• Title/Summary/Keyword: Health Platform

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Research Trend Analysis on Smart healthcare by using Topic Modeling and Ego Network Analysis (토픽모델링과 에고 네트워크 분석을 활용한 스마트 헬스케어 연구동향 분석)

  • Yoon, Jee-Eun;Suh, Chang-Jin
    • Journal of Digital Contents Society
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    • v.19 no.5
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    • pp.981-993
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    • 2018
  • Smart healthcare is convergence of ICT and healthcare services, and interdisciplinary research has been actively conducted in various fields. The objective of this study is to investigate trends of smart healthcare research using topic modeling and ego network analysis. Text analysis, frequency analysis, topic modeling, word cloud, and ego network analysis were conducted for the abstracts of 2,690 articles in Scopus from 2001 to April 2018. Topic Modeling analysis resulted in eight topics, Topics included "AI in healthcare", "Smart hospital", "Healthcare platform", "Blockchain in healthcare", "Smart health data", "Mobile healthcare", " Wellness care", "Cognitive healthcare". In order to examine the topic modeling results core deeply, we analyzed word cloud and ego network analysis for eight topics. This study aims to identify trends in smart healthcare research and suggest implications for establishing future research direction.

Particulate Behavior in Subway Airspace

  • Sohn, Jong-Ryeul;Kim, Jo-Chun;Kim, Min-Young;Son, Youn-Suk;Sunwoo, Young
    • Asian Journal of Atmospheric Environment
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    • v.2 no.1
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    • pp.54-59
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    • 2008
  • The most pivotal approach to improve subway indoor air quality (IAQ) is to examine the emission sources and particulate behavior. Therefore, the main objective of this study is to investigate the particulate behavior in the subway. In order to examine IAQ in the subway, a sampling and measurement campaign was carried out for 35 sites during the summer and winter seasons from May, 2005 to February, 2006. In case of 24 hour measurement, the mean concentrations ($PM_{10}$-24 hr) of platform and waiting room were $156.18{\pm}53.79{\mu}g/m^3$ and $111.00{\pm}53.31{\mu}g/ m^3$. Besides, as a result of 20 hour measurement, the mean concentrations ($PM_{10}$-20 hr) of platform and waiting room were $146.09{\pm}53.71{\mu}g/m^3$ and $99.08{\pm}42.77{\mu}g/m^3$, respectively. In general, $PM_{10}$-24 hr was higher than $PM_{10}$-20 hr, and both PM concentrations showed a high correlation coefficient (r=0.803). It was found that the $PM_{2.5}$ concentration ($l09.56{\pm}28.24{\mu}g/m^3$) in winter was higher than that ($83.66{\pm}57.82{\mu}g/m^3$) in summer.

Telemedicine System for Korean Beef Cattle Converging Livestock Farming Practices & ICT (축산분야와 ICT 융합을 통한 한우 원격진료방안)

  • Koo, Jee-Hee;Lee, Sang-Rak
    • Journal of Digital Convergence
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    • v.14 no.12
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    • pp.217-224
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    • 2016
  • As livestock diseases such as foot-and-mouth disease are highly infectious and likely to inflict nationwide damage, it is important to detect such diseases in advance. Infection of foot-and-mouth disease is determined in the field through examination of external symptoms such as rise in body temperature. However, as the disease is carried around initially by travelling veterinarians in some cases, it is critical to measure the body temperature of livestock to detect abnormal temperature pattern early on and transmit temperature reading data remotely to a veterinarian remotely to expedite decision. In this study, we have developed a telemedicine system designed to connect veterinarians and livestock farmers and measure the body temperature of Korean beef cattle with IR sensor module linked to ubiquitous ICT platform as a solution for controlling health conditions of Korean beef cattle and improving the efficiency of livestock farming operations at individual farm, regional, and national level by converging ubiquitous ICT platform and livestock farming practices. Successfully employing the state-of-the-art IT technologies of Korea, the system proposed herein is expected to make Korea's livestock farming industry more sustainable and help the nation to secure technological preeminence in the global livestock products market.

