Proceedings of the 6th International Conference on Medical and Health Informatics最新文献

{"title":"New Approach to Policy Effectiveness for Covid-19 and Factors Influence Policy Effectiveness","authors":"Yile He","doi":"10.1145/3545729.3545773","DOIUrl":"https://doi.org/10.1145/3545729.3545773","url":null,"abstract":"This study compared the effectiveness of COVID-19 control policies, including wearing masks, and the vaccine rates through proportional infection rate in 28 states of the United States using the eSIR model. The effective rate of policies was measured by the difference between the predicted daily infection proportion rate using the data before the policy and the actual daily infection proportion rate. The study suggests that both mask and vaccine policy had a significant impact on mitigating the pandemic. We further explored how different social factors influenced the effectiveness of a specific policy through the linear regression model. Out of 9 factors, the population density, number of hospital beds per 1000 people, and percent of the population over 65 are the most substantial factors on mask policy effectiveness, while public health funding per person, percent of immigration have the most significant influence on vaccine policy effectiveness. This study summarized the effectiveness of different policies and factors they associated with. It can be served as a reference for future covid-19 related policy.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114735919","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 impact of CoViD-19 on the hospital activities: the case of the Neurosurgery Department of “San Giovanni di Dio e Ruggi d'Aragona” University Hospital","authors":"A. Scala, Teresa Angela Trunfio, I. Loperto, R. Alfano, A. Lombardi, A. Borrelli, M. Triassi, G. Improta","doi":"10.1145/3545729.3545783","DOIUrl":"https://doi.org/10.1145/3545729.3545783","url":null,"abstract":"Background. The CoViD-19 pandemic has hit the public health system in many nations hard. The long incubation period, the high infectious rate, the varied manifestation and the lack of effective treatment make managing the transmission of the disease difficult. For this reason, the health focus has been shifted to its management, thus limiting the activity carried out by surgical specialties. In neurosurgery, the complexity and importance of treatments in some cases requires timely intervention that cannot be delayed. Methods. In this study, the demographic and activity data of patients discharged from the Complex Operative Units (COU) of Neurosurgery and Neurosurgical Clinic of the \"San Giovanni di Dio e Ruggi d'Aragona\" University Hospital of Salerno (Italy) in the years 2019 (pre-pandemic) and 2020 (during the pandemic) were analyzed using statistical test and logistic regression. Results. Both statistical tests and logistic regression showed a significant increase in the weight of the Diagnosis Related Group (DRG) obtained from the COUs, demonstrating an improvement in the appropriateness of the services provided. Conclusion. This work demonstrates how a more consistent use of the hospital due to fear and containment measures has improved the performance of the COU.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129872859","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":"Type II Diabetes as the Main Risk Factor of Arterial Stiffness in Chronic Kidney Disease Patients","authors":"H. Susilo, M. Y. Alsagaff, B. Pikir, M. Thaha, C. Wungu","doi":"10.1145/3545729.3545771","DOIUrl":"https://doi.org/10.1145/3545729.3545771","url":null,"abstract":"Chronic kidney disease (CKD) is frequently linked to an increased risk of cardiovascular disease. Diabetes, hypertension, dyslipidemia, and obesity are all traditional risk factors of cardiovascular disease in CKD. However, the contribution of each of the traditional risk factors to arterial stiffness is unknown. This was a correlational study with a cross-sectional design. This study included forty CKD patients from Universitas Airlangga Hospital Surabaya, between December 2019 until March 2020. Serum samples were used to measure laboratory parameters, and Doppler ultrasound was used to assess carotid-femoral Pulse Wave Velocity (cfPWV). Spearman's analysis was conducted to determine correlations between cf-PWV and e-GFR, HBA1C, serum creatinine, and cystatin-C. Mann-Whitney test was performed to determine the association between type II diabetes with cf-PWV. Significant results were continued with linear regression analysis model. There were significant correlations between cf-PWV and e-GFR, HBA1C, serum creatinine, and cystatin-C. HBA1C showed the most significant positive correlation with a moderate correlation coefficient (p = 0.000; r = 0.581). Patients with type II diabetes was associated with increased cf-PWV. Linear regression model also revealed that HBA1C and history of diabetes were significant predictors of increased cf-PWV in CKD patients (β= 0.400; p = 0.011 and β= 0.537; p = 0.000, respectively). We found a positive correlation between HBA1C and cf-PWV and association between type II diabetes and increased cf-PWV. This proved that type II diabetes, especially with high HBA1C, acted as a significant risk factor for predicting increased arterial stiffness in CKD patients.