Cargando…

Medicolite-Machine Learning-Based Patient Care Model

This paper discusses the machine learning effect on healthcare and the development of an application named “Medicolite” in which various modules have been developed for convenience with health-related problems like issues with diet. It also provides online doctor appointments from home and medicatio...

Descripción completa

Detalles Bibliográficos
Autores principales:	Khan, Rijwan, Srivastava, Akhilesh Kumar, Gupta, Mahima, Kumari, Pallavi, Kumar, Santosh
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808231/ https://www.ncbi.nlm.nih.gov/pubmed/35126501 http://dx.doi.org/10.1155/2022/8109147

Ejemplares similares

Machine Learning and IoT-Based Waste Management Model
por: Khan, Rijwan, et al.
Publicado: (2021)

Performance evaluation of regression models for COVID-19: A statistical and predictive perspective
por: Khan, Mohammad Ayoub, et al.
Publicado: (2022)

Machine learning-based predictive modelling for the enhancement of wine quality
por: Jain, Khushboo, et al.
Publicado: (2023)

Analysis of risk factors contributing to road traffic accidents in a tertiary care hospital. A hospital based cross-sectional study
por: Kumar, Sandip, et al.
Publicado: (2020)

Identification of Cardiac Patients Based on the Medical Conditions Using Machine Learning Models
por: Kumar, Krishna, et al.
Publicado: (2022)

Early Detection of Lung Nodules Using a Revolutionized Deep Learning Model
por: Srivastava, Durgesh, et al.
Publicado: (2023)

A Structured Analysis to study the Role of Machine Learning and Deep Learning in The Healthcare Sector with Big Data Analytics
por: Kumari, Juli, et al.
Publicado: (2023)

Efficient Automated Disease Diagnosis Using Machine Learning Models
por: Kumar, Naresh, et al.
Publicado: (2021)

Artificial intelligence to deep learning: machine intelligence approach for drug discovery
por: Gupta, Rohan, et al.
Publicado: (2021)

Machine learning quick reference: quick and essential machine learning hacks for training smart data models
por: Kumar, Rahul
Publicado: (2019)

Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learning
por: Roy, Shikha, et al.
Publicado: (2020)

A primary care–based patient centric palliative care model
por: Raina, Sunil Kumar, et al.
Publicado: (2019)

Brain tumor magnetic resonance images classification based machine learning paradigms
por: Pattanaik, Baby Barnali, et al.
Publicado: (2022)

Evidence-based effectiveness of herbal treatment modality for recurrent aphthous ulcers – A systematic review and meta-analysis
por: Srivastava, Adit, et al.
Publicado: (2021)

Projecting the criticality of COVID-19 transmission in India using GIS and machine learning methods
por: Khan, Farhan Mohammad, et al.
Publicado: (2021)

Serum Prolidase Activity, Oxidant and Antioxidant Status in Nonulcer Dyspepsia and Healthy Volunteers
por: Kumari, Shweta, et al.
Publicado: (2013)

Machine learning-based diffusion model for prediction of coronavirus-19 outbreak
por: Raheja, Supriya, et al.
Publicado: (2021)

Utilization of Dental Care, Tooth Loss, and Oral Health-Related Quality of Life in Older Adults Visiting Dental Care Centers in Indian Settings
por: Nayan, Kamal, et al.
Publicado: (2022)

Model-based machine learning
por: Bishop, Christopher M.
Publicado: (2013)

Sentiment Analysis and Comprehensive Evaluation of Supervised Machine Learning Models Using Twitter Data on Russia–Ukraine War
por: Wadhwani, Ganesh Kumar, et al.
Publicado: (2023)

Improving the Accuracy of Continuous Blood Glucose Measurement Using Personalized Calibration and Machine Learning
por: Kumari, Ranjita, et al.
Publicado: (2023)

Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides
por: Ali, Farman, et al.
Publicado: (2023)

Intron exon boundary junctions in human genome have in-built unique structural and energetic signals
por: Mishra, Akhilesh, et al.
Publicado: (2021)

A Machine Learning Model for Early Prediction and Detection of Sepsis in Intensive Care Unit Patients
por: Singh, Yash Veer, et al.
Publicado: (2022)

The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges
por: Ahmad, Amir, et al.
Publicado: (2020)

Context-based sentiment analysis on customer reviews using machine learning linear models
por: Chinnalagu, Anandan, et al.
Publicado: (2021)

Machine Learning Approach for Metabolic Syndrome Diagnosis Using Explainable Data-Augmentation-Based Classification
por: Sghaireen, Mohammed G., et al.
Publicado: (2022)

Artificial Intelligence/Machine Learning in Diabetes Care
por: Singla, Rajiv, et al.
Publicado: (2019)

Oncologist phenotypes and associations with response to a machine learning-based intervention to increase advance care planning: Secondary analysis of a randomized clinical trial
por: Li, Eric, et al.
Publicado: (2022)

Machine Learning Techniques for Human Age and Gender Identification Based on Teeth X-Ray Images
por: Santosh, K. C., et al.
Publicado: (2022)

A machine learning-based model to estimate PM2.5 concentration levels in Delhi's atmosphere
por: Kumar, Saurabh, et al.
Publicado: (2020)

Machine learning in the detection of dental cyst, tumor, and abscess lesions
por: Kumar, Vyshiali Sivaram, et al.
Publicado: (2023)

Reduction in the Rate of Mortality of Moderate to Severe COVID 19 Infected Patients with the use of Remdesivir - A Tertiary Care Hospital-Based Retrospective Observational Study
por: Lakhanpal, Mahima, et al.
Publicado: (2022)

An Intelligent Diabetic Patient Tracking System Based on Machine Learning for E-Health Applications
por: Menon, Sindhu P., et al.
Publicado: (2023)

Bone Cancer Detection Using Feature Extraction Based Machine Learning Model
por: Sharma, Ashish, et al.
Publicado: (2021)

Innovative Spectrum Handoff Process Using a Machine Learning-Based Metaheuristic Algorithm
por: Srivastava, Vikas, et al.
Publicado: (2023)

Text-Based Emotion Recognition Using Deep Learning Approach
por: Bharti, Santosh Kumar, et al.
Publicado: (2022)

Performances of Machine Learning Models for Diagnosis of Alzheimer’s Disease
por: Arjaria, Siddhartha Kumar, et al.
Publicado: (2022)

Problems in the deployment of machine-learned models in health care
por: Cohen, Joseph Paul, et al.
Publicado: (2021)

Machine learning-based prediction models for accidental hypothermia patients
por: Okada, Yohei, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_f2gb0p8lpuf66rlqu7i7vuca8q