telemedicine to meet personal medical needs. Patient satisfaction is a key indicator of insight i... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - February 1, 2024 Category: Information Technology Authors: Yifei Du and Yu Gu Tags: Research Source Type: research

O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies
Oxygen saturation, a key indicator of COVID-19 severity, poses challenges, especially in cases of silent hypoxemia. Electronic health records (EHRs) often contain supplemental oxygen information within clinica... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 31, 2024 Category: Information Technology Authors: Akhila Abdulnazar, Amila Kugic, Stefan Schulz, Vanessa Stadlbauer and Markus Kreuzthaler Tags: Research Source Type: research

An evaluation of GPT models for phenotype concept recognition
Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders fi... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 31, 2024 Category: Information Technology Authors: Tudor Groza, Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall and Justin T. Reese Tags: Research Source Type: research