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From algorithms to action: improving patient care requires causality
In cancer research there is much interest in building and validating outcome prediction models to support treatment decisions. However, because most outcome prediction models are developed and validated withou... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 26, 2024 Category: Information Technology Authors: Wouter A. C. van Amsterdam, Pim A. de Jong, Joost J. C. Verhoeff, Tim Leiner and Rajesh Ranganath Tags: Comment Source Type: research

Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study
Mobile health (mHealth) may be an ideal solution for breast cancer (BC) patients in China to access weight management interventions. User retention and engagement are the main challenges faced by mHealth appli... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 25, 2024 Category: Information Technology Authors: Xinyu Li, Nan Zhang, Juan Yang, Zhaohui Geng, Jie Zhou and Jinyu Zhang Tags: Research Source Type: research

INNBC DApp, a decentralized application to permanently store biomedical data on a modern, proof-of-stake (POS), blockchain such as BNB Smart Chain
A blockchain can be described as a distributed ledger database where, under a consensus mechanism, data are permanently stored in records, called blocks, linked together with cryptography. Each block contains ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 25, 2024 Category: Information Technology Authors: Jonathan Fior Tags: Software Source Type: research

Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning
This study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus (PLHIV) with the help of machine learning (ML) per electronic medical recor... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 25, 2024 Category: Information Technology Authors: Zengjing Liu, Zhihao Meng, Di Wei, Yuan Qin, Yu Lv, Luman Xie, Hong Qiu, Bo Xie, Lanxiang Li, Xihua Wei, Die Zhang, Boying Liang, Wen Li, Shanfang Qin, Tengyue Yan, Qiuxia Meng & hellip; Tags: Research Source Type: research

A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals
This study aims to propose a semi-automatic method for monitoring the waiting times of follow-up examinations within the National Health System (NHS) in Italy, which is currently not possible to due the absenc... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 23, 2024 Category: Information Technology Authors: Vittorio Torri, Michele Ercolanoni, Francesco Bortolan, Olivia Leoni and Francesca Ieva Tags: Research Source Type: research

An ensemble model for predicting dispositions of emergency department patients
The healthcare challenge driven by an aging population and rising demand is one of the most pressing issues leading to emergency department (ED) overcrowding. An emerging solution lies in machine learning ’s po... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - April 22, 2024 Category: Information Technology Authors: Kuang-Ming Kuo, Yih-Lon Lin, Chao Sheng Chang and Tin Ju Kuo Tags: Research Source Type: research

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