Effectiveness of clinical decision support in controlling inappropriate red blood cell and platelet transfusions, speciality specific responses and behavioural change [0.03%]
临床决策支持在控制不适当的红细胞和血小板输血方面的有效性，专科特定的反应和行为改变
Jolene Atia,Felicity Evison,Suzy Gallier et al.
Jolene Atia et al.
Background: Electronic clinical decision support (CDS) within Electronic Health Records has been used to improve patient safety, including reducing unnecessary blood product transfusions. We assessed the effectiveness of ...
A hybrid sampling algorithm combining synthetic minority over-sampling technique and edited nearest neighbor for missed abortion diagnosis [0.03%]
结合合成少数类过采样技术和编辑最近邻居法的流产诊断混合抽样算法
Fangyuan Yang,Kang Wang,Lisha Sun et al.
Fangyuan Yang et al.
Background: Clinical diagnosis based on machine learning usually uses case samples as training samples, and uses machine learning to construct disease prediction models characterized by descriptive texts of clinical manif...
A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2 [0.03%]
用于预测高风险COVID-19 SARS-Cov-2住院患者的机器学习方法
Alessio Bottrighi,Marzio Pennisi,Annalisa Roveta et al.
Alessio Bottrighi et al.
Background: This study aimed to explore whether explainable Artificial Intelligence methods can be fruitfully used to improve the medical management of patients suffering from complex diseases, and in particular to predic...
Observational Study
BMC medical informatics and decision making. 2022 Dec 28;22(1):340. DOI:10.1186/s12911-022-02076-1 2022
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods [0.03%]
基于母亲健康状况和健康保险服务使用均匀集成机器学习方法预测围产期死亡率
Dawit S Bogale,Tesfamariam M Abuhay,Belayneh E Dejene
Dawit S Bogale
Background: Perinatal mortality in Ethiopia is the highest in Africa, with 68 per 1000 pregnancies intrapartum deaths. It is mainly associated with home delivery, which contributes to more than 75% of perinatal deaths. Fi...
LiSA: an assisted literature search pipeline for detecting serious adverse drug events with deep learning [0.03%]
LiSA：一种用于通过深度学习检测严重药物不良事件的辅助文献搜索流程
Vincent Martenot,Valentin Masdeu,Jean Cupe et al.
Vincent Martenot et al.
Introduction: Detecting safety signals attributed to a drug in scientific literature is a fundamental issue in pharmacovigilance. The constant increase in the volume of publications requires the automation of this tedious...
Measurement of provider fidelity to immunization guidelines: a mixed-methods study on the feasibility of documenting patient refusals of the human papillomavirus vaccine [0.03%]
对免疫指南保真度的测量：一项关于记录人乳头瘤病毒疫苗拒绝的可行性的混合方法研究
Rachel S Chang,Jaimie Z Shing,Jennifer C Erves et al.
Rachel S Chang et al.
Background: Assessment and feedback is a common implementation strategy to improve healthcare provider fidelity to clinical guidelines. For immunization guidelines, fidelity is often measured with doses administered durin...
Observational Study
BMC medical informatics and decision making. 2022 Dec 22;22(1):339. DOI:10.1186/s12911-022-02083-2 2022
Jinghua Yang,Yaping Wan,Qianxi Ni et al.
Jinghua Yang et al.
Background: Causal inference is a crucial element within medical decision-making. There have been many methods for investigating potential causal relationships between disease and treatment options developed in recent yea...
Discussion on machine learning technology to predict tacrolimus blood concentration in patients with nephrotic syndrome and membranous nephropathy in real-world settings [0.03%]
机器学习技术在真实世界环境中预测肾病综合征和膜性肾病患者他克莫司血药浓度的讨论
Weijia Yuan,Lin Sui,Haili Xin et al.
Weijia Yuan et al.
Background: Given its narrow treatment window, high toxicity, adverse effects, and individual differences in its use, we collected and sorted data on tacrolimus use by real patients with kidney diseases. We then used mach...
On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature [0.03%]
人工智能用于预测怀孕期间和怀孕后死亡率的使用情况：文献的系统回顾
Elisson da Silva Rocha,Flavio Leandro de Morais Melo,Maria Eduarda Ferro de Mello et al.
Elisson da Silva Rocha et al.
Background: Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies for the mother and her baby. However, health issues can occur during this period, causing misfortunes, such as the death of...
A FHIR has been lit on gICS: facilitating the standardised exchange of informed consent in a large network of university medicine [0.03%]
在gICS上已经点燃了一把FHIR：促进大学医学大型网络中知情同意的标准交换
Martin Bialke,Lars Geidel,Christopher Hampf et al.
Martin Bialke et al.
Background: The Federal Ministry of Education and Research of Germany (BMBF) funds a network of university medicines (NUM) to support COVID-19 and pandemic research at national level. The "COVID-19 Data Exchange Platform"...