Cargando…

Predicting Health Material Accessibility: Development of Machine Learning Algorithms

BACKGROUND: Current health information understandability research uses medical readability formulas to assess the cognitive difficulty of health education resources. This is based on an implicit assumption that medical domain knowledge represented by uncommon words or jargon form the sole barriers t...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ji, Meng, Liu, Yanmeng, Hao, Tianyong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2021
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444043/ https://www.ncbi.nlm.nih.gov/pubmed/34468321 http://dx.doi.org/10.2196/29175

Ejemplares similares

Correction: Predicting Health Material Accessibility: Development of Machine Learning Algorithms
por: Ji, Meng, et al.
Publicado: (2021)

Predicting Writing Styles of Web-Based Materials for Children’s Health Education Using the Selection of Semantic Features: Machine Learning Approach
por: Xie, Wenxiu, et al.
Publicado: (2021)

Use of Machine Learning Algorithms to Predict the Understandability of Health Education Materials: Development and Evaluation Study
por: Ji, Meng, et al.
Publicado: (2021)

Predicting the Easiness and Complexity of English Health Materials for International Tertiary Students With Linguistically Enhanced Machine Learning Algorithms: Development and Validation Study
por: Xie, Wenxiu, et al.
Publicado: (2021)

Predicting the Linguistic Accessibility of Chinese Health Translations: Machine Learning Algorithm Development
por: Ji, Meng, et al.
Publicado: (2021)

Predicting Risks of Machine Translations of Public Health Resources by Developing Interpretable Machine Learning Classifiers
por: Xie, Wenxiu, et al.
Publicado: (2021)

Developing Machine Learning and Statistical Tools to Evaluate the Accessibility of Public Health Advice on Infectious Diseases among Vulnerable People
por: Xie, Wenxiu, et al.
Publicado: (2021)

Machine Learning Prediction of Hypoglycemia and Hyperglycemia From Electronic Health Records: Algorithm Development and Validation
por: Witte, Harald, et al.
Publicado: (2022)

Machine Learning Prediction of Foodborne Disease Pathogens: Algorithm Development and Validation Study
por: Wang, Hanxue, et al.
Publicado: (2021)

Probabilistic Prediction of Nonadherence to Psychiatric Disorder Medication from Mental Health Forum Data: Developing and Validating Bayesian Machine Learning Classifiers
por: Ji, Meng, et al.
Publicado: (2022)

A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study
por: Allen, Angier, et al.
Publicado: (2020)

Predicting Breast Cancer in Chinese Women Using Machine Learning Techniques: Algorithm Development
por: Hou, Can, et al.
Publicado: (2020)

Detecting Symptom Errors in Neural Machine Translation of Patient Health Information on Depressive Disorders: Developing Interpretable Bayesian Machine Learning Classifiers
por: Xie, Wenxiu, et al.
Publicado: (2021)

Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study
por: Sena, Gabrielle Ribeiro, et al.
Publicado: (2019)

Machine Learning Model to Predict Assignment of Therapy Homework in Behavioral Treatments: Algorithm Development and Validation
por: Peretz, Gal, et al.
Publicado: (2023)

Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models
por: Alanazi, Eman M, et al.
Publicado: (2021)

Development of Prediction Models Using Machine Learning Algorithms for Girls with Suspected Central Precocious Puberty: Retrospective Study
por: Pan, Liyan, et al.
Publicado: (2019)

Developing Machine-Learning Prediction Algorithm for Bacteremia in Admitted Patients
por: Mahmoud, Ebrahim, et al.
Publicado: (2021)

Using Machine Learning to Predict Early Preparation of Pharmacy Prescriptions at PSMMC - a Comparison of Four Machine Learning Algorithms
por: Alhorishi, Nora, et al.
Publicado: (2021)

Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms With Electronic Health Records
por: Alhassan, Zakhriya, et al.
Publicado: (2021)

A Machine Learning Approach for the Prediction of Testicular Sperm Extraction in Nonobstructive Azoospermia: Algorithm Development and Validation Study
por: Bachelot, Guillaume, et al.
Publicado: (2023)

Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach
por: Akour, Iman, et al.
Publicado: (2021)

Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation
por: Yang, Hao, et al.
Publicado: (2022)

Predicting access to healthful food retailers with machine learning()
por: Amin, Modhurima Dey, et al.
Publicado: (2021)

Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation
por: Zhao, Yiqing, et al.
Publicado: (2021)

Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study
por: Maarseveen, Tjardo D, et al.
Publicado: (2020)

Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study
por: Mufti, Hani Nabeel, et al.
Publicado: (2019)

The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study
por: He, Fang, et al.
Publicado: (2022)

Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation
por: Ng, Ada, et al.
Publicado: (2022)

Prediction model of laparoendoscopic single-site surgery in gynecology using machine learning algorithm
por: Ma, Jun, et al.
Publicado: (2021)

Comparison of the Validity and Generalizability of Machine Learning Algorithms for the Prediction of Energy Expenditure: Validation Study
por: O'Driscoll, Ruairi, et al.
Publicado: (2021)

Predicting the Development of Surgery-Related Pressure Injury Using a Machine Learning Algorithm Model
por: CAI, Ji-Yu, et al.
Publicado: (2020)

Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study
por: Maeta, Katsutoshi, et al.
Publicado: (2018)

Development, Implementation, and Evaluation of a Personalized Machine Learning Algorithm for Clinical Decision Support: Case Study With Shingles Vaccination
por: Chen, Ji, et al.
Publicado: (2020)

Development and application of a machine learning algorithm for classification of elasmobranch behaviour from accelerometry data
por: Brewster, L. R., et al.
Publicado: (2018)

Automatic Structuring of Ontology Terms Based on Lexical Granularity and Machine Learning: Algorithm Development and Validation
por: Luo, Lingyun, et al.
Publicado: (2020)

Detection of Low Back Physiotherapy Exercises With Inertial Sensors and Machine Learning: Algorithm Development and Validation
por: Alfakir, Abdalrahman, et al.
Publicado: (2022)

Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study
por: Wang, Sabrina M, et al.
Publicado: (2023)

Supervised Algorithms of Machine Learning for the Prediction of Cervical Cancer
por: F., Asadi, et al.
Publicado: (2020)

Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-Arrivals
por: Coppa, Kevin, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_jis3agbbel8hame1n7048aaatk