Treatment Discontinuation Prediction in Patients With Diabetes Using a Ranking Model: Machine Learning Model Development [0.03%]
基于排名模型的糖尿病患者治疗中断预测：机器学习模型研发
Hisashi Kurasawa,Kayo Waki,Akihiro Chiba et al.
Hisashi Kurasawa et al.
Background: Treatment discontinuation (TD) is one of the major prognostic issues in diabetes care, and several models have been proposed to predict a missed appointment that may lead to TD in patients with diabetes by usi...
Introducing JMIR Bioinformatics and Biotechnology: A Platform for Interdisciplinary Collaboration and Cutting-Edge Research [0.03%]
JMIR生物信息学和生物技术的介绍：一个跨学科合作和前沿研究的平台
Ece Dilber Gamsiz Uzun
Ece Dilber Gamsiz Uzun
JMIR Bioinformatics and Biotechnology supports interdisciplinary research and welcomes contributions that push the boundaries of bioinformatics, genomics, artificial intelligence, and pathology informatics. ...
Secure Comparisons of Single Nucleotide Polymorphisms Using Secure Multiparty Computation: Method Development [0.03%]
基于安全多方计算的安全单核苷酸多态性比较：方法开发
Andrew Woods,Skyler T Kramer,Dong Xu et al.
Andrew Woods et al.
Background: While genomic variations can provide valuable information for health care and ancestry, the privacy of individual genomic data must be protected. Thus, a secure environment is desirable for a human DNA databas...
Machine Learning Models for Prediction of Maternal Hemorrhage and Transfusion: Model Development Study [0.03%]
预测产妇出血和输血的机器学习模型：模型开发研究
Homa Khorrami Ahmadzia,Alexa C Dzienny,Mike Bopf et al.
Homa Khorrami Ahmadzia et al.
Background: Current postpartum hemorrhage (PPH) risk stratification is based on traditional statistical models or expert opinion. Machine learning could optimize PPH prediction by allowing for more complex modeling. ...
The Application of Machine Learning in Predicting Mortality Risk in Patients With Severe Femoral Neck Fractures: Prediction Model Development Study [0.03%]
基于机器学习预测严重股骨颈骨折患者死亡风险的应用研究：预测模型发展性研究
Lingxiao Xu,Jun Liu,Chunxia Han et al.
Lingxiao Xu et al.
Background: Femoral neck fracture (FNF) accounts for approximately 3.58% of all fractures in the entire body, exhibiting an increasing trend each year. According to a survey, in 1990, the total number of hip fractures in ...
Monitoring Risk Factors and Improving Adherence to Therapy in Patients With Chronic Kidney Disease (Smit-CKD Project): Pilot Observational Study [0.03%]
慢性肾脏病患者的风险因素监测及改善治疗依从性的研究（Smit-CKD项目）：试点观察性研究
Antonio Vilasi,Vincenzo Antonio Panuccio,Salvatore Morante et al.
Antonio Vilasi et al.
Background: Chronic kidney disease is a major public health issue, with about 13% of the general adult population and 30% of the elderly affected. Patients in the last stage of this disease have an almost uniquely high ri...
Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review [0.03%]
基于机器学习的数字表型在健康领域中的应用：综述研究
Schenelle Dayna Dlima,Santosh Shevade,Sonia Rebecca Menezes et al.
Schenelle Dayna Dlima et al.
Background: Digital phenotyping is the real-time collection of individual-level active and passive data from users in naturalistic and free-living settings via personal digital devices, such as mobile phones and wearable ...
Monitoring Physical Behavior in Rehabilitation Using a Machine Learning-Based Algorithm for Thigh-Mounted Accelerometers: Development and Validation Study [0.03%]
基于机器学习的算法监测康复中大腿佩戴加速计的物理行为：发展与验证研究
Frederik Skovbjerg,Helene Honoré,Inger Mechlenburg et al.
Frederik Skovbjerg et al.
Background: Physical activity is emerging as an outcome measure. Accelerometers have become an important tool in monitoring physical behavior, and newer analytical approaches of recognition methods increase the degree of ...
The Utilization of Heart Rate Variability for Autonomic Nervous System Assessment in Healthy Pregnant Women: Systematic Review [0.03%]
心率变异性的利用：健康孕妇自主神经系统的评估系统综述
Zahra Sharifiheris,Amir Rahmani,Joseph Onwuka et al.
Zahra Sharifiheris et al.
Background: The autonomic nervous system (ANS) plays a central role in pregnancy-induced adaptations, and failure in the required adaptations is associated with adverse neonatal and maternal outcomes. Mapping maternal ANS...
Seasonality of Hashimoto Thyroiditis: Infodemiology Study of Google Trends Data [0.03%]
桥本甲状腺炎的季节性规律：一项基于Google趋势数据的信患学研究
Robert Marcec,Josip Stjepanovic,Robert Likic
Robert Marcec
Background: Hashimoto thyroiditis (HT) is an autoimmune thyroid disease and the leading cause of hypothyroidism in areas with sufficient iodine intake. The quality-of-life impact and financial burden of hypothyroidism and...