Artificial Intelligence Technology Trends and IBM Watson References in the Medical Field (인공지능 왓슨 기술과 보건의료의 적용)

  • Lee, Kang Yoon;Kim, Junhewk
    • Korean Medical Education Review
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    • v.18 no.2
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    • pp.51-57
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    • 2016
  • This literature review explores artificial intelligence (AI) technology trends and IBM Watson health and medical references. This study explains how healthcare will be changed by the evolution of AI technology, and also summarizes key technologies in AI, specifically the technology of IBM Watson. We look at this issue from the perspective of 'information overload,' in that medical literature doubles every three years, with approximately 700,000 new scientific articles being published every year, in addition to the explosion of patient data. Estimates are also forecasting a shortage of oncologists, with the demand expected to grow by 42%. Due to this projected shortage, physicians won't likely be able to explore the best treatment options for patients in clinical trials. This issue can be addressed by the AI Watson motivation to solve healthcare industry issues. In addition, the Watson Oncology solution is reviewed from the end user interface point of view. This study also investigates global company platform business to explain how AI and machine learning technology are expanding in the market with use cases. It emphasizes ecosystem partner business models that can support startup and venture businesses including healthcare models. Finally, we identify a need for healthcare company partnerships to be reviewed from the aspect of solution transformation. AI and Watson will change a lot in the healthcare business. This study addresses what we need to prepare for AI, Cognitive Era those are understanding of AI innovation, Cloud Platform business, the importance of data sets, and needs for further enhancement in our knowledge base.

Blood transcriptome resources of chinstrap (Pygoscelis antarcticus) and gentoo (Pygoscelis papua) penguins from the South Shetland Islands, Antarctica

  • Kim, Bo-Mi;Jeong, Jihye;Jo, Euna;Ahn, Do-Hwan;Kim, Jeong-Hoon;Rhee, Jae-Sung;Park, Hyun
    • Genomics & Informatics
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    • v.17 no.1
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    • pp.5.1-5.9
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    • 2019
  • The chinstrap (Pygoscelis antarcticus) and gentoo (P. papua) penguins are distributed throughout Antarctica and the sub-Antarctic islands. In this study, high-quality de novo assemblies of blood transcriptomes from these penguins were generated using the Illumina MiSeq platform. A total of 22.2 and 21.8 raw reads were obtained from chinstrap and gentoo penguins, respectively. These reads were assembled using the Oases assembly platform and resulted in 26,036 and 21,854 contigs with N50 values of 929 and 933 base pairs, respectively. Functional gene annotations through pathway analyses of the Gene Ontology, EuKaryotic Orthologous Groups, and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were performed for each blood transcriptome, resulting in a similar compositional order between the two transcriptomes. Ortholog comparisons with previously published transcriptomes from the $Ad{\acute{e}}lie$ (P. adeliae) and emperor (Aptenodytes forsteri) penguins revealed that a high proportion of the four penguins' transcriptomes had significant sequence homology. Because blood and tissues of penguins have been used to monitor pollution in Antarctica, immune parameters in blood could be important indicators for understanding the health status of penguins and other Antarctic animals. In the blood transcriptomes, KEGG analyses detected many essential genes involved in the major innate immunity pathways, which are key metabolic pathways for maintaining homeostasis against exogenous infections or toxins. Blood transcriptome studies such as this may be useful for checking the immune and health status of penguins without sacrifice.

Development of Real-time HRV measurement Application based on vital signs for IoT smart stress care (IoT 스마트 스트레스 케어를 위한 생체신호 기반의 실시간 HRV 측정)

  • Song, Ho Jun;Park, Do Young
    • Journal of Platform Technology
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    • v.9 no.1
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    • pp.40-45
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    • 2021
  • Our daily lives have changed a lot because of the COVID-19 pandemic. This is essential to reduce the spread of COVID-19 due to public health measures such as social distancing. At the same time, however, they are exposed to depression, anxiety disorders, depressive disorders, trauma and stress-related disorders. For this, we developed an application that can check HRV data and stress index by measuring ECG and PPG based on a Smart Watch device that can measure bio-signals in real time. In the case of the developed application, the heart rate is measured and displayed in real time to deliver basic exercise information by measuring exercise, steps and calories, and total distance, and smoothly based on blood pressure, heart rate, and HRV data as a measurement program. Through this, I believe that the IoT Smart Stress Care Application, which can manage mental health by itself, will be helpful to patients with stress and depressive trauma disorders.

