• Our Partners
  • CarePolicy
  • HomeCareConsulting
  • Digit9X
  • Home
  • Assisted Living
  • Elderly
  • Home Care Agency
  • Home Care Worker
  • Home Nursing
Menu
  • Home
  • Assisted Living
  • Elderly
  • Home Care Agency
  • Home Care Worker
  • Home Nursing
Home » AI based predictive acceptability model for effective vaccine delivery in healthcare systems
Home Care Worker

AI based predictive acceptability model for effective vaccine delivery in healthcare systems

adminBy adminNovember 4, 2024No Comments9 Mins Read
Facebook Twitter Pinterest Telegram LinkedIn Tumblr Email Reddit
Share
Facebook Twitter LinkedIn Pinterest Email Copy Link


Imran, H. et al. Routine immunization in Pakistan: comparison of multiple data sources and identification of factors associated with vaccination. Int. Health. 10, 84–91 (2018).

Article 
PubMed 
PubMed Central 

Google Scholar 

Noh, J. W. et al. Factors affecting complete and timely childhood immunization coverage in Sindh, Pakistan; a secondary analysis of cross-sectional survey data. PloS One. 13, e0206766 (2018).

Article 
PubMed 
PubMed Central 

Google Scholar 

Graffigna, G., Palamenghi, L., Barello, S. & Stefania, B. Cultivating acceptance of a COVID-19 vaccination program: lessons from Italy. Vaccine. 38, 7585 (2020).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 

Butt, M., Mohammed, R., Butt, E., Butt, S. & Xiang, J. Why have immunization efforts in Pakistan failed to achieve global standards of vaccination uptake and infectious disease control? Risk Manage. Healthc. Policy. 13, 111–124 (2020).

Demographic, C. Health Survey, Key Findings. Phnom Penh and Calverton, Maryland, USA: Nationanl Insitute of Statistics (2011).

Sharma, S., Akhtar, F., Singh, R. K. & Mehra, S. Understanding the three as (awareness, Access, and acceptability) dimensions of vaccine hesitancy in Odisha, India. Clin. Epidemiol. Global Health. 8, 399–403 (2020).

Article 

Google Scholar 

Morrone, T., Napolitano, F., Albano, L. & Di Giuseppe, G. Meningococcal serogroup B vaccine: knowledge and acceptability among parents in Italy. Hum. Vaccines Immunother. 13, 1921–1927 (2017).

Article 

Google Scholar 

Handy, L. K. et al. The impact of access to immunization information on vaccine acceptance in three countries. PloS One. 12, e0180759 (2017).

Article 
PubMed 
PubMed Central 

Google Scholar 

Birhanu, S., Anteneh, A., Kibie, Y. & Jejaw, A. Knowledge, attitude and practice of mothers towards immunization of infants in health centres at Addis Ababa, Ethiopia. Am. J. Health Res. 4, 6–17 (2016).

Article 

Google Scholar 

Harapan, H., Anwar, S., Setiawan, A. M. & Sasmono, R. T. Dengue vaccine acceptance and associated factors in Indonesia: a community-based cross-sectional survey in Aceh. Vaccine. 34, 3670–3675 (2016).

Article 
PubMed 

Google Scholar 

Crouch, E. & Dickes, L. A. A prediction model of childhood immunization rates. Appl. Health. Econ. Health. Policy. 13, 243–251 (2015).

Article 
PubMed 

Google Scholar 

Gopalani, S. V. et al. Barriers and factors associated with HPV vaccination among American indians and Alaska Natives: a systematic review. J. Community Health. 47, 563–575 (2022).

Article 
PubMed 
PubMed Central 

Google Scholar 

Lo Moro, G., Cugudda, E., Bert, F., Raco, I. & Siliquini, R. Vaccine hesitancy and fear of COVID-19 among Italian medical students: a cross-sectional study. J. Community Health. 47, 475–483 (2022).

Article 
PubMed 
PubMed Central 

Google Scholar 

Bell, A. et al. in. IEEE International Conference on Healthcare Informatics (ICHI). 1–6 (IEEE). (2019).

