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Colm Brandon, Adam J. Doherty, Dervla Kelly, Desmond Leddin and Tiziana Margaria
Cancer misinformation is becoming an increasingly complex issue. When a person or a loved one receives a diagnosis of possible cancer, that person, family and friends will try to better inform themselves in this area of healthcare. Like most people, they...
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Maha Alnashmi, Ahmad Salman, Hanadi AlHumaidi, Maha Yunis and Naser Al-Enezi
After studying the professional practices related to the management of medical records in Kuwaiti hospitals, it became utterly evident that there is inadequate understanding about maintaining the health information of patients. This dire situation is fur...
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Yanyan Wang and Jin Zhang
New health-related concepts, terms, and topics emerge, and the meanings of existing terms and topics keep changing. This study investigated and explored the evolutions of the women?s health topic on Wikipedia. The creation time, page views data, page edi...
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Shah Miah,Jun Shen,John W Lamp,Don Kerr,John Gammack
This paper presents a contemporary literature review to provide insights into the current health informatics literature. The objective of this study is to identify emerging directions of current health informatics research from the latest and existing st...
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Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for...
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Kerdkiat Suvirat, Detphop Tanasanchonnakul, Sawrawit Chairat and Sitthichok Chaichulee
Medical coding plays an essential role in medical billing, health resource planning, clinical research and quality assessment. Automated coding systems offer promising solutions to streamline the coding process, improve accuracy and reduce the burden on ...
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Negar Orangi-Fard, Alireza Akhbardeh and Hersh Sagreiya
Predicting ICU readmission risk will help physicians make decisions regarding discharge. We used discharge summaries to predict ICU 30-day readmission risk using text mining and machine learning (ML) with data from the Medical Information Mart for Intens...
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Tanmay Basu, Simon Goldsworthy and Georgios V. Gkoutos
The objective of systematic reviews is to address a research question by summarizing relevant studies following a detailed, comprehensive, and transparent plan and search protocol to reduce bias. Systematic reviews are very useful in the biomedical and h...
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Jonathan Demelo and Kamran Sedig
In this paper, we investigate ontology-supported interfaces for health informatics search tasks involving large document sets. We begin by providing background on health informatics, machine learning, and ontologies. We review leading research on health ...
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Chamseddine Barki, Hanene Boussi Rahmouni and Salam Labidi
Predicting potential cancer treatment side effects at time of prescription could decrease potential health risks and achieve better patient satisfaction. This paper presents a new approach, founded on evidence-based medical knowledge, using as much infor...
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Diane Skiba and Michelle Honey
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Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri and Giuseppe Mangioni
The provision of wellness in workplaces gained interest in recent decades. A factor that contributes significantly to workers? health is their diet, especially when provided by canteen services. The assessment of such a service involves questions as food...
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João Luiz Ramalheira de Almeida, Max Naegeler Roecker, Vinícius Paes de Camargo, Heloise Manica Paris Teixeira, Renato Balancieri (Author)
Pág. e39483
This paper presents the development of the Alvar Architecture, which aims to manage learning materials (images, videos, and others medias) shared by professors and the health care team from the emergency unit of a University Hospital. The main objective ...
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Nadia Ghandour,Ahmad Ghandour
Personally Controlled Health Records (PCHR) are patient-centric tools which allow individuals to own, manage, access and share their health information online from anywhere, at any time. Patient-centric tools have received considerable interest and inves...
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Lars Kayser, Christian Nøhr, Pernille Bertelsen, Lars Botin, Sidsel Villumsen, Chris Showell and Paul Turner
Background: The WHO framework on integrated people-centred health services promotes a focus on the needs of people and their communities to empower them to have a more active role in their own health. It has advocated five strategies including: Engaging ...
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Lemai Nguyen,Nilmini Wickramasinghe
This paper reports on findings from an examination of a nursing information system through the lens of Activity Theory. The information system was designed to support real-time nursing documentation in acute care hospital contexts. The objective was to e...
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Dinithi Nallaperuma,Daswin De Silva
Increasing availability and access to health information has been a paradigm shift in healthcare provision as it empowers both patients and practitioners alike. Besides awareness, significant time savings and process efficiencies can be achieved through ...
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Daswin De Silva,Frada Burstein,Herbert F. Jelinek,Andrew Stranieri
The healthcare industry generates a high throughput of medical, clinical and omics data of varying complexity and features. Clinical decision-support is gaining widespread attention as medical institutions and governing bodies turn towards better managem...
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Maged N. Kamel Boulos, Abdulslam Yassine, Shervin Shirmohammadi, Chakkrit Snae Namahoot and Michael Brückner
Automated food and drink recognition methods connect to cloud-based lookup databases (e.g., food item barcodes, previously identified food images, or previously classified NIR (Near Infrared) spectra of food and drink items databases) to match and identi...
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Elarbi Badidi
Edge AI, an interdisciplinary technology that enables distributed intelligence with edge devices, is quickly becoming a critical component in early health prediction. Edge AI encompasses data analytics and artificial intelligence (AI) using machine learn...
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