scholarly journals Diabetes Risk Forecasting Using Logistic Regression

2021 ◽  
Author(s):  
Metharani N ◽  
Srividya R ◽  
Rekha G ◽  
Ranjith Kumar V
Keyword(s):  
Logistic Regression ◽  
Medical Care ◽  
Eating Habits ◽  
Large Datasets ◽  
Human Beings ◽  
Risk Forecasting ◽  
Healthcare Monitoring ◽  
Data Investigation ◽  
Present Life ◽  
Inherited Diabetes

Diabetes can be a collection of metabolic problems and lots of human beings are affected. Diabetes Mellitus can be caused by a variety of factors including age, stoopedness, lack of activity, inherited diabetes, lifestyle, poor eating habits, hypertension, and so on. Diabetics are more likely to develop diseases like coronary illness, kidney contamination, eye sickness, stroke and other risks. Distributed computing and Internet of Things (IoT) are two instruments that assume a vital part in the present life with respect to numerous angles and purposes including medical care observing of patients and old society. Diabetes Healthcare Monitoring Services are vital these days on the grounds that and that to distant medical care observing in light of the fact that truly going to clinics and remaining in a line is exceptionally ineffectual adaptation of patient checking. Current practice in emergency clinic is to gather required data for diabetes conclusion through different tests and proper treatment is given dependent on analysis. Utilizing enormous data investigation can consider large datasets and discover covered up data, uncertain examples to find information from the data and expect the outcome as demand. Diabetics are caused because of a tremendous uphill in the blood partition containing glucose. There is an advancement conspire accessible using train test split and K overlay cross approval utilizing Scikit learn technique. Various ML algorithms consisting of SVM, RF, KNN, NB, Decision Tree and Logistic Regression are also used.

scholarly journals Smart Wearable Sensors Based on Triboelectric Nanogenerator for Personal Healthcare Monitoring

Micromachines ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 352
Author(s):  
Ruonan Li ◽  
Xuelian Wei ◽  
Jiahui Xu ◽  
Junhuan Chen ◽  
Bin Li ◽  
...  
Keyword(s):  
Medical Care ◽  
Health Monitoring ◽  
Wearable Sensors ◽  
The Elderly ◽  
The Body ◽  
Assessment System ◽  
Triboelectric Nanogenerator ◽  
Personal Healthcare ◽  
Healthcare Monitoring ◽  
Smart Wearable

Accurate monitoring of motion and sleep states is critical for human health assessment, especially for a healthy life, early diagnosis of diseases, and medical care. In this work, a smart wearable sensor (SWS) based on a dual-channel triboelectric nanogenerator was presented for a real-time health monitoring system. The SWS can be worn on wrists, ankles, shoes, or other parts of the body and cloth, converting mechanical triggers into electrical output. By analyzing these signals, the SWS can precisely and constantly monitor and distinguish various motion states, including stepping, walking, running, and jumping. Based on the SWS, a fall-down alarm system and a sleep quality assessment system were constructed to provide personal healthcare monitoring and alert family members or doctors via communication devices. It is important for the healthy growth of the young and special patient groups, as well as for the health monitoring and medical care of the elderly and recovered patients. This work aimed to broaden the paths for remote biological movement status analysis and provide diversified perspectives for true-time and long-term health monitoring, simultaneously.

scholarly journals Study on the relationship of depression, anxiety, lifestyle and eating habits with the severity of reflux esophagitis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rongxin Wang ◽  
Jing Wang ◽  
Shuiqing Hu
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Reflux Esophagitis ◽  
Eating Habits ◽  
Positive Correlation ◽  
Relationship Of ◽  
The Relationship

