Results 111 to 120 of about 4,237,015 (377)

Developing a Clinician‐Friendly Online Dynamic Nomogram for Survival Prediction in Colon Cancer Patients

Annals of Gastroenterological Surgery, EarlyView.
This study developed a user‐friendly online dynamic nomogram using Bayesian model averaging to predict survival in colon cancer patients. Drawing on data from over 2400 cases, the model demonstrated strong predictive accuracy and was externally validated, offering a practical tool to support personalised clinical decision‐making.
Mohammad Asghari‐Jafarabadi, Simon Wilkins, John Paul Plazzer, Raymond Yap, Paul J. McMurrick   +4 more
wiley   +1 more source

Clinical utility of pharyngeal high‐resolution manometry with impedance for upper esophageal sphincter dysfunction in gastroenterology

Advances in Digestive Medicine, EarlyView.
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar, Taher Omari, Michal Szczesniak, Chien‐Lin Chen, Richard Heddle, Charles Cock   +5 more
wiley   +1 more source

Study the Status of Providing Health Information Services in Public Libraries in Tehran [PDF]

پیاورد سلامت
Background and Aim: This research aimed to study the status of providing health information services in public libraries in Tehran, which was conducted based on the views of librarians working in these libraries.
Maryam Andalib Kendri, Ahmadreza Varnaseri, Maryam Ghanbari Khoshnood, Seyed Abedin Hoseini Ahangari, Mohammad Karim Saberi, Hamid Bourghi   +5 more
doaj  

Special Libraries, September 1976 [PDF]

, 1976
Volume 67, Issue 9https://scholarworks.sjsu.edu/sla_sl_1976/1007/thumbnail ...
Special Libraries Association
core   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Special Libraries, October 1944 [PDF]

, 1944
Volume 35, Issue 8https://scholarworks.sjsu.edu/sla_sl_1944/1007/thumbnail ...
Special Libraries Association
core   +2 more sources

Predicting Postresection Colorectal Liver Metastases Recurrence Using Advanced Graph Neural Networks with Explainability and Causal Inference

Advanced Intelligent Systems, EarlyView.
This study introduces a framework that combines graph neural networks with causal inference to forecast recurrence and uncover the clinical and pathological factors driving it. It further provides interpretability, validates risk factors via counterfactual and interventional analyses, and offers evidence‐based insights for treatment planning ...
Jubair Ahmed, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Sami Azam   +3 more
wiley   +1 more source

Perceptions of Medical Librarians Towards the Importance of Information Literacy Skills

Pakistan Journal of Information Management & Libraries, 2015
The purpose of this study was to find out medical librarians' perceptions towards the importance of information literacy (IL) skills. A structured questionnaire, consisting of eight IL skills, was administered to the head librarians of all academic ...
Midrar Ullah, Kanwal Ameen
doaj  

Computer-based library or computer-based learning? [PDF]

, 2010
Traditionally, libraries have played the role of repository of published information resources and, more recently, gateway to online subscription databases. The library online catalog and digital library interface serve an intermediary function to help
Khoo, S.G. Christopher
core  

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source