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International Journal of Medical Informatics, Volume 184
Volume 184, 2024
- Minyue Yin
, Jiaxi Lin
Development and validation of a multimodal model in predicting severe acute pancreatitis based on radiomics and deep learning. 105341 - Qian Li, Hong Lv, Yuye Chen, Jingjia Shen, Jia Shi, Chenghui Zhou, Fuxia Yan:
Development and validation of a machine learning prediction model for perioperative red blood cell transfusions in cardiac surgery. 105343 - Tom Ebbers
The implementation of a multidisciplinary, electronic health record embedded care pathway to improve structured data recording and decrease electronic health record burden. 105344 - Jesus Lopez-Alcalde
Methodological challenges in systematic reviews of mHealth interventions: Survey and consensus-based recommendations. 105345 - Daniel Ferrel-Yui, Dion Candelaria
Uptake and implementation of cardiac telerehabilitation: A systematic review of provider and system barriers and enablers. 105346 - Julie Michel, Aurélia Manns
Clinical decision support system in emergency telephone triage: A scoping review of technical design, implementation and evaluation. 105347 - Pernille Scholdan Bertelsen, Claus Bossen
Data work and practices in healthcare: A scoping review. 105348 - Jonas Chromik
ARTEMIS: An alarm threshold and policy mining system for the intensive care unit. 105349 - Lene Baagøe Laukvik, Merete Lyngstad, Ann Kristin Rotegård, Mariann Fossum:
Utilizing nursing standards in electronic health records: A descriptive qualitative study. 105350 - Daniele Pala
Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. 105351 - María Bodí
Assessing the impact of real-time random safety audits through full propensity score matching on reliable data from the clinical information system. 105352 - Sithara Wanni Arachchige Dona, Mary Rose Angeles
An assessment of ten popular pregnancy applications (Apps) available for women in Australia. 105354 - Alexandria L. Hahn
Comparison of evaluation methods for improving the usability of a Spanish mHealth tool. 105355 - Qinhao Wu
A customised down-sampling machine learning approach for sepsis prediction. 105365 - Antti Kallonen
Early detection of late-onset neonatal sepsis from noninvasive biosignals using deep learning: A multicenter prospective development and validation study. 105366 - Jaimin Shah, Kaushik Vithalapara, Shilpa Malik
Human factor engineering of point-of-care near infrared spectroscopy device for intracranial hemorrhage detection in Traumatic Brain Injury: A multi-center comparative study using a hybrid methodology. 105367 - Mesut Teles:
The effect of fear on health information searching behavior during the pandemic: The case of COVID-19. 105368 - Kjersti Mevik
Exploring surgical infection prediction: A comparative study of established risk indexes and a novel model. 105370 - Dogukan Baran Gungormus
A semi-automatic mHealth system using wearable devices for identifying pain-related parameters in elderly individuals. 105371 - Joseph Weddell
Online information for spontaneous coronary artery dissection (SCAD) survivors and their families: A systematic appraisal of content and quality of websites. 105372 - Salvatore Chirumbolo
Trust, trustworthiness and acceptability of a machine learning adoption in data-driven clinical decision support system. Some comments. 105374 - Adnan Muhammad Shah, KangYoon Lee, Abdullah Hidayat
A text analytics approach for mining public discussions in online cancer forum: Analysis of multi-intent lung cancer treatment dataset. 105375 - Shemah Alsulami
Use of wearables among Multiple Sclerosis patients and healthcare Professionals: A scoping review. 105376 - Luis Marco-Ruiz, Miguel Angel Tejedor Hernandez, Phuong Dinh Ngo, Alexandra Makhlysheva, Therese Olsen Svenning, Kari Dyb, Taridzo Chomutare, Carlos Fernández-Llatas, Jorge Muñoz-Gama, Maryam Tayefi:
A multinational study on artificial intelligence adoption: Clinical implementers' perspectives. 105377 - Tao Han, Fan Xiong, Baisheng Sun, Lixia Zhong
Development and validation of an artificial intelligence mobile application for predicting 30-day mortality in critically ill patients with orthopaedic trauma. 105383 - Ayse Eminoglu
Assessment of the relationship between executive Nurses' leadership Self-Efficacy and medical artificial intelligence readiness. 105386
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