Sherwin M. Telan

Bio: Sherwin M. Telan is an academic researcher from College of Information Technology. The author has contributed to research in topics: Health care & Rural health. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

Cloud-based Data Mining Framework: A Model to Improve Maternal Healthcare

Abstract: The foundation of quality health care depends upon the presence of competent health personnel working in a situation where prescriptions and health supplies are accessible when required and in sufficient quantity and of guaranteed quality. This paper conduces to propound a decision support framework model for the Department of Health (DOH) which able to innovate the acquisition and allocation management of medicines and health supplies with the aim of improving the maternal healthcare in the Philippines.In-depth interviews were conducted to DOH officials and facility managers of Rural Health Units (RHU) and in the 3rd district of Albay, Bicol Philippines. Data triangulation and literature review are employed to design the framework. Finally to assess its applicability, a simulative-evaluation is conveyed.Respondents reported on the unreliability of obtaining healthcare supplies for RHU's, which results untimely and suboptimal rendering of healthcare services. Also, insufficient provision of medicines from the government and lack of accountability within the supply system due of inadequate and incoherent terminal reports were revealed to contribute to the current situation.To address the mentioned challenges, this study recommends the consideration of the proposed framework model employing cloud computing and data mining to remarkably improve the administration on the provision of medicines and health supplies, guaranteeing its auspicious accessibility for the benefit of Filipino pregnant women ensuring their health as carriers of the lives to be born as the future of the nation.

Health information systems.

Abstract: Health information systems R G Rowe, MFCM, and R D Brittain, MD.... 951 Beh et's disease H Yazici, MD; P J Gow, FRACP.......... 952 Preventing Rh haemolytic disease L A D Tovey, FRCPATH ................ 952 Syringe-transmitted hepatitis S M Laird, FRCPGLAS; H Gordon, MFCM.. 953 Misdiagnosis of amoebiasis D S Ridley, FRCPATH, and D C Warhurst, PHD .................................. 953 Blood cultures for diagnosis of endocarditis E Joan Stokes, FRCPATH, and A Hollman, FRCP .................................. 953 Bell's palsy and herpes simplex B E Juel-Jensen, FRCP; Constance A C Ross, FRCPATH .............................. 953 Antibiotic resistance in Streptococcus pneumoniae and Haemophilus influenzae A J Howard, MB, and J D Williams, MD.... 954 Antibiotics in endocarditis B C Stratford, FRACP; Celia M Oakley, FRCP 954 Falls and femoral fractures T P Eddy, FFCM ...................... 955 Asthma in children J K Sarsfield, MD; N C H Stott, MRCPED .... 955 Abuse of pentazocine St Kubicki, MD; T A Betts, MRCPSYCH .... 955 Swaddling and congenital dislocation of the hip M P M Richards, PHD ..... ..... 956 Health of King Henry VIII R J Hetherington, MB ................... 956 Aminoglycosides in patients with impaired renal function K R Woodcock, MRCP; P Noone, MRCPATH 956 The Year of the Child: an objective for rich nations Isabel Smith, MRCP, and D C Morley, FRCP 957 Central venous catheter embolism J L Peters, FRCS; D Verel, FRCP.......... 957 Misuse of hypnosis H B Gibson, PHD, DIPPSYCH............ 957 Patient package inserts J D Collinge, MRCGP .................... 958 Side effects of antibiotics in mountain climbers A Pines, FRCPED ........................ 958 Successful defibrillation in general practice A D Shaw, MRCGP, and J L Baird, MRCP .... 958 When and why are babies weaned? Penny A Stanway, MB .................. 958 Contamination of sterile fluids G Prout, BSC .......................... 959 Abuse of asthma cigarettes RGH Bethel,MB ....................... 959 Closed shop in the USA J H Shepherd, FRCS .................... 959 Inhibition of fibrinolysis and abruptio placentae C Merskey, FRCP, and others; G J Kleiner, MD, and Wilma M Greston, MT.......... 959 Cardiac arrhythmias due to chloral hydrate poisoning Heather M Wiseman, MSC, and G Hampel, M .................................. 960 Rubella vaccination and pregnancy S R Preblud, MD, and others ............ 960 Iodine and acetone-containing plastic spray dressings P R W Lanham, FFARCS .................. 961 Neonatal chlamydia conjunctivitis J W T Benson, MRCP, and D C Davidson, MRcP ................................ 961

