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.

Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning
This study aims to build a machine learning (ML) model to predict the recurrence probability for postoperative non-lactating mastitis (NLM) by Random Forest (RF) and XGBoost algorithms. It can provide the abil... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 22, 2024 Category: Information Technology Authors: Jiaye Sun, Shijun Shao, Hua Wan, Xueqing Wu, Jiamei Feng, Qingqian Gao, Wenchao Qu and Lu Xie Tags: Research Source Type: research

Autonomous fetal morphology scan: deep learning  + clustering merger – the second pair of eyes behind the doctor
The main cause of fetal death, of infant morbidity or mortality during childhood years is attributed to congenital anomalies. They can be detected through a fetal morphology scan. An experienced sonographer (w... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 19, 2024 Category: Information Technology Authors: Smaranda Belciug Tags: Research Source Type: research

Mapping of Alzheimer ’s disease related data elements and the NIH Common Data Elements
Alzheimer ’s Disease (AD) is a devastating disease that destroys memory and other cognitive functions. There has been an increasing research effort to prevent and treat AD. In the US, two major data sharing res... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 19, 2024 Category: Information Technology Authors: Xubing Hao, Rashmie Abeysinghe, Fengbo Zheng, Paul E. Schulz and Licong Cui Tags: Research Source Type: research

An insight into the use of telemedicine technology for cancer patients during the Covid-19 pandemic: a scoping review
This study aimed to investigate the use of telemedicine technology for cancer patients... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 19, 2024 Category: Information Technology Authors: Esmaeel Toni and Haleh Ayatollahi Tags: Research Source Type: research

Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application
The effective management of epilepsy in women of child-bearing age necessitates a concerted effort from multidisciplinary teams. Nevertheless, there exists an inadequacy in the seamless exchange of knowledge a... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 18, 2024 Category: Information Technology Authors: Yilin Xia, Yifei Duan, Leihao Sha, Wanlin Lai, Zhimeng Zhang, Jiaxin Hou and Lei Chen Tags: Research Source Type: research

Individuals ’ attitudes toward digital mental health apps and implications for adoption in Portugal: web-based survey
The literature is consensual regarding the academic community exhibiting higher levels of mental disorder prevalence than the general population. The potential of digital mental health apps for improving acces... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 18, 2024 Category: Information Technology Authors: Diogo Nogueira-Leite, Manuel Marques-Cruz and Ricardo Cruz-Correia Tags: Research Source Type: research

Text mining and portal development for gene-specific publications on Alzheimer ’s disease and other neurodegenerative diseases
Tremendous research efforts have been made in the Alzheimer ’s disease (AD) field to understand the disease etiology, progression and discover treatments for AD. Many mechanistic hypotheses, therapeutic targets... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 17, 2024 Category: Information Technology Authors: Jiannan Liu, Huanmei Wu, Daniel H. Robertson and Jie Zhang Tags: Research Source Type: research

Optimizing cardiovascular disease mortality prediction: a super learner approach in the tehran lipid and glucose study
Cardiovascular disease (CVD) is the most important cause of death in the world and has a potential impact on health care costs, this study aimed to evaluate the performance of machine learning survival models ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 16, 2024 Category: Information Technology Authors: Parvaneh Darabi, Safoora Gharibzadeh, Davood Khalili, Mehrdad Bagherpour-Kalo and Leila Janani Tags: Research Source Type: research

Identifying subgroups in heart failure patients with multimorbidity by clustering and network analysis
This study presents a workflow for identifying and characterizing patients with Heart Failure (HF) and multimorbidity utilizing data from Electronic Health Records. Multimorbidity, the co-occurrence of two or ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 15, 2024 Category: Information Technology Authors: Catarina Martins, Bernardo Neves, Andreia Sofia Teixeira, Miguel Froes, Pedro Sarmento, Jaime Machado, Carlos  A. Magalhães, Nuno A. Silva, Mário J. Silva and Francisca Leite Tags: Research Source Type: research

Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation
Inappropriate antimicrobial use, such as antibiotic intake in viral infections, incorrect dosing and incorrect dosing cycles, has been shown to be an important determinant of the emergence of antimicrobial res... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 15, 2024 Category: Information Technology Authors: Pinar Tokg öz, Stephan Krayter, Jessica Hafner and Christoph Dockweiler Tags: Research Source Type: research

Early prediction of sudden cardiac death risk with Nested LSTM based on electrocardiogram sequential features
Electrocardiogram (ECG) signals are very important for heart disease diagnosis. In this paper, a novel early prediction method based on Nested Long Short-Term Memory (Nested LSTM) is developed for sudden cardi... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 10, 2024 Category: Information Technology Authors: Ke Wang, Kai Zhang, Banteng Liu, Wei Chen and Meng Han Tags: Research Source Type: research

Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case
Proteomic-based analysis is used to identify biomarkers in blood samples and tissues. Data produced by devices such as mass spectrometry requires platforms to identify and quantify proteins (or peptides). Clin... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 8, 2024 Category: Information Technology Authors: Patrizia Vizza, Federica Aracri, Pietro Hiram Guzzi, Marco Gaspari, Pierangelo Veltri and Giuseppe Tradigo Tags: Research Source Type: research

Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer
Emerging from the convergence of digital twin technology and the metaverse, consumer health (MCH) is witnessing a transformative shift. The amalgamation of bioinformatics with healthcare Big Data has ushered i... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 5, 2024 Category: Information Technology Authors: Chaitanya Kulkarni, Aadam Quraishi, Mohan Raparthi, Mohammad Shabaz, Muhammad Attique Khan, Raj A. Varma, Ismail Keshta, Mukesh Soni and Haewon Byeon Tags: Research Source Type: research

Post-surgery survival and associated factors for cardiac patients in Ethiopia: applications of machine learning, semi-parametric and parametric modelling
Living in poverty, especially in low-income countries, are more affected by cardiovascular disease. Unlike the developed countries, it remains a significant cause of preventable heart disease in the Sub-Sahara... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 29, 2024 Category: Information Technology Authors: Melaku Tadege, Awoke Seyoum Tegegne and Zelalem G. Dessie Tags: Research Source Type: research

Correction: Developing an integrated clinical decision support system for the early identification and management of kidney disease —building cross-sectoral partnerships
(Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 28, 2024 Category: Information Technology Authors: Gillian Gorham, Asanga Abeyaratne, Sam Heard, Liz Moore, Pratish George, Paul Kamler, Sandawana William Majoni, Winnie Chen, Bhavya Balasubramanya, Mohammad Radwanur Talukder, Sophie Pascoe, Adam Whitehead, Cherian Sajiv, Louise Maple-Brown, Nadarajah Kan Tags: Correction Source Type: research