Abstract Background The etiology of reflux esophagitis (RE) is multi-factorial. This study analyzed the relationship of depression, anxiety, lifestyle and eating habits with RE and its severity and further explored the impact of anxiety and depression on patients’ symptoms and quality of life. Methods From September 2016 to February 2018, a total of 689 subjects at Xuanwu Hospital Capital Medical University participated in this survey. They were divided into the RE group (patients diagnosed with RE on gastroscopy, n = 361) and the control group (healthy individuals without heartburn, regurgitation and other gastrointestinal symptoms, n = 328). The survey included general demographic information, lifestyle habits, eating habits, comorbidities, current medications, the gastroesophageal reflux disease (GERD) questionnaire (GerdQ), the Patient Health Questionnaire-9 depression scale and the General Anxiety Disorder-7 anxiety scale. Results The mean age and sex ratio of the two groups were similar. Multivariate logistic regression analysis identified the following factors as related to the onset of RE (p < 0.05): low education level; drinking strong tea; preferences for sweets, noodles and acidic foods; sleeping on a low pillow; overeating; a short interval between dinner and sleep; anxiety; depression; constipation; history of hypertension; and use of oral calcium channel blockers. Ordinal logistic regression analysis revealed a positive correlation between sleeping on a low pillow and RE severity (p = 0.025). Depression had a positive correlation with the severity of symptoms (rs = 0.375, p < 0.001) and patients’ quality of life (rs = 0.306, p < 0.001), whereas anxiety showed no such association. Conclusions Many lifestyle factors and eating habits were correlated with the onset of RE. Notably, sleeping on a low pillow was positively correlated with RE severity, and depression was positively related to the severity of symptoms and patients’ quality of life.

scholarly journals Distance: how mobility gives rise to paradoxes in (re)constructing food identity

2020 ◽  
Vol 3 (1) ◽  
pp. 01-10
Author(s):  
Selma Tozanli
Keyword(s):  
Eating Habits ◽  
Human Beings ◽  
Host Countries ◽  
Host Culture ◽  
Migrant Populations ◽  
Acculturation Process ◽  
Process Work ◽  
Food Identity ◽  
Country Specific

The authors base their research on observations and in the literature concerning different forms of mobility of human beings and food products, distances and territorial anchoring. They continue by addressing the paradoxes in acculturation processes that occur during identity (re)construction in food consumption and eating habits. They focus on the role of cross-border migration, in the spreading of genuine country-specific products and/or local food specialties of migrant populations in their host countries. What are the different definitions of the distance/s between the migrant and his home country and the host culture? What role does the migrant play in the spreading of these eating habits? How does the acculturation process work? What different forms of territorial anchoring account the spreading of these genuine country-specific foods?

Role of takrasevan in agnimandya - a review.

2019 ◽  
Vol 7 (4) ◽  
Author(s):  
Poonam Bharat Mandhare ◽  
Deepa R. Kale
Keyword(s):  
Eating Habits ◽  
Well Being ◽  
Daily Basis ◽  
Treatment Modalities ◽  
Human Beings ◽  
Diet And Exercise ◽  
Life Threatening ◽  
Almost All ◽  
Modern Era

Background: Our health and overall well-being mainly depends on our eating habits, physical activities, sleep patterns etc. Human beings, in order to adjust themselves in the modern era, have been compiled to become fast and mechanical. Due to this they can’t give proper attention to diet and exercise. Due to this Aaharpachan Kriya gets affected leading to Agnimandya (low or decreased digestive power). According to Ayurveda Agnimandya is responsible for almost all diseases. Objectives: Objective is to study importance of Takrasevan in Agnimandya.  Material and methods: Ayurvedic / modern texts and literature, research paper. Discussion: Grahani, Atisar, Arsh etc. are the commonest diseases seen in today’s life.  These diseases are not life threatening but can cause great distress to patient.  Ayurveda gave an amount of treatment modalities; one of them is Takrasevan i. e. consumption of buttermilk. Takra having ushna virya, kashaya rasa, madhur vipak and ruksha guna properties which pacifies Vata, Pitta, Kapha and potentiate the Agni and digests as well as absorbs the food articles and treats the disease in generous way. Conclusion: By this study it can be conclude that Takra (Buttermilk) can use on daily basis as dietary product. As it contains Probiotics which facilitates proper digestion and absorption process, it maintains proper metabolism to keep person free from diseases.   