The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals

Abstract: The United Nations’ Sustainable Development Goals (SDGs) set out to improve the quality of life of people in developed, emerging, and developing countries by covering social and economic aspects, with a focus on environmental sustainability. At the same time, data-driven technologies influence our lives in all areas and have caused fundamental economical and societal changes. This study presents a comprehensive literature review on how data-driven approaches have enabled or inhibited the successful achievement of the 17 SDGs to date. Our findings show that data-driven analytics and tools contribute to achieving the 17 SDGs, e.g., by making information more reliable, supporting better-informed decision-making, implementing data-based policies, prioritizing actions, and optimizing the allocation of resources. Based on a qualitative content analysis, results were aggregated into a conceptual framework, including the following categories: (1) uses of data-driven methods (e.g., monitoring, measurement, mapping or modeling, forecasting, risk assessment, and planning purposes), (2) resulting positive effects, (3) arising challenges, and (4) recommendations for action to overcome these challenges. Despite positive effects and versatile applications, problems such as data gaps, data biases, high energy consumption of computational resources, ethical concerns, privacy, ownership, and security issues stand in the way of achieving the 17 SDGs.

11 Years with Wearables: Quantitative Analysis of Social Media, Academia, News Agencies, and Lead User Community from 2009-2020 on Wearable Technologies

Abstract: The role of wearable technology in our daily lives is rapidly growing and many users are cumulatively becoming dependent on it. To provide insight into the future of wearable technologies and various community attitudes towards them, we implemented an in-depth quantitative investigation of opinions from academic texts (DBLP and PubMed), social media (Twitter), news media (Google News and Bing News), and entrepreneurship communities (Kickstarter and Indiegogo) over a 10-year period. Our results indicate that unlike academia, the news media, entrepreneurship communities, and social media all hold overall positive attitudes towards wearable technologies. Secondly, there are diverse perspectives towards various wearable products across different platforms. Specifically, "XR" technologies received the most attention, while "Exoskeleton" ignited the most heated debates. Thirdly, we discovered that the lifetime of a hyped wearable technology lasts approximately three years. Furthermore, the news media and entrepreneurship community's attitudes towards wearable technologies did not have a strong impact on public opinion. Finally, among all types of wearable technologies, "fashion design" and "healthcare" products were the most enlightening for the market.

The Impact of Healthcare Monitoring Technologies for Better Pregnancy

Abstract: In recent years, the industry of wearable devices for pregnancies has been developing rapidly. The devices ranges from foetal monitors to multi-functional health examination instruments, which helped monitoring and management of maternal health indicators such as foetal heart rate, blood glucose, and blood pressure in home. Pregnant women and obstetricians are bounded together by wearable devices in an unprecedented way. With the universal use of the Internet of Things technology, the Smart Maternal construction started to raise people’s attention. This paper investigated the impact of the state-of-the-art monitoring techniques such as Internet of Things for smart maternal healthcare services. We have performed an experimental analysis based on a dataset of 315 samples of pregnant women using questionnaires. The results implies there are generally a large impact that pregnant women’s recognition and acceptance of using wearable IoT devices during pregnancy.

An evaluation model for Cloud-based Data mining Systems with Hadoop

Abstract: The traditional approach of mining is more expensive, slow, and is inefficient in case of big data. This calls the essence of cloud technology which has the capability of discovering knowledge from a huge database at a very high rate. The implementation of Hadoop technology makes the processing more efficient because of its underlying characteristic of parallelism and data locality. The aim is to have a system based on a review that resembles the most efficient cloud data mining technology. The system should have capabilities to mine big data and have greater application whilst address the problems of existing mining technologies. In doing so, the existing technologies described by some of the relevant works were taken to achieve the overall framework. Reviews of related works were performed for a better understanding of the existing technology on cloud data mining. Based on the references, some algorithms perform better in any given circumstance. The scalability, parallelism, and cost-effectiveness play a significant role in making the system more efficient. The data locality feature of Hadoop gives a maximum optimization in the mining process. Data mining is not a single task, and there is nothing like one algorithm fits all the tasks of mining procedures. The assumptions and given circumstance of data mining will define the accuracy of mining and overall performance. Data type and tasks are always changing which indicates the essence in dynamic algorithms and techniques of data mining.