The Gut Flora-Centric Theory Based on the New Medical Hypothesis of “Hunger Sensation Comes from Gut Flora”: A New Model for Understanding the Etiology of Chronic Diseases in Human Beings

2018 ◽  
Vol 3 (3) ◽  
Author(s):  
Zhang C
Keyword(s):  
Chronic Diseases ◽  
Human Beings ◽  
Gut Flora ◽  
New Model ◽  
Medical Hypothesis ◽  
Hunger Sensation

An Epidemic Avian Influenza Prediction Model Based on Google Trends

2019 ◽  
Vol 16 (4) ◽  
pp. 303-310 ◽  
Author(s):  
Yi Lu ◽  
Shuo Wang ◽  
Jianying Wang ◽  
Guangya Zhou ◽  
Qiang Zhang ◽  
...  
Keyword(s):  
Linear Regression ◽  
Avian Influenza ◽  
Prediction Model ◽  
Multiple Linear Regression ◽  
Google Trends ◽  
Health Providers ◽  
Human Beings ◽  
Success Rates ◽  
New Model ◽  
Regression Approach

The occurrence of epidemic avian influenza (EAI) not only hinders the development of a country's agricultural economy, but also seriously affects human beings’ life. Recently, the information collected from Google Trends has been increasingly used to predict various epidemics. In this study, using the relevant keywords in Google Trends as well as the multiple linear regression approach, a model was developed to predict the occurrence of epidemic avian influenza. It was demonstrated by rigorous cross-validations that the success rates achieved by the new model were quite high, indicating the predictor will become a very useful tool for hospitals and health providers.

A new model for chronic diseases

2018 ◽  
Vol 113 ◽  
pp. 30-39 ◽  
Author(s):  
S.D. Sara Diani
Keyword(s):  
Chronic Diseases ◽  
New Model

scholarly journals Evolution of Experience of Care of Patients with and without Chronic Diseases following a Québec Primary Healthcare Reform

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Raynald Pineault ◽  
Roxane Borgès Da Silva ◽  
Sylvie Provost ◽  
Mylaine Breton ◽  
Pierre Tousignant ◽  
...  
Keyword(s):  
Chronic Diseases ◽  
Patient Experience ◽  
Primary Healthcare ◽  
The Other ◽  
New Model ◽  
Care Services ◽  
Experience Of Care ◽  
Primary Care Services ◽  
Use Of Services ◽  
Perceived Outcomes

Objectives. To assess the extent to which new primary healthcare (PHC) models implemented in two regions of Quebec have improved patient experience of care, unmet needs, and use of services for individuals with and without chronic diseases, compared with other forms of PHC practices.Methods. In 2005 and 2010, we carried out population and organization surveys. We divided PHC organizations into new model practices and other practices and followed the evolution over time of patient experience of care.Results. Patients with chronic diseases had better accessibility but worse continuity of care in the new model practices than in the other practices at both time periods. Through the reform, accessibility decreased evenly in both groups, but continuity and perceived outcomes improved more in the other practices. Use of primary care services decreased more in the new model practices. Among patients without chronic disease, accessibility decreased much less in the new models and responsiveness increased more. There was no significant change in ER attendance and hospitalization.Conclusion. The evolution of patient experience of care has been more favorable for patients without chronic diseases. These findings raise concerns about equity since the aim of the PHC reform was targeting in priority individuals with the greatest needs.

scholarly journals Palliative Care in Turkish Medical History

2021 ◽  
Author(s):  
Alparslan Koç
Keyword(s):  
Palliative Care ◽  
Social Structure ◽  
Medical History ◽  
Chronic Diseases ◽  
Social Life ◽  
Modern Medicine ◽  
Human Beings ◽  
Quality Life ◽  
Medicine Today ◽  
The Moment

From the moment that human beings begin perceiving the value of life, they have also started to strive for the continuation of life. It would not be wrong to divide Turkish societies into three parts as sociological history. Turkish social life before Islam, the differences in the social structure with Islam, and Europe's social structure with the westernization influx with the end of the 19th century can be examined. Health system and patient care was also greatly affected by these processes. Health care, which was carried on with Shamanism and Herbalism in the old Turkish states and continued with bimarhanes and darüssifas, and health professionals have been mobilized to serve the society with the opportunities of modern medicine today. Acute and chronic diseases that occur with the continuation of life make it difficult to lead a quality life. This process can sometimes be painful. Palliative care is also useful in chronic diseases whose mortality has decreased with successful treatment methods recently applied, but which impairs the quality of life due to the disease. Thus, this process, which puts the patient's relatives psychologically, socially, and financially difficult, and the patient, can be managed more easily. Although it started with reducing and caring for cancer patients' pain, palliative care has now become a necessity in all areas of clinical practice. Our aim in this review is to examine the development process of the concept of palliative care in Turkish medical history.

A NOVEL MODEL FOR RUMOR SPREADING ON SOCIAL NETWORKS WITH CONSIDERING THE INFLUENCE OF DISSENTING OPINIONS

2018 ◽  
Vol 21 (06n07) ◽  
pp. 1850011 ◽  
Author(s):  
AMIRHOSEIN BODAGHI ◽  
SAMA GOLIAEI
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Realistic Model ◽  
The Novel ◽  
Human Beings ◽  
Rumor Spreading ◽  
New Model ◽  
Sociological Factors ◽  
Novel Model ◽  
New Hypothesis

Rumor spreading is a good sample of spreading in which human beings are the main players in the spreading process. Therefore, in order to have a more realistic model of rumor spreading on online social networks, the influence of psycho-sociological factors particularly those which affect users’ reactions toward rumor/anti-rumor should be considered. To this aim, we present a new model that considers the influence of dissenting opinions on those users who have already believed in rumor/anti-rumor but have not spread the rumor/anti-rumor yet. We hypothesize that influence is a motive for the believers to spread their beliefs in rumor/anti-rumor. We derive the stochastic equations of the new model and evaluate it by using two real datasets of rumor spreading on Twitter. The evaluation results support the new hypothesis and show that the novel model which is relied on the new hypothesis is able to better represent rumor spreading.