Attitudes to Living and Working in Pandemic Conditions among Emergency Prehospital Medical Care Personnel

2010 ◽  
Vol 25 (1) ◽  
pp. 13-19 ◽  
Author(s):  
Kerrianne Watt ◽  
Vivienne C. Tippett ◽  
Steven G. Raven ◽  
Konrad Jamrozik ◽  
Michael Coory ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Avian Influenza ◽  
Medical Care ◽  
Risk Perceptions ◽  
Influenza Pandemic ◽  
Care Staff ◽  
Care Providers ◽  
Apparent Lack ◽  
Infection Transmission ◽  
Prehospital Medical Care

AbstractIntroduction:Little is known about the risk perceptions and attitudes of healthcare personnel, especially of emergency prehospital medical care personnel, regarding the possibility of an outbreak or epidemic event.Problem:This study was designed to investigate pre-event knowledge and attitudes of a national sample of the emergency prehospital medical care providers in relation to a potential human influenza pandemic, and to determine predictors of these attitudes.Methods:Surveys were distributed to a random, cross-sectional sample of 20% of the Australian emergency prehospital medical care workforce (n = 2,929), stratified by the nine services operating in Australia, as well as by gender and location. The surveys included: (1) demographic information; (2) knowledge of influenza; and (3) attitudes and perceptions related to working during influenza pandemic conditions. Multiple logistic regression models were constructed to identify predictors of pandemic-related risk perceptions.Results:Among the 725 Australian emergency prehospital medical care personnel who responded, 89% were very anxious about working during pandemic conditions, and 85% perceived a high personal risk associated with working in such conditions. In general, respondents demonstrated poor knowledge in relation to avian influenza, influenza generally, and infection transmission methods. Less than 5% of respondents perceived that they had adequate education/training about avian influenza. Logistic regression analyses indicate that, in managing the attitudes and risk perceptions of emergency prehospital medical care staff, particular attention should be directed toward the paid, male workforce (as opposed to volunteers), and on personnel whose relationship partners do not work in the health industry.Conclusions:These results highlight the potentially crucial role of education and training in pandemic preparedness. Organizations that provide emergency prehospital medical care must address this apparent lack of knowledge regarding infection transmission, and procedures for protection and decontamination. Careful management of the perceptions of emergency prehospital medical care personnel during a pandemic is likely to be critical in achieving an effective response to a widespread outbreak of infectious disease.

scholarly journals Perceptions, Fast Food Consumption and Eating Habits Among Students Belonging to the Allied Health Sciences

2021 ◽  
Vol 5 (2) ◽  
pp. OR7-OR11
Author(s):  
Reena R. Prasad ◽  
Hukam Chand ◽  
Mohd. Zaid
Keyword(s):  
Logistic Regression ◽  
Food Consumption ◽  
Fast Food ◽  
Allied Health ◽  
Eating Habits ◽  
Health Sciences ◽  
P Value ◽  
Multiple Logistic Regression ◽  
Fast Food Consumption ◽  
Significant Difference

INTRODUCTION: The present generation is the most frequently targeted consumers for the fast food marketers and can lead to various health related disorders in them.AIM: To assess the perceptions, fast food consumption and eating habits among students belonging to the allied health sciences in various corners of  India.MATERIALS AND METHOD: The study was an online, questionnaire based, cross-sectional study. The questionnaire was in English language, was pre-tested on 50 students and validated accordingly. The questionnaire was based on a 5-point Likert-type scale [(1) strongly disagree, (2) disagree, (3) neutral, (4) agree, and (5) Strongly agree]; had 19 questions and required approximately four minutes for completion. Data was analysed using SPSS version 21.0 and the student’s t-test and multiple logistic regression was applied keeping the p value as 0.05.RESULTS: The study comprised of 1020 complete responses; out which males formed a majority (52.3%) and most students belonged to the 2nd year of their study (49.1). High mean ± SD scores pertaining to perception  were obtained in four questions. While assessing the eating habits, high mean ± SD scores were obtained in three questions. Multiple logistic regression based on gender revealed that females has a significant difference on both perception (0.01) and consumption(p-0.03) habits in relation to fast food as compared to males, while the year of study was significantly associated with the food consumption habits (p=0.01) of the students.CONCLUSION: Universities and institutions need to educate and motivate students on the importance of healthy eating to reduce the burden of disease among such students.

scholarly journals Influence of Past on Present: A Naturalistic Study of Ghosts

The Batuk ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 55-66
Author(s):  
Arjun Dev Bhatta
Keyword(s):  
Genetic Transformation ◽  
Human Life ◽  
External Environment ◽  
Point Of View ◽  
Naturalistic Study ◽  
Human Beings ◽  
Philosophy Of Life ◽  
The Past ◽  
Present Life

