scholarly journals Tianxia120: A Multimodal Medical Data Collection Bioinformatic System for Proactive Health Management in Internet of Medical Things

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Zihan Jiao ◽  
Yindong Xiao ◽  
Yanmei Jin ◽  
Xinyu Chen ◽  
Xiwei Huang

A digital medical health system named Tianxia120 that can provide patients and hospitals with “one-step service” is proposed in this paper. Evolving from the techniques of Internet of Medical Things (IoMT), medical dig data, and medical Artificial Intelligence, the system can systematically promote the change of service status between doctors and patients from “passive mode” to “proactive mode” and realize online service that is similar to offline medical treatment scenarios. The system consists of a patient terminal and a doctor terminal. They can perform online inquiry (through graphic, voice, telephone, video, etc.), electronic prescription, multiparameter self-diagnosis, cold chain logistics, medicine distribution, etc. The system can provide rich medical health information, medical tools browsing, and health care big data aggregation processing functions. Compared with the traditional medical system, this system has the characteristics of full function, rich data, and high security. It is expected to be applied to hospital applications and medical research to promote the construction and innovation of clinical medical disciplines.

Folia Medica ◽  
2020 ◽  
Vol 62 (3) ◽  
pp. 509-514
Author(s):  
Ralitsa Raycheva ◽  
Yordanka Stoilova ◽  
Ani Kevorkyan ◽  
Vanya Rangelova

Introduction: Epidemiological forecasting facilitates scientifically sound solutions to upcoming theoretical and practical issues, in the development of public health management, in particular of infectious diseases. Aim: To critically analyze the most recent scientific advances in the biosocial nature and methodology of epidemiological forecasting to present a real-life example of pertussis, a disease with shifting epidemiology. Materials and methods: For the prediction of pertussis morbidity the autoregressive integrated moving average (ARIMA) the model was established by utilizing the method of time series analysis to construct a model of overall morbidity using Time series modeller in SPSS v.25. To model pertussis morbidity we obtained official data from the Ministry of Health and the National Center for Infectious and Parasitic Diseases, since the beginning of disease registration from 1903 until 2018. We also analyzed the shifting epidemiology of pertussis. Results: The proper identification procedures we applied indicated ARIMA (3,0,0) model to best fit our original time series of the annual whooping cough morbidity for the 1921-2018 period. The model predicts better morbidity in a one-step forecast. The incidence rate is expected to be stable at about 1.35 per 100,000 in the next three years, which is close to the 2016 level and lower than those in 2017-2018. Conclusion: The ARIMA (3,0,0) model in our study is an adequate tool for presenting the pertussis morbidity trend and is suitable to forecast near-future disease dynamics, with acceptable error tolerance.


Author(s):  
Mansi Athalye ◽  
Sneha Vaghela ◽  
Nehal Bhavsar

Over the years, a number of dietary supplements and health foods are being utilized and are available at pharmacy stores. These medicinally or nutritionally functional foods are considered as ‘Nutraceuticals’. The term was defined in 1989 by Stephen De Felice, founder and chairman of the Foundation for Innovation in Medicine, an American organization which encourages medical health research. He defined a nutraceutical as a “food, or parts of a food, that provide medical or health benefits, including the prevention and treatment of disease”. As these substances are neither be considered as drug or as food, the risk of toxicity and safety should be considered for better health management which requires the research and safety evaluation of Nutraceuticals as per the regulations. Therefore, the aim of the present work is to review regulatory prospects of these Nutraceutical products in ASEAN countries.


2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Nur Amalina Khazani ◽  
Nik Zuraina Nik Mohd Noor ◽  
Chan Yean Yean ◽  
Habsah Hasan ◽  
Siti Suraiya ◽  
...  

Klebsiella pneumoniaeandHaemophilus influenzaeare two common pathogens associated with respiratory tract infections. The identification of these pathogens using conventional molecular diagnostic tests requires trained personnel, cold-chain transportation, and storage-dependance, which does not render them user-friendly. The aim of this study was to develop a thermostabilized, cold-chain-free, one-step multiplex PCR for simultaneous detection ofK. pneumoniaeandH. influenzae.The multiplex PCR assay was designed to amplify thephpgene ofK. pneumoniae(202 bp) andp6gene ofH. influenzae(582 bp). In addition, the specific primer to amplifyglmgene ofHelicobacter pylori(105 bp) was included as an internal amplification control. Subsequently, the designed primers and all PCR reagents were thermostabilized by lyophilization. The stability of the thermostabilized PCR was evaluated using theQ10method. The sensitivity and specificity of performances for thermostabilized PCR were evaluated using 127 clinical isolates and were found to be 100% sensitive and specific. The thermostabilized PCR mix was found to be stable for 30 days and theQ10 accelerated stability was found to be 3.02 months. A cold-chain-free, PCR assay for easy, rapid, and simultaneous detection ofK. pneumoniaeandH. influenzaewas successfully developed in this study.