Gut Microbiota: In Dynamics of Life and Homoeopathy

2020 ◽  
Author(s):  
Eiphrangdaka L. Suchiang ◽  
Deepak Kumar ◽  
Shabana Yeasmin ◽  
Monisha Singh ◽  
James Michael ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Chronic Diseases ◽  
Human Microbiome ◽  
Human Microbiome Project ◽  
Present Review ◽  
Human Beings ◽  
Art And Science ◽  
Health And Disease ◽  
Therapeutic Measures ◽  
Micro Organisms

AbstractThe Human Microbiome Project (HMP) launched in 2008 by the National Institute of Health (NIH) fascinated microbiologists with discoveries of micro-organisms inside and outside of human beings. Their correlation with health and disease brings a new insight to preventive and therapeutic measures. At present, focus is more on the micro-organisms residing in the gut and various factors capable of altering their composition. The conclusion made by Dr. Edward Bach regarding the ability of homoeopathic potencies to alter bowel flora and its relation with chronic diseases was investigated and experimented way back. The present review attempts to correlate gut microbiota with the art and science of homoeopathy.

scholarly journals Active status on phytochemistry and pharmacology of Pergularia daemia Forsk. (Trellis-vine): a review

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Devanesan Arul Ananth ◽  
Garlapati Deviram ◽  
Vijayaraghavan Mahalakshmi ◽  
V. Ratna Bharathi
Keyword(s):  
Medicinal Plants ◽  
Chronic Diseases ◽  
Molecular Mechanisms ◽  
Human Beings ◽  
Pharmacological Activities ◽  
Pubmed Central ◽  
Synthetic Drugs ◽  
Anti Cancer

Abstract Background Medicinal plants play a significant role in the progress of persuasive therapeutic agents. Earlier to the innovation of synthetic drugs, human beings completely relied on the plants for the treatment of various ailments. Natural product extracts, particularly those derived from different plant species, provided the main source of Siddha, Ayurveda and Folk medicines. P. daemia is a perennial climber, traditionally reported for the treatment in a variety of diseases. In present review, we focused on the present status of phytochemical and pharmacological activities P. daemia. Methodology With the support of electronic databases such as Science Direct, Google Scholar, Mendeley, Scirus and PubMed central. Traditional knowledge information collected by Indian taxonomical books, survey from local rural and tribal peoples. Pharmacological data’s obtained from scientific journals published from 2000 to 2020. Results P. daemia extract, contains several phytochemicals, especially rich in flavonoids. These secondary metabolites synthesized from P. daemia have been reported for the treatment of various chronic diseases. In recent years, P. daemia phytoconstituents set as a key role in natural drug development as it harbours many in vitro and in vivo pharmacological activities such as anti-inflammatory, anti-cancer, anti-fertility, anti-arthritic and antimicrobial etc., Conclusion P. daemia was the less studied plant compared to other medicinal plants. In this context more emphasis has to be laid on studies that discuss on the secondary metabolite activities and molecular mechanisms that work against various chronic diseases.

scholarly journals Integrated Prediction System for Chronic Disease Diagnosis to Ensure Better Healthcare

2020 ◽  
pp. 25-39
Author(s):  
Geetha Poornima K. ◽  
Krishna Prasad K.
Keyword(s):  
Health Care ◽  
Chronic Disease ◽  
Chronic Diseases ◽  
Predictive Analytics ◽  
Disease Diagnosis ◽  
Exercise Stress ◽  
Healthcare Sector ◽  
Human Beings ◽  
Healthcare Data ◽  
Using Data

Technology innovation has made life easy for human beings. Technology is being used everywhere. This also extends to the healthcare sector. The healthcare sector produces a large amount of data each minute. Because of privacy issues, much of the data generated is not used and is not publicly accessible. Healthcare data comes from diverse sources hence it will be always varied in nature. Keeping track of such data has become much easier these days. Predictive analysis in healthcare is an emerging technology that identifies the person with poor health where the risks of developing chronic conditions are more likely and provide better solutions in the field of healthcare. Statistical methods and algorithms can be used to predict the disease before the actual symptoms are revealed in humans. By using data analytics algorithms one can easily predict chronic diseases such as obesity, high/low Blood Pressure, diabetes, asthma, cardiopulmonary disorders. Because of an unhealthy diet, lack of proper exercise, stress, consumption of tobacco, alcohol, etc. chronic diseases are most common these days. If the symptoms of chronic diseases are detected in the early stages, there will be less risk of hospitalization by cost-effectively maintaining better health. Big data analysis and health care can be mixed to produce accurate results. The application of predictive analytics in healthcare is highlighted in this paper. It provides a broader analysis in the prevention of different chronic diseases by using predictive analytics. The paper also includes various issues that arise when handling health care data. For each chronic disease, diverse models, techniques, and algorithms are used for predicting and analyzing. The paper comprises a conceptual model that integrates the prediction of most common chronic diseases

Sign in / Sign up

Export Citation Format

Share Document