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Heart failure classification using deep learning to extract spatiotemporal features from ECG
In this study, we used the MIMIC-III public dat... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 15, 2024 Category: Information Technology Authors: Chang-Jiang Zhang, Yuan-Lu, Fu-Qin Tang, Hai-Peng Cai, Yin-Fen Qian and Chao-Wang Tags: Research Source Type: research

Automated machine learning for early prediction of acute kidney injury in acute pancreatitis
Acute kidney injury (AKI) represents a frequent and grave complication associated with acute pancreatitis (AP), substantially elevating both mortality rates and the financial burden of hospitalization. The aim... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 11, 2024 Category: Information Technology Authors: Rufa Zhang, Minyue Yin, Anqi Jiang, Shihou Zhang, Xiaodan Xu and Luojie Liu Tags: Research Source Type: research

Hybrid architecture based intelligent diagnosis assistant for GP
As the first point of contact for patients, General Practitioners (GPs) play a crucial role in the National Health Service (NHS). An accurate primary diagnosis from the GP can alleviate the burden on specialis... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 10, 2024 Category: Information Technology Authors: Ruibin Wang, Kavisha Jayathunge, Rupert Page, Hailing Li, Jian  Jun Zhang and Xiaosong Yang Tags: Research Source Type: research

Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy
The handling of missing data is a challenge for inference and regression modelling. A particular challenge is dealing with missing predictor information, particularly when trying to build and make predictions ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 8, 2024 Category: Information Technology Authors: Pedro Cardoso, John  M. Dennis, Jack Bowden, Beverley M. Shields and Trevelyan J. McKinley Tags: Research Source Type: research

Artificial intelligence performance in detecting lymphoma from medical imaging: a systematic review and meta-analysis
Accurate diagnosis and early treatment are essential in the fight against lymphatic cancer. The application of artificial intelligence (AI) in the field of medical imaging shows great potential, but the diagno... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 8, 2024 Category: Information Technology Authors: Anying Bai, Mingyu Si, Peng Xue, Yimin Qu and Yu Jiang Tags: Research Source Type: research

A command centre implementation before and during the COVID-19 pandemic in a community hospital
The objective of the study was to assess the effects of high-reliability system by implementing a command centre (CC) on clinical outcomes in a community hospital before and during COVID-19 pandemic from the y... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 8, 2024 Category: Information Technology Authors: Liza Grosman-Rimon, Pete Wegier, Ruben Rodriguez, Jane Casey, Susan Tory, Jhanvi Solanki and Barbara E. Collins Tags: Research Source Type: research

Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning
Infectious complications after colorectal cancer (CRC) surgery increase perioperative mortality and are significantly associated with poor prognosis. We aimed to develop a model for predicting infectious compl... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 6, 2024 Category: Information Technology Authors: Yuan Tian, Rui Li, Guanlong Wang, Kai Xu, Hongxia Li and Lei He Tags: Research Source Type: research

Lessons learned from annotation of VAERS reports on adverse events following influenza vaccination and related to Guillain-Barr é syndrome
Vaccine Adverse Events ReportingSystem (VAERS) is a promising resource of tracking adverse events following immunization. Medical Dictionary for Regulatory Activities (MedDRA) terminology used for coding adver... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 5, 2024 Category: Information Technology Authors: Madhuri Sankaranarayanapillai, Su Wang, Hangyu Ji, Hsing-Yi Song and Cui Tao Tags: Research Source Type: research

“VR is the future”: perspectives of healthcare professionals on virtual reality as a diagnostic tool for dementia status in primary care
This study ai... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 4, 2024 Category: Information Technology Authors: Joshua Yondjo and Joyce Siette Tags: Research Source Type: research

A patient safety knowledge graph supporting vaccine product development
Knowledge graphs are well-suited for modeling complex, unstructured, and multi-source data and facilitating their analysis. During the COVID-19 pandemic, adverse event data were integrated into a knowledge gra... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 4, 2024 Category: Information Technology Authors: Andrew M. Simms, Anshul Kanakia, Muhammad Sipra, Bhaskar Dutta and Noel Southall Tags: Research Source Type: research

A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors
The application of artificial intelligence (AI) in the ultrasound (US) diagnosis of breast cancer (BCa) is increasingly prevalent. However, the impact of US-probe frequencies on the diagnostic efficacy of AI m... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 2, 2024 Category: Information Technology Authors: Zhibin Huang, Keen Yang, Hongtian Tian, Huaiyu Wu, Shuzhen Tang, Chen Cui, Siyuan Shi, Yitao Jiang, Jing Chen, Jinfeng Xu and Fajin Dong Tags: Research Source Type: research

Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approach
Precise prediction of esophageal squamous cell carcinoma (ESCC) invasion depth is crucial not only for optimizing treatment plans but also for reducing the need for invasive procedures, consequently lowering c... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 2, 2024 Category: Information Technology Authors: Xiaoli Wu, Hao Wu, Shouliang Miao, Guoquan Cao, Huang Su, Jie Pan and Yilun Xu Tags: Research Source Type: research

Multi-criteria decision making to validate performance of RBC-based formulae to screen \(\beta\)-thalassemia trait in heterogeneous haemoglobinopathies
India has the most significant number of children with thalassemia major worldwide, and about 10,000-15,000 children with the disease are born yearly. Scaling up e-health initiatives in rural areas using a cos... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 2, 2024 Category: Information Technology Authors: Atul  Kumar Jain, Prashant Sharma, Sarkaft Saleh, Tuphan Kanti Dolai, Subhas Chandra Saha, Rashmi Bagga, Alka Rani Khadwal, Amita Trehan, Izabela Nielsen, Anilava Kaviraj, Reena Das and Subrata Saha Tags: Research Source Type: research

Effectiveness of mobile application interventions for stroke survivors: systematic review and meta-analysis
Although smartphone usage is ubiquitous, and a vast amount of mobile applications have been developed for chronic diseases, mobile applications amongst stroke survivors remain unclear. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 2, 2024 Category: Information Technology Authors: Wenjing Cao, Azidah Abdul Kadir, Wenzhen Tang, Juan Wang, Jiamu Yuan and Intan Idiana Hassan Tags: Review Source Type: research

Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges
Objective prognostic information is essential for good clinical decision making. In case of unknown diseases, scarcity of evidence and limited tacit knowledge prevent obtaining this information. Prediction mod... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - January 2, 2024 Category: Information Technology Authors: M. C. Schut, D. A. Dongelmans, D. W. de Lange, S. Brinkman, N. F. de Keizer and A. Abu-Hanna Tags: Research Source Type: research