2020 ◽  
Author(s):  
Neil S. Lacanlale ◽  
Mauro Allan Padua Amparado

Objectives: The study evaluated the implementation of the school health management program of a university in Cebu City, Cebu, Philippines. The findings were the bases for an improved school health management manual.Specifically, the study answered the following queries:1.What is the level of implementation of the medical health program in the aspects of:1.1.health and nutrition education;1.2.health school living;1.3.health and nutrition services;1.4.school-community coordination for health and nutrition?2.What is the level of implementation of the dental health program?3.What is the level of implementation of the nursing health program?4.What is the level of implementation of the nutrition program?5.Is there a significant difference in the extent of implementation of the school health program as perceived by students in the aspects of:5.1.medical health program;5.2.dental health program;5.3.nutrition program;5.4.nursing health program;6.What improved school health management manual can be proposed based on the findings of the study? Methods:This study utilized the descriptive-evaluative design. The study utilized 295 respondents with three groups: basic education students, high school students, and college students. It was conducted at the University of Southern Philippines Foundation, Cebu City, Cebu, Philippines.Findings and Conclusion:The basic education students perceived that there was fair implementation of the medical health, dental health, nutrition, and nursing health programs. The high school students viewed the four programs as moderately implemented. The college students viewed the four programs as fairly implemented. There were significant differences in the four programs as perceived by the three groups.These health programs must be intensified and strengthened. Services across all programs should be delivered extensively. Recommended citation:Lacanlale, N. S. & Amparado, M. A. P. (2009, March). School Health Management Program of a University. 2009 Southwestern University Research Congress, 1(1), 23-25.


2021 ◽  
Author(s):  
Elizabeth Bailey ◽  
Samantha Nightingale ◽  
Nicky Thomas ◽  
Dawn Coleby ◽  
Toity Deave ◽  
...  

BACKGROUND Internationally, there is an increasing emphasis on early intervention in the first 1000 days to support pregnant mothers and optimise the health and development of newborns. To increase intervention reach, digital and app-based interventions have been advocated. This paper reports on the qualitative arm of the independent multicomponent evaluation of the Baby Buddy app, a pregnancy related app supported by several professional bodies and developed by a UK young child health and wellbeing charity Best Beginnings. OBJECTIVE To understand when, why and how first-time mothers use the Baby Buddy app and the perceived potential benefits. METHODS An Appreciative Inquiry (AI) qualitative approach was used with semi-structured interviews (n = 17) undertaken with pregnant mother either by telephone or in a focus group. Thematic analysis was used to synthesise the rich data and present findings. RESULTS Four over-riding themes were collated with regard to women’s use of the Baby Buddy app and its influence on interactions with health care professionals and family: Accessibility of information, Knowledge, Reassurance and Reliability, and Confidence. CONCLUSIONS The findings demonstrated a cyclical pattern between the emergent themes, which could provide a framework on which to support first-time mothers’ engagement with digital health management tools. CLINICALTRIAL NA INTERNATIONAL REGISTERED REPORT RR2-10.1017/S1463423618000294


For effective livestock management identification and control of parasites and bacteria is a challenging factor. Parasites, worms and bacteria has a huge hazard to the health of animals, which can harm the gastrointestinal tract, and result in decreased propagative routine, diminished development rates, less yield in terms of meat, fiber and milk, even leads to death of the animals, which in turn causing health problems for human society also. A proper knowledge of animal parasites by identification of them and application of the proper antibiotic or vaccine in appropriate dosage will improve the quality of the livestock and its byproducts leading to the more profits to the farmer. The livestock farms are located at the remote places and the communication between the veterinary doctor to the farmer is poor, took long time and expensive. This can be overcome by utilization of the digital technology and automation of the process which can be handled by a layman at the field to provide electronic information for both e-prescription for intermediate treatment and the information to the expert at the remote location for proper diagnosis and validation of the electronic prescription. Digital image processing of the microscopic pictures with high resolution cameras from the samples of the animals will provide a platform for automation of the process. The detection of the parasites and its stages can be done by denoising the images, segmentation of the parasites, templating the images for isolation of parasites and bacteria by comparing them with preloaded data of different types of parasites and their different stages leads to the identification of parasites, bacteria and giving the electronic prescription within a short period then the diagnosed report can be sent to the expert for validation.In the present paper the authors have proposed a smart system for telemonitoring and mobile health management system.


Author(s):  
Seungchul Lee ◽  
Harry Cui ◽  
Mohammad Rezvanizaniani ◽  
Jun Ni

Battery applications (computer, cell phones or even in cars) have been extensively used in our daily life. The reasons for their success and extensive usage in the real world applications are their light weight, smaller sizes and greater energy densities. These unique characteristics render this class of battery an ideal candidate for powering electrical vehicles. However, due to lack of battery information, often time we will observe machine down time, operation malfunctioning, and even some catastrophic failure due to fast battery degradation and depletion. Thus, much of the attention has been focused on prognostics and health management of battery technologies for the stated purpose. In this paper, we will present two main algorithms that cannot only estimate a one-step-ahead prediction of the battery state but also can estimate the battery remaining useful life. The first method is the linear prediction error method. The second approach is the neural network algorithms. Both methods can predict the battery information accurately. However, particular algorithm specializes in different area of interest.


Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.


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