This article analyzes and evaluates Henrik Ibsen’s most controversial drama “Ghosts” from naturalistic point of view. Naturalism views human life in relation to internal and external environment. It insists on the effect of the past that shapes the present life of human beings. Based on this philosophy of life, this article examines how the life of the leading characters Mrs. Alving and her son Oswald has been influenced. Mrs. Alving’s present values and views on life have a concern with conventional and religious past whereas Oswald’s philosophy of life is guided and governed by his dead father. This article also shows heredity and genetic transformation are biological facts that affect human life. Thus, the object of this article is to explore how human beings are controlled by the inescapable past.

scholarly journals Diabetes Prediction Using Machine Learning

2021 ◽  
pp. 487-493
Author(s):  
Abhishek Ballewar ◽  
Yashoneel Shukla ◽  
Ronel Yumnam ◽  
Ahamed Shihan ◽  
Umakant Mandawkar
Keyword(s):  
Machine Learning ◽  
Medical Care ◽  
Support Vector ◽  
Diabetic Patients ◽  
Learn Strategy ◽  
Programming Techniques ◽  
Diabetes Prediction ◽  
Human World ◽  
Coronary Failure ◽  
Present Life

Diabetes has developed as one the riskiest danger to the human world. Many are turning into its casualties and can't emerge from it paying little heed to the way that they are attempting to stay away from it for becoming further. Distributed computing and Internet of Things (IoT) are two devices that assume a vital part in the present life with respect to numerous perspectives and purposes including medical care checking of patients and older society. Diabetes Medical care Checking Administrations are vital these days on the grounds that and that too far off medical care checking in light of the fact that actually going to emergency clinics and remaining in a line is exceptionally incapable rendition of patient observing. On the off chance that a patient has exceptionally constant diabetes and he spends his/her time remaining in a line anything perilous can happen to him/her at any occasion of time. Thus, this paper concocted shrewd sensors and distinctive machine learning calculations like xgboost calculation, arbitrary woods. Diabetes can likewise go about as a implies for different infections like coronary failure, kidney harm and fairly visual impairment. This paper can utilize different AI calculations, for example, support vector machine, straight relapse, choice tree, xgboost and arbitrary woods with the assistance of which can without much of a stretch discover the all-out effectiveness and precision of foreseeing that a human will experience the ill effects of diabetes or not. There are differently numerous customary strategies which are entirely unexpected from programming techniques that can analyse diabetes and anticipate pre states of diabetic patients. Diabetics is caused because of a tremendous uphill in the blood divide containing glucose. There is an advancement plot accessible using train test split and K overlap cross approval utilizing Sklit learn strategy.

scholarly journals Adherence to Mediterranean Diet among Students from Primary and Middle School in the Province of Taranto, 2016–2018

2020 ◽  
Vol 17 (15) ◽  
pp. 5437
Author(s):  
Guglielmo Bonaccorsi ◽  
Federica Furlan ◽  
Marisa Scocuzza ◽  
Chiara Lorini
Keyword(s):  
Logistic Regression ◽  
Nutritional Status ◽  
Mediterranean Diet ◽  
Eating Habits ◽  
Economic Status ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Predictive Role ◽  
The Mediterranean

The Mediterranean diet represents one of the healthiest dietary patterns, but nowadays it is increasingly being ignored in schools and by families. The aim of this study is to assess the adherence to the Mediterranean diet by pupils living in a small Southern Italian municipality, and whether it is a predictor of nutritional status.The degree of adherence to the Mediterranean diet, the socio-economic status and the nutritional status of 314 students (6–14 years) were tested during the 2016/2017 and 2017/2018 school years with the help of a questionnaire comprising the Mediterranean Diet Quality Index for Children and Adolescents (KIDMED) test. Multivariate logistic regression analysis was used to assess the predictive role of the KIDMED score and the other variables with respect to nutritional status. Adherence to the Mediterranean diet is high, medium and poor in, respectively, 24.8, 56.4 and 18.8% of students; it varies depending on gender and age, with females and older students showing higher values. In the multivariate logistic regression model, sex and KIDMED level are become significant predictors of nutritional status. This study highlights the need for intervention in the form of school projects—also involving families—to promote healthier eating habits in younger generations.

Sign in / Sign up

Export Citation Format

Share Document