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Barriers and facilitators of using health information technologies by women: a scoping review
Health information technologies play a vital role in addressing diverse health needs among women, offering a wide array of services tailored to their specific requirements. Despite the potential benefits, the ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 5, 2023 Category: Information Technology Authors: Khadijeh Moulaei, Reza Moulaei and Kambiz Bahaadinbeigy Tags: Research Source Type: research

Artificial intelligence for non-mass breast lesions detection and classification on ultrasound images: a comparative study
This retrospective study aims to validate the effectiveness of artificial intelligence (AI) to detect and classify non-mass breast lesions (NMLs) on ultrasound (US) images. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - September 4, 2023 Category: Information Technology Authors: Guoqiu Li, Hongtian Tian, Huaiyu Wu, Zhibin Huang, Keen Yang, Jian Li, Yuwei Luo, Siyuan Shi, Chen Cui, Jinfeng Xu and Fajin Dong Tags: Research Source Type: research

Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study
Chronic kidney disease (CKD) is a global public health concern. Therefore, to provide timely intervention for non-hospitalized high-risk patients and rationally allocate limited clinical resources is important... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 31, 2023 Category: Information Technology Authors: Yufei Lu, Yichun Ning, Yang Li, Bowen Zhu, Jian Zhang, Yan Yang, Weize Chen, Zhixin Yan, Annan Chen, Bo Shen, Yi Fang, Dong Wang, Nana Song and Xiaoqiang Ding Tags: Research Source Type: research

Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy
Anti-thrombotic therapy is the basis of thrombosis prevention and treatment. Bleeding is the main adverse event of anti-thrombosis. Existing laboratory indicators cannot accurately reflect the real-time coagul... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 31, 2023 Category: Information Technology Authors: Daonan Chen, Rui Wang, Yihan Jiang, Zijian Xing, Qiuyang Sheng, Xiaoqing Liu, Ruilan Wang, Hui Xie and Lina Zhao Tags: Research Source Type: research

The effect of capacity building evidence-based medicine training on its implementation among healthcare professionals in Southwest Ethiopia: a controlled quasi-experimental outcome evaluation
Evidence-based medicine (EBM) bridges research and clinical practice to enhance medical knowledge and improve patient care. However, clinical decisions in many African countries don ’t base on the best availabl... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 31, 2023 Category: Information Technology Authors: Habtamu Setegn Ngusie, Mohammadjud Hasen Ahmed, Shegaw Anagaw Mengiste, Mihretu M. Kebede, Shuayib Shemsu, Shuma Gosha Kanfie, Sisay Yitayih Kassie, Mulugeta Hayelom Kalayou and Monika Knudsen Gullslett Tags: Research Source Type: research

Updating mortality risk estimation in intensive care units from high-dimensional electronic health records with incomplete data
The risk of mortality in intensive care units (ICUs) is currently addressed by the implementation of scores using admission data. Their performances are satisfactory when complications occur early after admiss... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 30, 2023 Category: Information Technology Authors: Bertrand Bouvarel, Fabrice Carrat and Nathanael Lapidus Tags: Research Source Type: research

Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment
The COVID-19 patients in the convalescent stage noticeably have pulmonary diffusing capacity impairment (PDCI). The pulmonary diffusing capacity is a frequently-used indicator of the COVID-19 survivors ’ progno... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 29, 2023 Category: Information Technology Authors: Fu-qiang Ma, Cong He, Hao-ran Yang, Zuo-wei Hu, He-rong Mao, Cun-yu Fan, Yu Qi, Ji-xian Zhang and Bo Xu Tags: Research Source Type: research

Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study
Early identification of dementia is crucial for prompt intervention for high-risk individuals in the general population. External validation studies on prognostic models for dementia have highlighted the need ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 28, 2023 Category: Information Technology Authors: Emma L. Twait, Constanza L. Andaur Navarro, Vilmunur Gudnason, Yi-Han Hu, Lenore J. Launer and Mirjam I. Geerlings Tags: Research Source Type: research

Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach
Functional gastrointestinal disorders (FGIDs), as a group of syndromes with no identified structural or pathophysiological biomarkers, are currently classified by Rome criteria based on gastrointestinal sympto... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 26, 2023 Category: Information Technology Authors: Elahe Mousavi, Ammar Hasanzadeh Keshteli, Mohammadreza Sehhati, Ahmad Vaez and Peyman Adibi Tags: Research Source Type: research

Anomaly prediction of CT equipment based on IoMT data
Large-scale medical equipment, which is extensively implemented in medical services, is of vital importance for diagnosis but vulnerable to various anomalies and failures. Most hospitals that conduct regular m... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 25, 2023 Category: Information Technology Authors: Changxi Wang, Qilin Liu, Haopeng Zhou, Tong Wu, Haowen Liu, Jin Huang, Yixuan Zhuo, Zhenlin Li and Kang Li Tags: Research Source Type: research

Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarction
This study ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 24, 2023 Category: Information Technology Authors: Xuewen Li, Chengming Shang, Changyan Xu, Yiting Wang, Jiancheng Xu and Qi Zhou Tags: Research Source Type: research

Implementing shared decision-making interventions in breast cancer clinical practice: a scoping review
Shared decision-making (SDM) is a collaborative process whereby patients and clinicians jointly deliberate on the best treatment option that takes into account patients ’ preferences and values. In breast cance... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 23, 2023 Category: Information Technology Authors: Natalia Oprea, Vittoria Ardito and Oriana Ciani Tags: Research Source Type: research

Shared decision making for anticoagulation reduces anxiety and improves adherence in patients with atrial fibrillation
This study aimed to investi... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 22, 2023 Category: Information Technology Authors: Hsiao-Hui Chiu, Shih-Lin Chang, Hao-Min Cheng, Tze-Fan Chao, Yenn-Jiang Lin, Li-Wei Lo, Yu-Feng Hu, Fa-Po Chung, Jo-Nan Liao, Ta-Chuan Tuan, Chin-Yu Lin, Ting-Yung Chang, Ling Kuo, Chih-Min Liu, Yung-Nan Tsai, Yu-Ting Huang & hellip; Tags: Research Source Type: research

The quality of German - language patient decision aids for oncological patients on the internet
Previous studies have already shown that decision aids are a suitable tool for patient decision-making. The aim of this work is to conduct an online search for freely available, German-language patient decisio... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 18, 2023 Category: Information Technology Authors: Julia M öller, Lena Josfeld, Christian Keinki, Nathalie Zieglowski, Jens Büntzel and Jutta Hübner Tags: Research Source Type: research

DEVO: an ontology to assist with dermoscopic feature standardization
The utilization of dermoscopic analysis is becoming increasingly critical for diagnosing skin diseases by physicians and even artificial intelligence. With the expansion of dermoscopy, its vocabulary has proli... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 18, 2023 Category: Information Technology Authors: Xinyuan Zhang, Rebecca Z. Lin, Muhammad “Tuan” Amith, Cynthia Wang, Jeremy Light, John Strickley and Cui Tao Tags: Research Source Type: research