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Design and evaluation of a Mobile-Based decision support system to enhance lung transplant candidate assessment and management: knowledge translation integrated with clinical workflow
Accurate and timely decision-making in lung transplantation (LTx) programs is critical. The main objective of this study was to develop a mobile-based evidence-based clinical decision support system (CDSS) to ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 1, 2023 Category: Information Technology Authors: Hamidreza Abtahi, Leila Shahmoradi, Shahideh Amini and Marsa Gholamzadeh Tags: Research Source Type: research

Requirements analysis for an AI-based clinical decision support system for general practitioners: a user-centered design process
As the first point of contact for patients with health issues, general practitioners (GPs) are frequently confronted with patients presenting with non-specific symptoms of unclear origin. This can result in de... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 31, 2023 Category: Information Technology Authors: Dania Sch ütze, Svea Holtz, Michaela C. Neff, Susanne M. Köhler, Jannik Schaaf, Lena S. Frischen, Brita Sedlmayr and Beate S. Müller Tags: Research Source Type: research

A universal diagnosis syntax
Diagnoses are crucial assets of clinical work and provide the foundation for treatment and follow up. They should be informative and customized to the patient ’s problem. Common prefixes, morphemes, and suffixe... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 31, 2023 Category: Information Technology Authors: Carl-Fredrik Bass øe Tags: Research Source Type: research

Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis
With the in-depth application of machine learning(ML) in clinical practice, it has been used to predict the mortality risk in patients with traumatic brain injuries(TBI). However, there are disputes over its p... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 29, 2023 Category: Information Technology Authors: Jue Wang, Ming Jing Yin and Han Chun Wen Tags: Research Source Type: research

Descriptive forest: experiments on a novel tree-structure-generalization method for describing cardiovascular diseases
A decision tree is a crucial tool for describing the factors related to cardiovascular disease (CVD) risk and for predicting and explaining it for patients. Notably, the decision tree must be simplified becaus... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 28, 2023 Category: Information Technology Authors: Peera Liewlom Tags: Research Source Type: research

The accuracy of artificial intelligence used for non-melanoma skin cancer diagnoses: a meta-analysis
With rising incidence of skin cancer and relatively increased mortality rates, an improved diagnosis of such a potentially fatal disease is of vital importance. Although frequently curable, it nevertheless pla... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 28, 2023 Category: Information Technology Authors: Kuang Ming Kuo, Paul C. Talley and Chao-Sheng Chang Tags: Research Source Type: research

Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm
Signal delineation of a standard 12-lead electrocardiogram (ECG) is a decisive step for retrieving complete information and extracting signal characteristics for each lead in cardiology clinical practice. Howe... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 28, 2023 Category: Information Technology Authors: Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, Prazna Paramitha Avi, Samuel Benedict Putra Teguh, Ade Iriani Sapitri, Bambang Tutuko and Firdaus Firdaus Tags: Research Source Type: research

Using the sociotechnical model to conduct a focused usability assessment of a breast reconstruction decision tool
BREASTChoice is a web-based breast reconstruction decision aid. The previous clinical trial —prior to the adaptation of this refined tool in which we explored usability—measured decision quality, quality of lif... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 28, 2023 Category: Information Technology Authors: Randi Foraker, Crystal Phommasathit, Kaleigh Clevenger, Clara Lee, Jessica Boateng, Napiera Shareef and Mary C. Politi Tags: Research Source Type: research

XGBoost-SHAP-based interpretable diagnostic framework for alzheimer ’s disease
Due to the class imbalance issue faced when Alzheimer ’s disease (AD) develops from normal cognition (NC) to mild cognitive impairment (MCI), present clinical practice is met with challenges regarding the auxil... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 25, 2023 Category: Information Technology Authors: Fuliang Yi, Hui Yang, Durong Chen, Yao Qin, Hongjuan Han, Jing Cui, Wenlin Bai, Yifei Ma, Rong Zhang and Hongmei Yu Tags: Research Source Type: research

Short-term prognostic models for severe acute kidney injury patients receiving prolonged intermittent renal replacement therapy based on machine learning
As an effective measurement for severe acute kidney injury (AKI), the prolonged intermittent renal replacement therapy (PIRRT) received attention. Also, machine learning has advanced and been applied to medici... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 24, 2023 Category: Information Technology Authors: Wenqian Wei, Zhefei Cai, Lei Chen, Weijie Yuan, Yingle Fan and Shu Rong Tags: Research Source Type: research

Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population
Accurately predicting the risk of atherosclerotic cardiovascular disease (ASCVD) is crucial for implementing individualized prevention strategies and improving patient outcomes. Our objective is to develop mac... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 24, 2023 Category: Information Technology Authors: Zihao Fan, Zhi Du, Jinrong Fu, Ying Zhou, Pengyu Zhang, Chuning Shi and Yingxian Sun Tags: Research Source Type: research

Shared decision-making in physiotherapy: a cross-sectional study of patient involvement factors and issues in Japan
Evidence-based medicine education has not focused on how clinicians involve patients in decision-making. Although shared decision-making (SDM) has been investigated to address this issue, there are insufficien... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 24, 2023 Category: Information Technology Authors: Tatsuya Ogawa, Shuhei Fujimoto, Kyohei Omon, Tomoya Ishigaki and Shu Morioka Tags: Research Source Type: research

Chinese medical entity recognition based on the dual-branch TENER model
Named Entity Recognition (NER) is a long-standing fundamental problem in various research fields of Natural Language Processing (NLP) and has been practiced in many application scenarios. However, the applicat... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 24, 2023 Category: Information Technology Authors: Hui Peng, Zhichang Zhang, Dan Liu and Xiaohui Qin Tags: Research Source Type: research

Quality indices for topic model selection and evaluation: a literature review and case study
This study reviews several methods for ass... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 22, 2023 Category: Information Technology Authors: Christopher Meaney, Therese A. Stukel, Peter C. Austin, Rahim Moineddin, Michelle Greiver and Michael Escobar Tags: Research article Source Type: research

Machine learning-based mortality prediction models for smoker COVID-19 patients
The large number of SARS-Cov-2 cases during the COVID-19 global pandemic has burdened healthcare systems and created a shortage of resources and services. In recent years, mortality prediction models have show... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - July 21, 2023 Category: Information Technology Authors: Ali Sharifi-Kia, Azin Nahvijou and Abbas Sheikhtaheri Tags: Research Source Type: research