Results 101 to 110 of about 69,061 (248)

Validation of HES coding for the detection of major bleeding events: insights from the ROBOT-ACS study

BMC Medical Research Methodology
Background Increasingly research studies use HES (Hospital Episode Statistics) data to report clinical outcomes. No data exists on the performance of individual ICD-10 (International Classification of Diseases 10th Revision) diagnostic codes for ...
Liam Mullen, Rod Stables
doaj   +1 more source

Maternal vulnerability and birth interval in England: a birth cohort study using hospital episode statistics from 2006 to 2016

International Journal of Population Data Science, 2018
Aim To determine the association between birth interval for mothers with and without indicators of vulnerability. Methods We included mothers who gave birth in 2011 recorded in Hospital Episode Statistics.
Linda Wijlaars, Ruth Blackburn, Ruth Gilbert   +2 more
doaj   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring

Advanced Science, EarlyView.
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen, Haoyu Wang, Guixin Xu, Yuqin Yuan, Xinmeng Cai, Zhengwu Wei, Dongheng Zhang, Qibin Sun, Tianwei Zhang, Cuntai Guan, Yan Chen   +10 more
wiley   +1 more source

Distinct Biotypes of Visual Perception in Major Depressive Disorder

Advanced Science, EarlyView.
In a discover dataset (272 acute MDD patients), this work identifies a novel depression biotype characterized by impaired visual motion perception, using machine learning clustering. An independent dataset confirms the robustness of this biotype through cross‐validation and demonstrates its generalizability.
Zhuoran Cai, Xi‐Wen Hu, Yuyang Li, Zheng Lin, Yongjie Li, Yong‐Chun Cai, Tao Xu, Ke Jia, Jin‐Fang Han, Zhong‐Lin Tan, Dezhong Yao, Xue Mei Song, Sugai Liang, Georg Northoff   +13 more
wiley   +1 more source

Significance of Self‐Expandable Metallic Stent for Postoperative Intra‐Abdominal Infection After Pancreatoduodenectomy in Patients With a Hard Pancreas

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Self‐expandable metal stents (SEMS) are often used for preoperative biliary drainage in pancreatoduodenectomy (PD); however, their impact on postoperative intra‐abdominal infection (POAI) remains unclear. This study aimed to evaluate the clinical significance of SEMS in relation to POAI.
Kosuke Mori, Haruyoshi Tanaka, Nana Kimura, Mina Fukasawa, Ayaka Itoh, Yoshihiro Shirai, Kazuto Shibuya, Kentaro Nagaoka, Yoshihiro Yamamoto, Tsutomu Fujii   +9 more
wiley   +1 more source

Effect of Broad‐Spectrum Antibiotic Prophylaxis on Post‐Pancreatoduodenectomy Infectious Complications: Nationwide Inpatient Database Study in Japan

Annals of Gastroenterological Surgery, EarlyView.
Using a nationwide Japanese inpatient database, we evaluated whether broad‐spectrum antibiotic prophylaxis improves postoperative outcomes after pancreatoduodenectomy compared with narrow‐spectrum antibiotics. In propensity score–weighted analyses of 45 099 patients, broad‐spectrum prophylaxis was associated with significantly lower rates of intra ...
Hiroki Kitagawa, Shotaro Aso, Yuki Hirano, Kenichiro Uemura, Keita Kouzu, Satoru Matsuda, Hiroki Matsui, Kiyohide Fushimi, Junichi Sasaki, Yuko Kitagawa, Hideo Yasunaga   +10 more
wiley   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Dual‐Scale Transformer Fusion With Meta Learning for Micro Metastasis Detection in Thyroid Cancer

Advanced Intelligent Systems, EarlyView.
A dual‐scale transformer model enhanced by meta‐learning enables accurate detection of tiny metastatic lesions in thyroid cancer. By combining cellular and tissue‐level features, the method outperforms existing models and shows strong adaptability to rare cases with limited data.
Jingtao Wang, Junhai Shi, Hengli Ni, Limei Zhao, Jing Huang, Jianming Li   +5 more
wiley   +1 more source

Clostridioides difficile infections, recurrences, and clinical outcomes in real-world settings from 2015 to 2019: The RECUR England study

International Journal of Infectious Diseases
Objective: To estimate the epidemiological and clinical burden of Clostridioides difficile infections (CDIs) and recurrences (rCDIs) in England. Methods: This retrospective study included adult patients diagnosed with CDI (community or hospital settings)
Subrata Ghosh, Ana Antunes, Hanna Rinta-Kokko, Elena Chaparova, Sarah Lay-Flurrie, Aurore Tricotel, Fredrik L. Andersson   +6 more
doaj   +1 more source