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Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma
Patients with renal cell carcinoma (RCC) have an elevated risk of chronic kidney disease (CKD) following nephrectomy. Therefore, continuous monitoring and subsequent interventions are necessary. It is recommen... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 22, 2024 Category: Information Technology Authors: Seol Whan Oh, Seok-Soo Byun, Jung Kwon Kim, Chang Wook Jeong, Cheol Kwak, Eu Chang Hwang, Seok Ho Kang, Jinsoo Chung, Yong-June Kim, Yun-Sok Ha and Sung-Hoo Hong Tags: Research Source Type: research

Multimodal deep learning-based diagnostic model for BPPV
Benign paroxysmal positional vertigo (BPPV) is a prevalent form of vertigo that necessitates a skilled physician to diagnose by observing the nystagmus and vertigo resulting from specific changes in the patien... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 21, 2024 Category: Information Technology Authors: Hang Lu, Yuxing Mao, Jinsen Li and Lin Zhu Tags: Research Source Type: research

An Effective Methodology for Scoring to Assist Emergency Physicians in Identifying Overcrowding in an Academic Emergency Department in Thailand
Emergency Department (ED) overcrowding is a global concern, with tools like NEDOCS, READI, and Work Score used as predictors. These tools aid healthcare professionals in identifying overcrowding and preventing... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 21, 2024 Category: Information Technology Authors: Sukumpat Na Nan, Borwon Wittayachamnankul, Wachira Wongtanasarasin, Theerapon Tangsuwanaruk, Krongkarn Sutham and Orawit Thinnukool Tags: Research Source Type: research

Development and validation of a nomogram for predicting in-hospital mortality in ICU patients with infective endocarditis
The objective of the present investigation was to develop and validate a nomogram that precisely anticipates in-hospital mortality in I... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 21, 2024 Category: Information Technology Authors: Dongyang Che, Jinlin Hu, Jialiang Zhu, Jun Lyu and Xiaoshen Zhang Tags: Research Source Type: research

Development of a communication platform for patients with head and neck cancer for effective information delivery and improvement of doctor –patient relationship: application of treatment journey-based service blueprint
Effective communication and information delivery enhance doctor –patient relationships, improves adherence to treatment, reduces work burden, and supports decision-making. The study developed a head and neck ca... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 20, 2024 Category: Information Technology Authors: Yoo-Ri Koo, Eun-Jeong Kim and Inn-Chul Nam Tags: Research Source Type: research

Development of a new computer simulated environment to screen cognition: assessing the feasibility and acceptability of Leaf Caf é in younger and older adults
Existing traditional cognitive screening tools for dementia have various limitations, including overreliance on tests assessing verbal memory and, to a lesser extent, on some aspects of executive functioning. ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 19, 2024 Category: Information Technology Authors: Joyce Siette, Jonathan Guion, Kiran Ijaz, Paul Strutt, Meredith Porte, Greg Savage and Deborah Richards Tags: Research Source Type: research

Ensemble-imbalance-based classification for amyotrophic lateral sclerosis prognostic prediction: identifying short-survival patients at diagnosis
In this study, we have developed and... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 19, 2024 Category: Information Technology Authors: Fabiano Papaiz, Mario Em ílio Teixeira Dourado Jr., Ricardo Alexsandro de Medeiros Valentim, Rafael Pinto, Antônio Higor Freire de Morais and Joel Perdiz Arrais Tags: Research Source Type: research

An automated ICU agitation monitoring system for video streaming using deep learning classification
To address the challenge of assessing sedation status in critically ill patients in the intensive care unit (ICU), we aimed to develop a non-contact automatic classifier of agitation using artificial intellige... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 18, 2024 Category: Information Technology Authors: Pei-Yu Dai, Yu-Cheng Wu, Ruey-Kai Sheu, Chieh-Liang Wu, Shu-Fang Liu, Pei-Yi Lin, Wei-Lin Cheng, Guan-Yin Lin, Huang-Chien Chung and Lun-Chi Chen Tags: Research Source Type: research

Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach
This study aimed to: 1) investigate women ’s beliefs and knowledge (i.e., mental models) rega... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 18, 2024 Category: Information Technology Authors: Inge S. van Strien-Knippenberg, Hannah Arjangi-Babetti, Danielle R. M. Timmermans, Laura Schrauwen, Mirjam P. Fransen, Marijke Melles and Olga C. Damman Tags: Research Source Type: research

Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences
Telemedicine has experienced rapid growth in recent years, aiming to enhance medical efficiency and reduce the workload of healthcare professionals. During the COVID-19 pandemic in 2019, it became especially c... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 14, 2024 Category: Information Technology Authors: Yong Liu, Shenggen Ju and Junfeng Wang Tags: Research Source Type: research

SurvInt: a simple tool to obtain precise parametric survival extrapolations
Economic evaluation of emerging health technologies is mandated by agencies such as the National Institute for Health and Care Excellence (NICE) to ensure their cost is proportional to their benefit. To avoid ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 14, 2024 Category: Information Technology Authors: Daniel Gallacher Tags: Software Source Type: research

Deep learning of movement behavior profiles and their association with markers of cardiometabolic health
Traditionally, existing studies assessing the health associations of accelerometer-measured movement behaviors have been performed with few averaged values, mainly representing the duration of physical activit... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 13, 2024 Category: Information Technology Authors: Vahid Farrahi, Paul J Collings and Mourad Oussalah Tags: Research Source Type: research

Implementation difficulties and solutions for a smart-clothes assisted home nursing care program for older adults with dementia or recovering from hip fracture
Wearable devices have the advantage of always being with individuals, enabling easy detection of their movements. Smart clothing can provide feedback to family caregivers of older adults with disabilities who ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 12, 2024 Category: Information Technology Authors: Chung-Chih Lin, Ching-Tzu Yang, Pei-Ling Su, Jung-Ling Hsu, Yea-Ing L. Shyu and Wen-Chuin Hsu Tags: Research Source Type: research

Assessing the research landscape and clinical utility of large language models: a scoping review
Large language models (LLMs) like OpenAI ’s ChatGPT are powerful generative systems that rapidly synthesize natural language responses. Research on LLMs has revealed their potential and pitfalls, especially in ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 12, 2024 Category: Information Technology Authors: Ye-Jean Park, Abhinav Pillai, Jiawen Deng, Eddie Guo, Mehul Gupta, Mike Paget and Christopher Naugler Tags: Research Source Type: research

KGSCS —a smart care system for elderly with geriatric chronic diseases: a knowledge graph approach
The increasing aging population has led to a shortage of geriatric chronic disease caregiver, resulting in inadequate care for elderly people. In this global context, many older people rely on nonprofessional ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - March 12, 2024 Category: Information Technology Authors: Aihua Li, Che Han, Xinzhu Xing, Qinyan Wei, Yuxue Chi and Fan Pu Tags: Research Source Type: research