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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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Moon-Il Joo, Dong-Yoon Kang, Min-Soo Kang and Hee-Cheol Kim
Edge computing can provide core functions such as data collection and analysis without connecting to a centralized server. The convergence of edge computing and IoT devices has enabled medical institutions to collect patient data in real time, improving ...
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David Ojimaojo Ebiloma, Clinton Ohis Aigbavboa and Chimay Anumba
The COVID-19 pandemic that recently broke forth revealed the waning state of a considerable number of healthcare facilities, especially in unindustrialized territories. This is of great concern, and it has become pertinent to identify determinants of eff...
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Giuseppe Cesarelli, Rita Petrelli, Sarah Adamo, Orjela Monce, Carlo Ricciardi, Emanuele Cristallo, Maria Ruccia and Mario Cesarelli
Among the issues on which health directions focus, fall risk is one of major importance since it affects patients hospitalized in both acute and rehabilitative hospitals. In this context, few publications have proposed a managerial approach aimed at (a) ...
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Ahmad Taha, Basel Barakat, Mohammad M. A. Taha, Mahmoud A. Shawky, Chun Sing Lai, Sajjad Hussain, Muhammad Zainul Abideen and Qammer H. Abbasi
Accurately looking into the future was a significantly major challenge prior to the era of big data, but with rapid advancements in the Internet of Things (IoT), Artificial Intelligence (AI), and the data availability around us, this has become relativel...
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Kanza Gulzar, Muhammad Ayoob Memon, Syed Muhammad Mohsin, Sheraz Aslam, Syed Muhammad Abrar Akber and Muhammad Asghar Nadeem
In the public health sector and the field of medicine, the popularity of data mining and its usage in knowledge discovery and databases (KDD) are rising. The growing popularity of data mining has discovered innovative healthcare links to support decision...
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Ni Nyoman Sunariani, Universitas Pendidikan Nasional, Indonesia I Made Suidarma, Universitas Pendidikan Nasional, Indonesia 10.21831/economia.v19i1.36230
Pág. 38 - 54
This study aims to analyze the health service management of provincial hospitals (RSUDs) in Bali from the perspective of local wisdom, especially Tri Kaya Parisuda values and the integration of Tri Kaya Parisuda values with human capital theory (HCT). St...
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Ali Azadi and Francisco José García-Peñalvo
Nowadays, according to the intention of many hospitals and medical centers to computerize their processes and medical treatments, including data forms and medical images, which are generating a considerable amount of data, IT specialists and data scienti...
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Silvano Cortesi, Christian Vogt and Michele Magno
IPS is a crucial technology that enables medical staff and hospital management to accurately locate and track persons or assets inside medical buildings. Among other technologies, readily available BLE can be exploited to achieve an energy-efficient and ...
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Ulises Manuel Ramirez-Alcocer, Edgar Tello-Leal, Gerardo Romero and Bárbara A. Macías-Hernández
In this paper, we propose a deep learning-based approach to predict the next event in hospital organizational process models following the guidance of predictive process mining. This method provides value for the planning and allocating of resources sinc...
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