An Analysis of Impact on the Quality of Life for Chronic Patients based Big Data (빅데이터 기반 만성질환자의 삶의 질에 미치는 영향분석)

  • Kim, Min-kyoung;Cho, Young-bok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.11
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    • pp.1351-1356
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    • 2019
  • The purpose of this study is to investigate the effect of personal factors and community factors on the quality of life based on the presence of chronic patients based on the Big Data Platform. As a method of study, second data of 2017 community health survey and Statistics Korea by City·Gun·Gu public office were used and a multi-level analysis was conducted after separating EQ-5D index, individual factor and community factor. As a result, men, age, education level, monthly household income, having economic activity, the number of sports infrastructure were positively associated with the quality of life, and subjective health not good, extremely perceived stress were negatively associated with the quality of life. Research will continue to provide a platform independent of hardware that can utilize the cloud and open source for medical big data analysis in the future.

Cognitive Training Protocol Design and System Implementation using AR (증강현실을 이용한 인지훈련 프로토콜 설계 및 시스템 구현)

  • Cheol-Seung, Lee;Kuk-Se, Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.6
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    • pp.1207-1212
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    • 2022
  • Realistic media, the next-generation media technology in the era of the 4th industrial revolution, is becoming an issue as a technology to experience through an environment that optimizes user experience, especially! It is rapidly developing into the health and healthcare convergence and complex fields. Realistic media technologies and services are being adopted to solve the problems of the increase in chronic diseases due to the increase in the elderly population and the lack of infrastructure and professional manpower in the fields of cognitive training and rehabilitation. Therefore, in this study, a cognitive training system was designed and implemented for the purpose of improving cognitive ability and daily life activity in subjects with mild cognitive impairment (MCI) who require cognitive rehabilitation. In the future, an integrated service platform with interactive communication and immediate feedback as an intelligent cognitive rehabilitation integrated platform based on AI and BigData is left as a research project.

Analysis of interest in non-face-to-face medical counseling of modern people in the medical industry (의료 산업에 있어 현대인의 비대면 의학 상담에 대한 관심도 분석 기법)

  • Kang, Yooseong;Park, Jong Hoon;Oh, Hayoung;Lee, Se Uk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.11
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    • pp.1571-1576
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    • 2022
  • This study aims to analyze the interest of modern people in non-face-to-face medical counseling in the medical industrys. Big data was collected on two social platforms, 지식인, a platform that allows experts to receive medical counseling, and YouTube. In addition to the top five keywords of telephone counseling, "internal medicine", "general medicine", "department of neurology", "department of mental health", and "pediatrics", a data set was built from each platform with a total of eight search terms: "specialist", "medical counseling", and "health information". Afterwards, pre-processing processes such as morpheme classification, disease extraction, and normalization were performed based on the crawled data. Data was visualized with word clouds, broken line graphs, quarterly graphs, and bar graphs by disease frequency based on word frequency. An emotional classification model was constructed only for YouTube data, and the performance of GRU and BERT-based models was compared.

The Immediate Effects of Ankle Restriction Using an Elastic Band on Ground Reaction Force during a Golf Swing

  • Yi, Kyungock;Kim, OkJa
    • Korean Journal of Applied Biomechanics
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    • v.26 no.2
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    • pp.191-195
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    • 2016
  • Purpose: The purpose of this study was to analyze the immediate effects of ankle restriction with an elastic band on ground reaction force during a golf swing. Method: There were five subjects who were teaching pros with an average golf score of 75. A force platform (9281B, Switzerland) was used. The independent variable was the presence of an elastic band. The dependent variables were three-dimensional ground reaction forces to analyze the transfer of momentum with the timing, control and coordination of the three forces. A paired t-test within subject repeated measure design was used via an SPSS 20.0. Results: Wearing an elastic band around one's ankles significantly makes shorter time differences between the moment of cross anterior / posterior forces and vertical force and median value of anterior / posterior forces during the backswing, between medial and lateral maximum and anterior / posterior force from the top of the back swing to the mid down swing, and creates an anterior / posterior maximum force. Conclusion: Wearing an elastic band around one's ankles affects control and coordination between three dimensional forces, and anterior force power according to each phase of the golf swing.