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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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Lisa Ariellah Ward, Gulzar H. Shah, Jeffery A. Jones, Linda Kimsey and Hani Samawi
This paper examines the efficacy of telemedicine (TM) technology compared to traditional face-to-face (F2F) visits as an alternative healthcare delivery service for managing diabetes in populations residing in urban medically underserved areas (UMUPAs). ...
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Changwon Yoo, Efrain Gonzalez, Zhenghua Gong and Deodutta Roy
Every year, biomedical data is increasing at an alarming rate and is being collected from many different sources, such as hospitals (clinical Big Data), laboratories (genomic and proteomic Big Data), and the internet (online Big Data). This article prese...
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Mudassir M. Rashid, Mohammad Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu and Ali Cinar
Artificial intelligence (AI) algorithms can provide actionable insights for clinical decision-making and managing chronic diseases. The treatment and management of complex chronic diseases, such as diabetes, stands to benefit from novel AI algorithms ana...
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Deepika Verma, Kerstin Bach and Paul Jarle Mork
The field of patient-centred healthcare has, during recent years, adopted machine learning and data science techniques to support clinical decision making and improve patient outcomes. We conduct a literature review with the aim of summarising the existi...
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Mustafa Ozkaynak, Christina M. Sircar, Olivia Frye and Rupa S. Valdez
Background: Design workshops offer effective methods in eliciting end-user participation from design inception to completion. Workshops unite stakeholders in the utilization of participatory methods, coalescing in the best possible creative solutions. Ob...
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Terrence C. Lee, Neil U. Shah, Alyssa Haack and Sally L. Baxter
Predictive analytics using electronic health record (EHR) data have rapidly advanced over the last decade. While model performance metrics have improved considerably, best practices for implementing predictive models into clinical settings for point-of-c...
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P. K. Paul,A. Bhuimali,M. Ghose,Poovammal. E.
Pág. 117 - 125
Health Information System or Medical Information Systems is an important and valuable concept which is mainly dedicated to the Health related issues and solutions. The Health Information System is combines with the management and also economical aspects ...
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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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