Proceedings of the 1st International Conference on Medical and Health Informatics 2017最新文献

{"title":"A Mobile Application and Cloud Platform Supporting Research into Alcohol Consumption","authors":"Zhi Zheng, L. Bruns, Jiajie Li, R. Sinnott","doi":"10.1145/3107514.3107519","DOIUrl":"https://doi.org/10.1145/3107514.3107519","url":null,"abstract":"As the most widely used recreational drug in Australia, alcohol is often misused or over consumed by young people. Binge drinking, drink driving and unsafe sex after drinking have been identified as major health risks affecting young people. This paper reports on a platform applying mobile technology to help doctors and researchers collect data among young people and inform individuals about their alcohol consumption patterns. This app is available in both the iOS and the Android platforms. The app itself collects information on self-reported alcohol consumption patterns and records it for analysis on a Cloud-based data platform. The app tracks individual alcohol consumption longitudinally with a range of server side analysis components. The range of information collected through the app will improve not only the process of data collection and enhance the accuracy of the collected data for alcohol researchers, but also reduce the workload of doctors and researchers in monitoring and analysis of alcohol consumption patterns and their impact on young people and society more generally.","PeriodicalId":214313,"journal":{"name":"Proceedings of the 1st International Conference on Medical and Health Informatics 2017","volume":"27 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124434959","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":"Analysis of Differences in Clinical Index between Lung Cancer Patients with or without Metastasis","authors":"Peihua Chen, Chuandi Pan, Xiaoxiao Xu","doi":"10.1145/3107514.3107529","DOIUrl":"https://doi.org/10.1145/3107514.3107529","url":null,"abstract":"Lung cancer is a malignant disease with high morbidity and mortality. Early prediction of its metastasis is of great clinical significance. A total of 447 clinical indexes from 2847 lung cancer patients with and without metastasis were evaluated and after screening using non-parametric statistical tests. Twenty-one clinical examination indexes were identified that differed significantly between patients with and without metastasis. Tumour markers, nutritional status, immune system parameters, erythrocyte content, erythrocyte morphology and blood viscosity differed significantly between patients with and without metastasis. Among these indexes, the carcinoembryonic antigen index was the most significant. At present, there is a lack of highly specific biomarkers for lung cancer metastasis. The clinical indexes identified in this study can be used as key indicators of lung cancer metastasis during late follow-up.","PeriodicalId":214313,"journal":{"name":"Proceedings of the 1st International Conference on Medical and Health Informatics 2017","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123401361","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":"Disparity in HPV Vaccine Use 2009-2015 among Young Adults in the US Interview Survey","authors":"Tang Ruyi","doi":"10.1145/3107514.3107528","DOIUrl":"https://doi.org/10.1145/3107514.3107528","url":null,"abstract":"Objectives: This study aimed to examine difference in HPV vaccine receipt proportion among recipients of different regions, races and genders using national data. Methods: National Health Interview Survey (NHIS) data in year 2009, 2011, 2012, 2013, 2014 and year 2015 were used. All participants in this study were between 18-26 years old as the last day of survey year. The outcomes of interest include 'ever received any HPV vaccine' and 'ever received three-dose HPV vaccine'. Logistic regression models were conducted to test if there is improvement in HPV immunization over the years compared to year 2009. We also examine the HPV immunization disparity due to sex, race, region, etc. The final weighting variable was applied for all the analysis in this study. Results: A total of 1929 (17,969,653 after weighting) in year 2009, 4333 (36,946,340 after weighting) in year 2011, 4369 (36,722,787 after weighting) in year 2012, 4225 (36,221,482 after weighting) in year 2013, 4277 (35,920,194 after weighting) in year 2014, 3674 (35,063,591 after weighting) in year 2015 were included in the final analysis. The average age was 22.0 in each year. Approximately 19% of the participants in year 2009 (female only) received HPV vaccine; it gradually increased to 28% of all (both male and female) in year 2015. Over the years, it increased from 19% in year 2009 to 42% in year 2015 for the females. Meanwhile it increased from 2% in year 2011 to 13% in year 2015 for the males. Over the years, it increased from 26% in year 2009 to 35% in year 2015 for the Northeast region. Meanwhile it increased from 20% in year 2009 to 26% in year 2015 for the Midwest region. It increased from 17% in year 2009 to 26% in year 2015 for the South region. It increased from 18% in year 2009 to 28% in year 2015 for the South region. Over the years, it increased from 21% in year 2009 to 28% in year 2015 for the white. Meanwhile it increased from 15% in year 2009 to 27% in year 2015 for the black. It increased from 12% in year 2009 to 27% in year 2015 for the Asian. It increased from 10% in year 2009 to 19% in year 2015 for the others. All the difference were statistically significnat (p-values<0.05). Simiar results were observed for 3-dose HPV vaccine receipt. Losgitic regression confirmed the regional dispary, sexual disparity, and racial disparity in HPV vaccine receipt were significant. Conclusions: In this study we found that HPV vaccine use increased over the