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ORCIDInternational Journal of Medical Informatics, Volume 154
Volume 154, October 2021
- Sheree Lloyd
, Karrie Long, Abraham Oshni Alvandi, Josie Di Donato, Yasmine C. Probst, Jeremy Roach, Christopher Bain:
A National Survey of EMR Usability: Comparisons between medical and nursing professions in the hospital and primary care sectors in Australia and Finland. 104535
- Hyunah Shin, Nanyeong Kim, Jaehun Cha, Grace Juyun Kim, Ju Han Kim, Jong-Yeup Kim, Suehyun Lee:
Geriatrics on beers criteria medications at risk of adverse drug events using real-world data. 104542 - Jan Florin, Elisabeth Strandberg, Inger Jansson, Anna Ehrenberg, Catrin Björvell:
A comparison between the ICNP and the ICF for expressing nursing content in the electronic health record. 104544 - Mudan Zhang, Xianchun Zeng, Chencui Huang, Jun Liu, Xinfeng Liu, Xingzhi Xie, Rongpin Wang:
An AI-based radiomics nomogram for disease prognosis in patients with COVID-19 pneumonia using initial CT images and clinical indicators. 104545 - Maria Ehn, Mattias Derneborg, Åsa Revenäs, Antonio Cicchetti:
User-centered requirements engineering to manage the fuzzy front-end of open innovation in e-health: A study on support systems for seniors' physical activity. 104547 - Charlotte Quintens, Lorenz Van der Linden, Kaat Meeusen, Egon Nijns, Rik Willems, Isabel Spriet:
Development and validation of a Screening Tool to Evaluate and Warrant Anticoagulation Treatment prior to Discharge in inpatients with Atrial Fibrillation (STEWARxD-AF). 104555 - Maleeha Naseem, Hajra Arshad, Syeda Amrah Hashmi, Furqan Irfan, Fahad Shabbir Ahmed:
Predicting mortality in SARS-COV-2 (COVID-19) positive patients in the inpatient setting using a novel deep neural network. 104556
- John Adeoye, Jia Yan Tan, Siu-Wai Choi, Peter Thomson:
Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review. 104557 - Chen Liang, Shan Qiao, Bankole Olatosi, Tianchu Lyu, Xiaoming Li:
Emergence and evolution of big data science in HIV research: Bibliometric analysis of federally sponsored studies 2000-2019. 104558
- Tsung-Ting Kuo, Tyler Bath, Shuaicheng Ma, Nicholas D. Pattengale, Meng Yang, Yang Cao, Corey M. Hudson, Jihoon Kim, Kai W. Post, Li Xiong, Lucila Ohno-Machado:
Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track. 104559 - Theodore C. Feldman, Jules L. Dienstag, Kenneth D. Mandl, Yi-Ju Tseng:
Machine-learning-based predictions of direct-acting antiviral therapy duration for patients with hepatitis C. 104562 - Poolakkad S. Satheeshkumar, Mohammed El-Dallal, Minu P. Mohan:
Feature selection and predicting chemotherapy-induced ulcerative mucositis using machine learning methods. 104563
- Philippe Westerlinck, Philippe Coucke:
Review of interactive digital solutions improving health literacy of personal cancer risks in the general public. 104564
- Abdullah H. Alzeer, Abdullah Althemery, Fahad Alsaawi, Marwan Albalawi, Abdulaziz Alharbi, Somayah J. Alzahrani, Deema Alabdulaali, Raghad Alabdullatif, Adel Tash:
Using machine learning to reduce unnecessary rehospitalization of cardiovascular patients in Saudi Arabia. 104565 - David P. Rofaiel, Paul Hession, Gerard Flaherty:
Analysis of web-based travel health advice provided to international travellers with chronic medical and psychiatric illnesses. 104566 - Diana Barsasella, Srishti Gupta, Shwetambara Malwade, Aminin, Yanti Susanti, Budi Tirmadi, Agus Mutamakin, Jitendra Jonnagaddala, Shabbir Syed-Abdul:
Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension. 104569
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