Health and Technology最新文献

{"title":"Real time health care big data analytics model for improved QoS in cardiac disease prediction with IoT devices","authors":"M. Safa, A. Pandian, H. Gururaj, Vinayakumar Ravi, M. Krichen","doi":"10.1007/s12553-023-00747-1","DOIUrl":"https://doi.org/10.1007/s12553-023-00747-1","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"9 1","pages":"473 - 483"},"PeriodicalIF":2.5,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89430109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging evaluated remotely through telemedicine as a reliable alternative for accurate diagnosis: a systematic review","authors":"Karla C. Maita, Luiza Palmieri-Serrano, Francisco R. Avila, Ricardo A. Torres-Guzman, John P. Garcia, Abdullah S. Eldaly, C. Haider, Christopher L. Felton, M. Paulson, M. Maniaci, A. Forte","doi":"10.1007/s12553-023-00745-3","DOIUrl":"https://doi.org/10.1007/s12553-023-00745-3","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"24 1","pages":"347 - 364"},"PeriodicalIF":2.5,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85465557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Narrative literature review of facilitators and barriers to implementing computerized maintenance management systems in low-middle-income countries","authors":"Danielle Cohen, Nikolai Visnjic, D. Akaateba, Kelly Hadfield","doi":"10.1007/s12553-023-00743-5","DOIUrl":"https://doi.org/10.1007/s12553-023-00743-5","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"46 1","pages":"373 - 378"},"PeriodicalIF":2.5,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85591914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions","authors":"Srigiri Krishnapriya, Y. Karuna","doi":"10.1007/s12553-023-00737-3","DOIUrl":"https://doi.org/10.1007/s12553-023-00737-3","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"54 1","pages":"181 - 201"},"PeriodicalIF":2.5,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78236261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-world treatment response in Japanese patients with cancer using unstructured data from electronic health records","authors":"Kenji Araki, Nobuhiro Matsumoto, K. Togo, N. Yonemoto, Emiko Ohki, Lin Xu, Yoshiyuki Hasegawa, Hirofumi Inoue, Sakiko Yamashita, T. Miyazaki","doi":"10.1007/s12553-023-00739-1","DOIUrl":"https://doi.org/10.1007/s12553-023-00739-1","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"66 1","pages":"253-262"},"PeriodicalIF":2.5,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81546165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors contributing to poor healthcare data quality: qualitative study from Southern Ethiopia","authors":"Misganu Endriyas, Abraham Alano Ali, Emebet Mekonnen, S. Hailu, Tesfahun Hailemariam, S. Ayele, M. Shiferaw, Temesgen Kelaye, Tebeje Misganaw, Teka Samuel","doi":"10.1007/s12553-023-00741-7","DOIUrl":"https://doi.org/10.1007/s12553-023-00741-7","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"808 1","pages":"245-251"},"PeriodicalIF":2.5,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78895083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments","authors":"M. Nuutinen, Anna-Maria Hiltunen, Sonja Korhonen, Ira Haavisto, P. Poikonen-Saksela, J. Mattson, Georgios C. Manikis, H. Kondylakis, P. Simos, K. Mazzocco, R. Pat-Horenczyk, B. Sousa, F. Cardoso, Isabel Manica, I. Kudel, R. Leskelä","doi":"10.1007/s12553-023-00733-7","DOIUrl":"https://doi.org/10.1007/s12553-023-00733-7","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"43 1","pages":"229-244"},"PeriodicalIF":2.5,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86666333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The applications and the effectiveness of mHealth interventions to manage lung cancer patients: a systematic review","authors":"P. Amiri, L. Ahmadian, Reza Khajouei","doi":"10.1007/s12553-023-00735-5","DOIUrl":"https://doi.org/10.1007/s12553-023-00735-5","url":null,"abstract":"","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"8 1","pages":"171 - 180"},"PeriodicalIF":2.5,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88383947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A robotic arm for safe and accurate control of biomedical equipment during COVID-19.","authors":"Ernesto Iadanza,&nbsp;Giammarco Pasqua,&nbsp;Davide Piaggio,&nbsp;Corrado Caputo,&nbsp;Monica Gherardelli,&nbsp;Leandro Pecchia","doi":"10.1007/s12553-022-00715-1","DOIUrl":"https://doi.org/10.1007/s12553-022-00715-1","url":null,"abstract":"<p><strong>Purpose: </strong>Hospital facilities and social life, along with the global economy, have been severely challenged by COVID-19 since the World Health Organization (WHO) declared it a pandemic in March 2020. Since then, countless ordinary citizens, as well as healthcare workers, have contracted the virus by just coming into contact with infected surfaces. In order to minimise the risk of getting infected by contact with such surfaces, our study aims to design, prototype, and test a new device able to connect users, such as common citizens, doctors or paramedics, with either common-use interfaces (e.g., lift and snack machine keyboards, traffic light push-buttons) or medical-use interfaces (e.g., any medical equipment keypad).