BMC Medical Informatics and Decision Making This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Determining the content and needs assessment a mobile-based self-care program in infertile men
This study aimed to determine the Necessity of self-care training content... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 13, 2023 Category: Information Technology Authors: Azadeh Nadjarzadeh, Alireza Fallahzadeh, Arezoo Abasi, Mohammad Mehdi Poornematy, Hamid Reza Farahzadi and Seyed Ali Fatemi Aghda Tags: Research Source Type: research

Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization
In France an average of 4% of hospitalized patients die during their hospital stay. To aid medical decision making and the attribution of resources, within a few days of admission the identification of patient... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 13, 2023 Category: Information Technology Authors: Daniel Stoessel, Rui Fa, Svetlana Artemova, Ursula von Schenck, Hadiseh Nowparast  Rostami, Pierre-Ephrem Madiot, Caroline Landelle, Fréderic Olive, Alison Foote, Alexandre Moreau-Gaudry and Jean-Luc Bosson Tags: Research Source Type: research

Machine learning-based risk models for procedural complications of radiofrequency ablation for atrial fibrillation
This study aimed to develop and validate risk models for predicting complications after radiofrequency abl... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 10, 2023 Category: Information Technology Authors: Rong Li, Lan Shen, Wenyan Ma, Linfeng Li, Bo Yan, Yuna Wei, Yao Wang, Changqing Pan and Junyi Yuan Tags: Research Source Type: research

Predicting multiple sclerosis severity with multimodal deep neural networks
Multiple Sclerosis (MS) is a chronic disease developed in the human brain and spinal cord, which can cause permanent damage or deterioration of the nerves. The severity of MS disease is monitored by the Expand... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 9, 2023 Category: Information Technology Authors: Kai Zhang, John A. Lincoln, Xiaoqian Jiang, Elmer V. Bernstam and Shayan Shams Tags: Research Source Type: research

The consequences of data dispersion in genomics: a comparative analysis of data sources for precision medicine
Genomics-based clinical diagnosis has emerged as a novel medical approach to improve diagnosis and treatment. However, advances in sequencing techniques have increased the generation of genomics data dramatica... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 9, 2023 Category: Information Technology Authors: Mireia Costa, Alberto Garc ía S. and Oscar Pastor Tags: Research Source Type: research

Defining the content of a website on advance care planning in dementia: a focus group study with family and health professionals
Advance care planning (ACP) is a process that enables individuals to define goals and preferences for their future care. It is particularly relevant for people with dementia and their family. Interactive tools... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 8, 2023 Category: Information Technology Authors: Charl èss Dupont, Tinne Smets, Fanny Monnet, Lara Pivodic, Aline De Vleminck, Chantal Van Audenhove and Lieve Van den Block Tags: Research Source Type: research

Associations of perceived changes in work due to digitalization and the amount of digital work with job strain among physicians: a national representative sample
We examined associations of perceived changes in work due... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 8, 2023 Category: Information Technology Authors: Lotta Virtanen, Anu-Marja Kaihlanen, Petra Saukkonen, Jarmo Reponen, Tinja L ääveri, Tuulikki Vehko, Peppiina Saastamoinen, Johanna Viitanen and Tarja Heponiemi Tags: Research Source Type: research

A model to forecast the two-year variation of subjective wellbeing in the elderly population
In this study, our aim was to investigate the potential for develo... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 8, 2023 Category: Information Technology Authors: Isotta Trescato, Chiara Roversi, Martina Vettoretti, Barbara Di  Camillo and Andrea Facchinetti Tags: Research Source Type: research

A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images
Using two three-dimensional U-Net architectures for myocardium structure extraction and a distance transformation algorithm specifically for the left circumflex artery, we have designed a fully automated algor... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 6, 2023 Category: Information Technology Authors: Pengling Ren, Yi He, Ning Guo, Nan Luo, Fang Li, Zhenchang Wang and Zhenghan Yang Tags: Research Source Type: research

Assessment of a venous thromboembolism prophylaxis shared decision-making intervention (DASH-TOP) using the decisional conflict scale: a mixed-method study
Venous thromboembolism (VTE) in pregnancy is a major cause of maternal morbidity and death. The use of low-molecular-weight heparin (LMWH), despite being the standard of care to prevent VTE, comes with some ch... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 6, 2023 Category: Information Technology Authors: Montserrat Le ón‑García, Brittany Humphries, Pablo Roca Morales, Derek Gravholt, Mark H. Eckman, Shannon M. Bates, Nataly R. Espinoza Suárez, Feng Xie, Lilisbeth Perestelo‑Pérez and Pablo Alonso‑Coello Tags: Research Source Type: research

Extracting laboratory test information from paper-based reports
In the healthcare domain today, despite the substantial adoption of electronic health information systems, a significant proportion of medical reports still exist in paper-based formats. As a result, there is ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 6, 2023 Category: Information Technology Authors: Ming-Wei Ma, Xian-Shu Gao, Ze-Yu Zhang, Shi-Yu Shang, Ling Jin, Pei-Lin Liu, Feng Lv, Wei Ni, Yu-Chen Han and Hui Zong Tags: Research Source Type: research

Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines
Clinical practice guidelines (CPGs) are designed to assist doctors in clinical decision making. High-quality research articles are important for the development of good CPGs. Commonly used manual screening pro... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 3, 2023 Category: Information Technology Authors: Yucong Lin, Jia Li, Huan Xiao, Lujie Zheng, Ying Xiao, Hong Song, Jingfan Fan, Deqiang Xiao, Danni Ai, Tianyu Fu, Feifei Wang, Han Lv and Jian Yang Tags: Research Source Type: research

Smartwatches in healthcare medicine: assistance and monitoring; a scoping review
Smartwatches have become increasingly popular in recent times because of their capacity to track different health indicators, including heart rate, patterns of sleep, and physical movements. This scoping revie... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 3, 2023 Category: Information Technology Authors: Mohsen Masoumian Hosseini, Seyedeh Toktam Masoumian Hosseini, Karim Qayumi, Shahriar Hosseinzadeh and Seyedeh Saba Sajadi Tabar Tags: Research Source Type: research

In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study
Falls are one of the most common accidents in medical institutions, which can threaten the safety of inpatients and negatively affect their prognosis. Herein, we developed a machine learning (ML) model for fal... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - November 1, 2023 Category: Information Technology Authors: Jun Hwa Choi, Eun Suk Choi and Dougho Park Tags: Research Source Type: research

The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients
Diabetic kidney disease (DKD) has become the largest cause of end-stage kidney disease. Early and accurate detection of DKD is beneficial for patients. The present detection depends on the measurement of album... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 30, 2023 Category: Information Technology Authors: Shaomin Shi, Ling Gao, Juan Zhang, Baifang Zhang, Jing Xiao, Wan Xu, Yuan Tian, Lihua Ni and Xiaoyan Wu Tags: Research Source Type: research