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期刊名:Bmc medical informatics and decision making

缩写:BMC MED INFORM DECIS

ISSN:N/A

e-ISSN:1472-6947

IF/分区:3.8/Q2

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共收录本刊相关文章索引3869
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Xiaoyang Lian,Juanzhi Qi,Mengqian Yuan et al. Xiaoyang Lian et al.
Background: Diabetic peripheral neuropathy (DPN) is a common complication of diabetes. Predicting the risk of developing DPN is important for clinical decision-making and designing clinical trials. ...
V Roberts,Patrice Carter,P Barnett et al. V Roberts et al.
Background: This feasibility study has the primary aim of capturing and comparing participant expectations and experiences of using a formal consensus method (FCM) and to explore whether these views change following parti...
Hamidreza Abtahi,Leila Shahmoradi,Shahideh Amini et al. Hamidreza Abtahi et al.
Background: 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 ...
Carl-Fredrik Bassøe Carl-Fredrik Bassøe
Background: 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...
Dania Schütze,Svea Holtz,Michaela C Neff et al. Dania Schütze et al.
Background: 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...
Peera Liewlom Peera Liewlom
Background: 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...
Jue Wang,Ming Jing Yin,Han Chun Wen Jue Wang
Purpose: 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 pred...
Annisa Darmawahyuni,Siti Nurmaini,Muhammad Naufal Rachmatullah et al. Annisa Darmawahyuni et al.
Background: 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...
Randi Foraker,Crystal Phommasathit,Kaleigh Clevenger et al. Randi Foraker et al.
Introduction: 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 l...
Kuang Ming Kuo,Paul C Talley,Chao-Sheng Chang Kuang Ming Kuo
Background: 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...