</p><p><strong>Method: </strong>To this purpose, the device was designed with the help of Unified Modelling Language (UML) schemes, and was informed by a risk analysis, that highlighted some of its essential requirements and specifications. Consequently, the chosen constructive solution of the robotic system, i.e., a robotic-arm structure, was designed and manufactured using computer-aided design and 3D printing.</p><p><strong>Result: </strong>The final prototype included a properly programmed micro-controller, linked via Bluetooth to a multi-platform mobile phone app, which represents the user interface. The system was then successfully tested on different physical keypads and touch screens. Better performance of the system can be foreseen by introducing improvements in the industrial production phase.</p><p><strong>Conclusion: </strong>This first prototype paves the way for further research in this area, allowing for better management and preparedness of next pandemic emergencies.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 2","pages":"285-300"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813453/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9119086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Internet of Things (IoT) based automated sanitizer dispenser and COVID-19 statistics reporter in a post-pandemic world.","authors":"Ashok G,&nbsp;John Paul J,&nbsp;Thusnavis Mary Bella I,&nbsp;Sybiya Vasantha Packiavathy,&nbsp;Sneha Gautam","doi":"10.1007/s12553-023-00728-4","DOIUrl":"https://doi.org/10.1007/s12553-023-00728-4","url":null,"abstract":"<p><strong>Purpose: </strong>Coronavirus is among the deadliest viruses of the 21st century. There is still a Coronavirus epidemic that affects most countries worldwide today. To prevent future outbreaks and protect public health, it is essential to invest in research and innovation on vaccines, treatments, diagnostic tests, public health infrastructure, and emergency response planning. Additionally, we need to work on mitigation strategies and take a comprehensive and multidisciplinary approach to prevent and fight against the virus.</p><p><strong>Methods: </strong>For the purpose of preventing the spread of microbial organisms, it is essential to take advantage of automatic sanitizer dispensers by deploying them in public places. This is one of the most feasible and effective ways to ensure that people have easy access to hand sanitizer and can reduce the spread of germs.</p><p><strong>Results: </strong>The proposed solution is a contactless sanitizer dispenser with an integrated temperature monitoring system, as well as an alert system for users who exhibit the symptom of infection. Moreover, the proposed solution has added advantage of interfacing with an electronic door so that we can easily implement it at the entrance of a public building/public transportation. This dispenser will also collect data that can be used to identify a symptomatic user and alert the appropriate authorities for safe quarantine. In addition, it is also used to monitor usage metrics, record user entries, and conduct statistical surveys using the ThinkSpeak platform.</p><p><strong>Conclusions: </strong>The proposed model could be a feasible solution to prevent the entry of infected persons and asymptomatic carriers indoors. This can be achieved by implementing automated temperature screening before allowing entry into the building. This can help identify individuals who are potentially infected with the virus and prevent them from entering the premises and potentially spreading the disease to others. Overall, the proposed model is a comprehensive and practical solution that can help to prevent the entry of infected persons and asymptomatic carriers indoors and help to keep the public safe.</p>","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"13 2","pages":"327-341"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851904/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9125895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}