time. However, sexual disparity, regional disparity and racial disparity in HPV vaccine use continuously existed over the years. Measures to improve the proportion as well as to eliminate disparity were still nearly needed.","PeriodicalId":214313,"journal":{"name":"Proceedings of the 1st International Conference on Medical and Health Informatics 2017","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121724807","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":"Autism Spectrum Disorder Screening: Machine Learning Adaptation and DSM-5 Fulfillment","authors":"F. Thabtah","doi":"10.1145/3107514.3107515","DOIUrl":"https://doi.org/10.1145/3107514.3107515","url":null,"abstract":"One of the primary psychiatric disorders is Autistic Spectrum Disorder (ASD). ASD is a mental disorder that limits the use of linguistic, communicative, cognitive, skills as well as social skills and abilities. Recently, ASD has been studied in the behavioural sciences using intelligent methods based around machine learning to speed up the screening time or to improve sensitivity, specificity or accuracy of the diagnosis process. Machine learning considers the ASD diagnosis problem as a classification task in which predictive models are built based on historical cases and controls. These models are supposed to be plugged into a screening tool to accomplish one or more of the aforementioned goals. In this paper, we shed light on recent studies that employ machine learning in ASD classification in order to discuss their pros and cons. Moreover, we highlight a noticeable problem associated with current ASD screening tools; the reliability of these tools using the DSM-IV rather than the DSM-5 manual. Hence the necessity to amend current screening tools to reflect the new imposed criteria of ASD classification in the DSM-5 particularly the diagnostic algorithms embedded within these methods.","PeriodicalId":214313,"journal":{"name":"Proceedings of the 1st International Conference on Medical and Health Informatics 2017","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127411458","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":"Medical Specialists Retrieval System Using Unified Medical Language System","authors":"Aulia Zahrina Qashri, Oscar Karnalim, Hapnes Toba","doi":"10.1145/3107514.3107521","DOIUrl":"https://doi.org/10.1145/3107514.3107521","url":null,"abstract":"A large number of doctors and wide range of medical specialties can cause confusion in choosing the right medical specialist. This research aims to build a medical specialists retrieval system that corresponds with the user's disease. To make the system whole, it requires the ability to differentiate a query from common words and relate it to a disease, then associate the disease to related medical specialties. The Unified Medical Language System (UMLS) is used in query handling and finding relations between a disease and medical specialties. Additionally, the search results are sorted by the nearest medical practices based on user's location. This system has been evaluated by two internists which revealed an average score of 4.625 out of 5, which means relevant, of all points evaluated. Thus, provided a positive feedback to overall system performance.","PeriodicalId":214313,"journal":{"name":"Proceedings of the 1st International Conference on Medical and Health Informatics 2017","volume":"5124 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128516677","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":"Automatic Screening of Diabetic Retinopathy Images with Convolution Neural Network Based on Caffe Framework","authors":"Yuping Jiang, Huiqun Wu, Jiancheng Dong","doi":"10.1145/3107514.3107523","DOIUrl":"https://doi.org/10.1145/3107514.3107523","url":null,"abstract":"Objective Diabetic retinopathy (DR) is a serious complication of eye in diabetes mellitus (DM) patients. In order to automatically screen DR, we aim to use convolutional neural network (CNN) to screen DR fundus images automatically. Methods A total of 10,551 fundus images from Kaggle fundus image dataset were collected for this experiment. Firstly, the images were preprocessed by histogram equalization and image augmentation. Then, the CNN was constructed and trained with Caffe framework. Our designed CNN models were trained by 8,626 images. Finally, the performance of the trained CNN model was validated by classifying 1,925 fundus images into DR and non-DR ones. Results The performance results indicated that the CNN achieved accuracy of 75.70% in 1,925 test fundus images. Conclusions CNN model is useful to classify the DR fundus images, thus might be applicable in further DR screening program for larger DM population.","PeriodicalId":214313,"journal":{"name":"Proceedings of the 1st International Conference on Medical and Health Informatics 2017","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125533832","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":"Marketing Innovation: A New Informative Communication Case for Skull and Palate-Craniofacial Implants","authors":"Abbott Po Shun Chen, P. C. Huang","doi":"10.1145/3107514.3107517","DOIUrl":"https://doi.org/10.1145/3107514.3107517","url":null,"abstract":"Marketing innovation is an important aspect of information communication. This study designs medical 3D image technology. The information platform is directly linked to physician communication, offering a substantial increase in traditional communication between medical practitioners. This can enable fast and accurate completion of the skull and palate-craniofacial implant customization, response product feasibility and modification, thereby reducing the operation time and customization of the medical error rate, while also reducing the delay in the treatment of patients with time-course