MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

BACKGROUND: The nutrition screening tool determines whether or not a patient is at risk of malnutrition. Many organizations contributed to the form's design by researching various nutritional screening tools. OBJECTIVE: The purpose of this study is to analyse the different screening forms for the hospitalised geriatric patients to understand the nutritional status as well as the comorbidities. In addition, the study intends to identify the essential parameters from three nutrition screening forms-MUST,NRS-2002,MNA. The primary outcome is to identify the essential parameters from the screening form and calculating the nutrition risk score is considered a secondary outcome. METHODS: The research was done on geriatric patients who were admitted to the hospital from November 2019 to March 2020, suffering from comorbidities. The study comprises 192 hospitalized patients with an average age of 74 years including both genders. The patients' data was collected by a certified dietician to understand the essential parameters of these nutrition screening forms. The Pearson correlation test is used to find the correlation value between the screening form parameters. Based on the analysis, features with a correlation value greater than 0.5 with the nutrition score are considered a significant parameter for the research. RESULTS: The analysis of the nutrition screening strategy demonstrates the different significant parameters of the above three screening forms. The experimentation shows, the significant parameters are the Body Mass Index, impaired nutrition status, the severity of disease, mobility, mode of feeding, nutritional status, and weight loss score. CONCLUSIONS: The research is performed to understand the correlation between the screening form parameters MNA, MUST, NRS2002 using a non-invasive method and analyze the score in patients to improve health rates by using nutritional risk therapy and nutritional care for such patients. Nutrition therapy can be applied to patients suffering from malnutrition and at risk of malnutrition to improve the health of the patient. © 2022-IOS Press. All rights reserved.

School of Computer Engineering & Technology

Engineering and Technology

Mediterranean Journal of Nutrition and Metabolism

Analysis of Nutritional Risk Tools to Identify Essential Parameters in Assessing Nutritional Risk in Elderly Patients

It is a big challenge to assess and monitor the well-being of geriatric people due to the rise in the average population and keep track of their health status on a daily basis. Nutrition screening is a method used to find the nutrition risk in patients that can be improved by nutritional therapy. Nutrition screening strategy helps to evaluate the nutrition risk of patients which can be improved by nutritional therapy. There are different types of screening forms identified based on age group and hospital settings. The primary objective of the paper is to study the screening forms MUST, NRS-2002, and MNA to identify the correlation between the form parameters using statistical methods. The purpose of this study is to design a system to understand the nutritional status of the patient and identify patients that will be benefited from nutrition therapy. A classification algorithm of data mining is proposed to identify patients with comorbidities and hence suffering from malnutrition. It will help physicians to take the daily decision-making activities to prevent the events before occurring. The patients’ health care can be monitored by the use of devices like mobile applications by observing patients’ nutrition intake. The developed system helps to keep track of the geriatric patient’s health and improve the method of how dietician or practitioner delivers care when the patient is monitored remotely. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Smart Innovation, Systems and Technologies

Malnutrition Identification in Geriatric Patients Using Data Mining

The internet is a huge pool of data. It consists of various websites that provide numerous recipes and it becomes difficult for a person to manually search for a recipe based on the available ingredients daily. Inventory management is a difficult task because it is not feasible to keep track of every food ingredient. The objective of this paper is to provide an effective solution to manage inventory of the user using the Internet of Things (IoT) as well as recommending a recipe to the user using the available inventory. A recipe scoring algorithm that follows a collaborative filtering approach is proposed to score the recipes and the recipes that yield a higher score will be recommended to the user. This reduces the time and efforts of the user which makes the system more efficient and user-centric. © Springer Nature Singapore Pte Ltd 2021.

World University root node

Lecture Notes on Data Engineering and Communications Technologies

Iot based inventory management system with recipe recommendation using collaborative filtering

The NUTRIC score (Nutrition Risk in the Critically Ill) is a method designed to calculate the risk of critically ill patients developing adverse conditions that is likely be improved by optimal nutritional therapy. The objective of this study is to validate the NUTRIC score for aggressive nutrition therapy and identify critically ill patients that are most likely to benefit from macronutrients with an aim to improving mortality rate. A logistic model is proposed to identify the relationship between the observed parameters of NUTRIC score like age, APACHE II score, SOFA score and number of co-morbidities using statistical methods and further authenticate it. The relationship between these parameters is often aggravated in the ICU due to the hypermetabolic nature of critical illness. This care can be extended by use of IoT devices which may be wearable for monitoring patients health. It will help not only to keep track patient's health, but to improve how the physicians deliver care as well. New technology innovations can be leveraged in nutritional health care context to monitor patients remotely. © 2018 Association for Computing Machinery.

ACM International Conference Proceeding Series

Extending nutritional risk screening in critically ill patients using iot devices

In domain of data mining and machine learning, multi-label classification is widely studied research problem. The goal of multi-label classification is to predict the absence or presence certain labels of a particular applications those are associated with different classes. In this paper, IML-Forest method is presentedwith goal of improving the performance of multi-label classification over different types of datasets. IML-Forest is based on existing ML-Forest technique. In this paper the construction of set of hierarchical trees and designed the label transfer mechanism in order to identify multiple relevant labels in hierarchical way is proposedto solve the problem of label dependencies in multi label classification. Basically relevant labels at higher levels of trees capture the more discriminable label concepts; next they will be shifted at lower level nodes. From the hierarchy the relevant labels are further aggregated in order to compute the label dependency and make the classification prediction. The problem with ML-Forest method is that noise considerations not yet addressed as collected multi-label dataset may be noisy and imbalanced. This can degrade the performance of learning and accuracy. Noise reduction method is proposed on multi-label dataset to solve the problem of noisy and imbalanced dataset. In this paper the text noises related to low-level data errors are handled.

International Journal on Recent and Innovation Trends in Computing and Communication

Multi-Label Classification Using Noise Reduction Techniqueâ€

Data stream classification is a challenging task. For real-time, data concepts of instances keep varying with time, such as weather prediction or intrusion detection etc. Classification is a supervised technique to mine useful patterns from these real data. There is a need to mine knowledge from these large data streams with techniques those provide accurate results and memory efficient. Using a set of classifiers i.e. ensemble classifier than a single one, proves to be more efficient. In this paper, Revised Accuracy Updated Ensemble(RAUE) classifier algorithm is proposed. In this algorithm, the data streams are processed in blocks. The ensemble used in RAUE uses Hoeffding Option Trees(HOT) as basic classifier set. The experimental evaluation and comparison of the proposed RAUE with existing ensemble algorithms is carried out. Out of all the compared algorithms, RAUE shows increase in accuracy and also uses less memory for identifying class labels for instances.

International Journal of Emerging Technologies in Computationaland Applied Sciences (IJETCAS)

DATA STREAM CLASSIFICATION THROUGH ENSEMBLE CLASSIFIER USING HOEFFDING OPTION TREES

The concept changes in continuously evolving data streams are termed as concept drifts. It is required to address the problems caused due to concept drift and adapt according to the concept changes. This can be achieved by designing supervised or unsupervised techniques in such a way, that concept changes are considered, and useful knowledge is extracted. This paper discusses various techniques to manage concept drifts. The synthetic and real datasets with different concept drifts and the applications are discussed.