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Qiuyue Li, Hao Sheng, Mingxue Sheng and Honglin Wan
Efficient document recognition and sharing remain challenges in the healthcare, insurance, and finance sectors. One solution to this problem has been the use of deep learning techniques to automatically extract structured information from paper documents...
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S. Velliangiri, P. Karthikeyan, Vinayakumar Ravi, Meshari Almeshari and Yasser Alzamil
Medical service providers generate many healthcare records containing sensitive and private information about a patient?s health. The patient can allow healthcare service providers to generate healthcare data, which can be stored with healthcare service ...
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Bowen Liu and Malwane M. A. Ananda
It is observed that, for some of the data in engineering and medical fields, the hazard rates increase to a high peak at the beginning and quickly decrease to a low level. In the context of survival analysis, such a hazard rate is called a upside-down ba...
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Nisrine Berros, Fatna El Mendili, Youness Filaly and Younes El Bouzekri El Idrissi
Medicine is constantly generating new imaging data, including data from basic research, clinical research, and epidemiology, from health administration and insurance organizations, public health services, and non-conventional data sources such as social ...
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Sangjee Park, Jun-Woo Bong, Inseo Park, Hwamin Lee, Jiyoun Choi, Pyoungjae Park, Yoon Kim, Hyun-Soo Choi and Sanghee Kang
This operative report documents the details of a surgery. Standardization of the medical terminology for the operative report written in free text is significant for performing medical research and establishing insurance systems by accurately sharing inf...
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Quynh C. Nguyen, Tom Belnap, Pallavi Dwivedi, Amir Hossein Nazem Deligani, Abhinav Kumar, Dapeng Li, Ross Whitaker, Jessica Keralis, Heran Mane, Xiaohe Yue, Thu T. Nguyen, Tolga Tasdizen and Kim D. Brunisholz
Collecting neighborhood data can both be time- and resource-intensive, especially across broad geographies. In this study, we leveraged 1.4 million publicly available Google Street View (GSV) images from Utah to construct indicators of the neighborhood b...
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Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Kateryna Melnykova and Khrystyna Lishchuk-Yakymovych
The paper describes the medical data personalization problem by determining the individual characteristics needed to predict the number of days a patient spends in a hospital. The mathematical problem of patient information analysis is formalized, which ...
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Hyon Hee Kim, Young Seo Lim, Seung-In Seo, Kyung Joo Lee, Jae Young Kim and Woon Geon Shin
Gastric cancer is the fifth most common cancer type worldwide and one of the most frequently diagnosed cancers in South Korea. In this study, we propose DeepPrevention, which comprises a prediction module to predict the possibility of progression from at...
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Qi Liu, Jin Liu and Shuntian Sui
China?s rural older are the threat from chronic diseases, making it important to evaluate the effect of public health insurance on the health care utilization and expenditures with chronic diseases. In 2003, China initiated a public health insurance, whi...
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Zeenat Kotval-K, Linda Keilman and Weijing Wang
This study examines the impact of the provision of specialized transportation services for older adults on the attainment of preventive healthcare services in selected cities across Michigan. The main hypothesis is that transportation services are critic...
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