risk.","PeriodicalId":214313,"journal":{"name":"Proceedings of the 1st International Conference on Medical and Health Informatics 2017","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122651364","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":"Group Sparse based Super-resolution of Magnetic Resonance Images for Superior Lesion Diagnosis","authors":"Kathiravan Srinivasan, A. Sharma, A. Ankur","doi":"10.1145/3107514.3107530","DOIUrl":"https://doi.org/10.1145/3107514.3107530","url":null,"abstract":"In the modern times, retrieval of significant data from low-resolution (LR) magnetic resonance (MR) images has turned out to be a strenuous task. Also, in the recent years, several Super-resolution (SR) techniques have been established to address the issue of MR image resolution. This research focuses on developing a Super-resolution MR Image restoration method using group-based sparse representation technique (GSR). The major objective is to devise a GSR technique which is robust to noise, while most other SR methods cannot perform de-noising and super-resolution simultaneously. Moreover, the restoration dependent approach presumes that the LR images are warped, blurred and decimated from the respective high-resolution (HR) image. The algorithm exploits the similarity between non-locally positioned similar patches to effectively improve the quality of MR images. A single self-adaptive dictionary with low-complexity is used in the model in place of the general dictionary used in traditional approaches. This self-adaptive dictionary is trained for a group of patches rather than for each patch. Training the model for a group instead of patches allows the model to have a better edge and texture retention in the reconstructed image. This approach also establishes the fact that an enhanced detection of lesions is highly possible for superior disease diagnosis. The GSR approach proves to be efficient as it offers better PSNR values for all the MR images than its counterparts.","PeriodicalId":214313,"journal":{"name":"Proceedings of the 1st International Conference on Medical and Health Informatics 2017","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134402814","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 Laboratory Specimen Management System with Commercially Viable RFID Solution","authors":"Chia-Chi Teng, M. Leavitt, Andy Ivie","doi":"10.1145/3107514.3107532","DOIUrl":"https://doi.org/10.1145/3107514.3107532","url":null,"abstract":"Radio Frequency Identification (RFID) uses wireless electronic signal to identify, communicate and track tags attached to objects, animals or human. Applications using RFID technology have been successfully deployed in a variety of industries for many years. Discussions of adopting RFID in healthcare, its potential benefits and major obstacles have been well published in literatures. As healthcare industry increase its effort to improve quality and reduce errors, RFID is an important element in the healthcare information technology (IT) that is helping the industry to reach its goals. However, few has been able to successfully integrate RFID technology in real clinical environment due to reasons such as high cost and availability of suitable products. This study presents a commercially viable RFID solution for anatomical laboratory specimen management systems which has been used in partnering pathology laboratory and urology clinics for over a year. Over five thousand RFID tags has been embedded with prostate biopsy cores for over two thousand subjects with high reliability rate and overwhelmingly positive results.","PeriodicalId":214313,"journal":{"name":"Proceedings of the 1st International Conference on Medical and Health Informatics 2017","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121465253","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 Effects of Home Pharmaceutical Counseling on Prescription of Potentially Inappropriate Medications","authors":"Tzu-Chueh Wang, Hai-Lin Lu, D. Trezise, Wen-Shyong Liou, J. Shieh, Kung-Chuan Hsu","doi":"10.1145/3107514.3107524","DOIUrl":"https://doi.org/10.1145/3107514.3107524","url":null,"abstract":"Aging increases the danger of adverse reactions to medication, which can lead to hospitalization and mortality. Aging is also associated with increased rates of polypharmacy, which can lead to harmful interactive effects. The introduction of personalized pharmaceutical counseling for elderly patients when medications are prescribed can potentially reduce the danger of adverse reactions to medications, and thus promote public health. This paper reports on an exploratory project in elderly pharmaceutical counseling conducted in Taiwan from 2010 to 2012. An experiment group consisting of 40 patients received home pharmaceutical counseling from hospital pharmacists and community pharmacists, while a control group received only routine counseling at the time their medications were dispensed. The two groups' prescriptions were analyzed according to Beer's Criteria for Potentially Inappropriate Use of Medication. It was found that the rate of prescription of potentially inappropriate medications was reduced after home pharmaceutical counseling, when considered in terms of gender, rate of polypharmacy and age group. However, while home counseling appeared to reduce the incidence of prescription of potentially inappropriate medications at hospitals, this was not the case for community clinics. The paper discusses implications of these findings for future research and pharmaceutical practice.","PeriodicalId":214313,"journal":{"name":"Proceedings of the 1st International Conference on Medical and Health Informatics 2017","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115313231","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}