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128383232","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 multiple regression model for modelling the hospital patients LOS’ of laparoscopic cholecystectomy: a bicentric study","authors":"Ida Santalucia, Marta Rosaria Marino, E. Raiola, Massimo Majolo, Giuseooe Russo, G. Longo, Giuseppe Ferrucci, A. Borrelli, M. Triassi","doi":"10.1145/3545729.3545770","DOIUrl":"https://doi.org/10.1145/3545729.3545770","url":null,"abstract":"Laparoscopic cholecystectomy (LC) interventions have had a great impact on health management and the effect has been evident in reducing the length of stay (LOS). This parameter is usually used as a performance indicator in order to measure the goodness of a health process. The prediction and control of this indicator is of considerable relevance for the management of hospital practice. In the following work the aim is to predict LOS for patients having LC surgery, using a linear model, at the University Hospital “San Giovanni di Dio and Ruggi d'Aragona” of Salerno (Italy) and at the A.O.R.N. \"Antonio Cardarelli\". Data were collected over two different years in order to compare the benefits of implementing some corrective actions introduced during the extracted time interval to increase the performance of the process under consideration. Linear regression models were implemented for each year and for each hospital. Obtained results show that in both hospitals a good predictive power of the models (R2= 0.84 and R2 = 0.97 and R2= 0.96 and R2 = 0.97 respectively).","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130544400","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":"Digital Public Health Surveillance with Online Health Consultation Data: An Example of HIV Monitoring","authors":"Chen Liu, William Yu Chung Wang, Gohar Khan","doi":"10.1145/3545729.3545748","DOIUrl":"https://doi.org/10.1145/3545729.3545748","url":null,"abstract":"There is increasing interest in obtaining electronic information from sources other than official public health organizations for public health surveillance. The potential of novel digital data sources, such as internet news, search engine, social media, mobile apps and wearable devices in improving the speed, scope and temporal precision of disease surveillance have been demonstrated. However, the value of Online Health Consultation (OHC) data in public health surveillance is ignored. This study aims to assess the predictive value of OHC data in public health surveillance. This study constructs a public health surveillance system for HIV with OHC data based on the medical entities extraction and disease prediction two-module framework. This research outcome will contribute to closing the knowledge gap in the research area of digital public health surveillance and provide inspiration for relevant scholars to make better use of OHC data in their research.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129740481","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":"Characteristics of the information needs of hypertension patients on online healthcare service platforms","authors":"Tingting Zhang, Sunjing Zheng, Yundi Zhang","doi":"10.1145/3545729.3545750","DOIUrl":"https://doi.org/10.1145/3545729.3545750","url":null,"abstract":"Hypertension has become the most risk factor for cardiovascular and cerebrovascular diseases. The purpose of this study is to reveal the information needs and evolution of hypertensive patients on online healthcare service platforms. We use the methods of statistical analysis, word frequency analysis and social network analysis to explore the information needs of hypertensive patients. The study found that the middle-aged and elderly people have the most information needs about hypertension on the online healthcare service platform, while the patients with physical examination and exercise needs are more inclined to be younger, and young male hypertension patients have more information needs than female patients. The findings recommend that middle-aged and elderly people should have regular physical examinations and exercise, and a comprehensive face-to-face system should be established on online healthcare service platforms to improve the utilization of existing question-and-answer data.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129971145","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":"Mechanism of necrotizing enterocolitis in preterm infants through the hypoxia signaling pathway, neuronal-glial signaling pathway, and intestinal fatty acid signaling pathway","authors":"D. Angelika, R. Etika, I. Ugrasena","doi":"10.1145/3545729.3545767","DOIUrl":"https://doi.org/10.1145/3545729.3545767","url":null,"abstract":"The etiology of necrotizing enterocolitis (NEC) is influenced by many factors including hypoxia, intestinal immaturity, bacterial colonization, reactive oxidants, and imbalanced inflammatory response; therefore, the pathogenesis of NEC is considered multifactorial. However, the pathogenesis of NEC has not been fully elucidated and requires further investigation. This study aimed to analyze the association between hypoxia inducible factor-1alpha (HIF-1alpha), glial fibrillary acidic protein (GFAP), glial derived neutrophic factor (GDNF), fatty acid binding protein-2 (FABP-2), peroxime proliferator activated receptor-gamma (PPAR-gamma), interleukin-6 (IL-6), and interleukin-8 (IL-8) with the incidence of NEC in preterm infants. All preterm infants with birth weight <1500 grams or gestational age <34 weeks were included in this study. After the umbilical cord was removed, 1 mL of umbilical blood was taken for HIF-1alpha, GFAP, GDNF, FABP-2, PPAR-gamma, IL-6, and IL-8 examination. Examination of HIF-1alpha, GFAP, GDNF, FABP-2, PPAR-gamma, IL-6, and IL-8 was repeated in infants with NEC symptoms using peripheral venous blood specimen. Infants were observed for 2 weeks. NEC was diagnosed based on clinical symptoms and abnormal abdominal radiographs. Of the 30 infants, there were 9 (30%) infants who experienced NEC. Logistic regression analysis showed significant results on GFAP with Odds Ratio (OR)=15.629 (95% confidence interval=1.697-143.906) P=0.015 and FABP-2 with OR=1.008 (1.001-1.015) P=0.033. Multivariate analysis using Backward LR logistic regression model showed significant results on GFAP with adjusted OR=15.629 (1.697-143.906) with P=0.015. This study demonstrated that GFAP and FABP-2 were significantly associated with the incidence of NEC. This may explain the pathogenesis of NEC through a hypoxic mechanism.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124505942","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 comparison of non-invasive ICPsnapshot and non-invasive ICPmonitoring methods on healthy volunteer: A pilot study.","authors":"Vilma Putnynaite, L. Bartusis, S. Krakauskaite, R. Zakelis, Y. Hamarat","doi":"10.1145/3545729.3545774","DOIUrl":"https://doi.org/10.1145/3545729.3545774","url":null,"abstract":"Intracranial pressure (ICP) monitoring is essential in management and in treatment of neurosurgical, neurological, and in some cases of ophthalmological patients. However, ICP monitoring is not suitable for a wider range of patient groups due to the invasiveness. Non-invasive ICP estimation would also be valuable in other clinical situations where patients are conscious (nephrology, aerospace, and sport medicine, etc.). In case of ophthalmology, ICP and intraocular pressure is considered to be two key factors for precise and patient individual normal tension and high-tension glaucoma diagnosis. Here, we have compared two different non-invasive ICP measurement methods. After snapshot calibration by non-invasive ICP snapshot measurement method, the ICP monitoring method could be used in glaucoma patients in cases where ICP values are low than the normal range.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132464801","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":"Lean Six Sigma approach to the study of the LOS of patients who undergo laparoscopic cholecystectomy: a bicentric study","authors":"E. Montella, Marta Rosaria Marino, Massimo Majolo, E. Raiola, Giuseppe Russo, G. Longo, Michele Sparano, A. Borrelli, M. Triassi","doi":"10.1145/3545729.3545779","DOIUrl":"https://doi.org/10.1145/3545729.3545779","url":null,"abstract":"Laparoscopic cholecystectomy (LC) is considered the standard procedure for the treatment of gallstone. Compared to traditional surgery with the introduction of this procedure reduces the recovery time for a patient. According to literature, the postoperative LOS after LC is generally between 3 and 5 days. Length of stay (LOS) is a crucial piece of the patient experience and has proven to be an important indicator of health care efficiency. In the work the clinical data of the patients of the University Hospital \"San Giovanni di Dio e Ruggi d'Aragona\" of Salerno and the patients of the A.O.R.N. \"Antonio Cardarelli\" of Naples (Italy) were used, comparing two years (2016-2017) to demonstrate that the introduction of corrective actions have led to a reduction in the postoperative LOS. A Lean Six Sigma approach was used, with the implementation of the DMAIC cycle (Define, Measure, Analyze, Improve, Control), thanks to which it was possible to demonstrate significant results in the reduction of post-operative hospitalizations.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132201532","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":"Develop a Natural Language Processing Pipeline to Automate Extraction of Periodontal Disease Information from Electronic Dental Clinical Notes","authors":"J. Patel, R. Rao, R. Brandon, Vishnu Iyer, J. Albandar, M. Tellez, J. Krois, Huanmei Wu","doi":"10.1145/3545729.3545744","DOIUrl":"https://doi.org/10.1145/3545729.3545744","url":null,"abstract":"Introduction: Periodontal disease (PD) is one of the most prevalent dental diseases, suffered by 80% of US adults. PD can be prevented if its etiologic and risk factors are identified and controlled early. Electronic dental record (EDR) data provide researchers a unique opportunity to develop prediction models that can provide personalized disease risk and treatment recommendations. However, 90% of important clinical information is documented only in the free-text format of EDR. The objective of this study was to develop natural language processing (NLP) applications to extract PD diagnoses, medical histories (e.g., cardiovascular diseases, diabetes), and social history (e.g., smoking) in a structured format for comprehensive follow-up periodontal research. Methods: We have developed a five-stage NLP pipeline. First, we retrieved both structured and non-structured data from the EDR using SQL queries. Next, we developed manual annotation guidelines using both the bottom-up and top-down approaches. The manual annotations were performed by experts in Step 3, which also built the gold standard data. Part of the gold standard data was used in a named entity recognition (NER) development (Step 4), and for additional validation (Step 5). Results: The SQL queries resulted in a cohort of 27,138 unique patients, each with multiple clinical notes. The manual annotation guidelines were based on 100 unique patients with 347 clinical notes to identify the writing patterns in our EDR system. Existing literature was also studied to develop manual annotation guidelines. For Step 3, two domain experts manually reviewed 4,000 clinical notes using the eHOST annotation tool. The evaluation showed 94.5% accuracy in extracting patients’ detailed PD diagnoses, CVD, smoking, and diabetes information from the EDR. Statistics of the extracted clinical notes improved our knowledge on periodontitis classification and other systemic diseases such as cardiovascular diseases (CVD) and diabetes. Conclusion: Our NLP pipeline increased the utilization of EDR for periodontal research from the free-text dental clinical notes. Hence, developing novel informatics methods such as NLP is critical for using EDR data optimally and efficiently for research.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123611967","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}