Qazi, S., Usman, M. & Mahmood, A. A data-driven framework for introducing predictive analytics into expanded program on immunization in Pakistan. Wien. Klin. Wochenschr. 133, 695–702 (2021).

Article 
PubMed 

Google Scholar 

Shaham, A., Chodick, G., Shalev, V. & Yamin, D. Personal and social patterns predict influenza vaccination decision. BMC Public. Health. 20, 1–12 (2020).

Article 

Google Scholar 

Omotunde, H. & Mouhamed, M. R. The Modern Impact of Artificial Intelligence Systems in Healthcare: A Concise Analysis. Mesop. J. Artif. Intell. Healthc. 66–70 (2023).

Karne, R. & Sreeja, T. Clustering algorithms and comparisons in vehicular ad hoc networks. Mesopotamian J. Comput. Sci. 2023, 115–123 (2023).

Google Scholar 

Zhou, Y. et al. Dermatophagoides pteronyssinus allergen Der p 22: cloning, expression, IgE-binding in asthmatic children, and immunogenicity. Pediatr. Allergy Immunol. 33, e13835 (2022).

Article 
CAS 
PubMed 

Google Scholar 

Cao, P. & Pan, J. Understanding factors influencing Geographic Variation in Healthcare expenditures: a small areas Analysis Study. INQUIRY: J. Health Care Organ. Provis. Financing. 61, 00469580231224823 (2024).

Article 

Google Scholar 

Rajora, K. Reviews research on applying machine learning techniques to reduce false positives for network intrusion detection systems. Babylon. J. Mach. Learn. 2023, 26–30 (2023).

Article 

Google Scholar 

Francis, M. R. et al. Vaccination coverage and factors associated with routine childhood vaccination uptake in rural Vellore, southern India, 2017. Vaccine. 37, 3078–3087 (2019).

Corben, P. & Leask, J. To close the childhood immunization gap, we need a richer understanding of parents’ decision-making. Hum. Vaccines Immunotherapeutics. 12, 3168–3176 (2016).

Article 

Google Scholar 

Lo Vecchio, A. et al. Determinants of low measles vaccination coverage in children living in an endemic area. Eur. J. Pediatrics. 178, 243–251 (2019).

Article 

Google Scholar 

Riaz, A. et al. Reasons for non-vaccination and incomplete vaccinations among children in Pakistan. Vaccine. 36, 5288–5293 (2018).

Article 
PubMed 

Google Scholar 

Hagemann, C., Streng, A., Kraemer, A. & Liese, J. G. Heterogeneity in coverage for measles and varicella vaccination in toddlers–analysis of factors influencing parental acceptance. BMC Public. Health. 17, 1–10 (2017).

Article 

Google Scholar 

Mvula, H. et al. Predictors of uptake and timeliness of newly introduced pneumococcal and rotavirus vaccines, and of measles vaccine in rural Malawi: a population cohort study. Plos One. 11, e0154997 (2016).

Article 
PubMed 
PubMed Central 

Google Scholar 

Visser, O. et al. Assessing determinants of the intention to accept a pertussis cocooning vaccination: a survey among Dutch parents. Vaccine. 34, 4744–4751 (2016).

Article 
PubMed 

Google Scholar 

Khurana, S., Sipsma, H. L. & Caskey, R. N. HPV vaccine acceptance among adolescent males and their parents in two suburban pediatric practices. Vaccine. 33, 1620–1624 (2015).

Article 
PubMed 

Google Scholar 

Biswas, S. Role of ChatGPT in Computer Programming. Mesopotamian Journal of Computer Science. 2023, 9–15 (2023).

Hlapisi, N. M. Enhancing hybrid spectrum access in cr-iot networks: reducing sensing time in low snr environments. Mesop. J. Comput. Sci. 2023, 47–52 (2023).

Winter, T., Riordan, B., Scarf, D. & Jose, P. Conspiracy beliefs and distrust of science predicts reluctance of vaccine uptake of politically right-wing citizens. Vaccine. 40, 1896–1903 (2022).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 

Stefanizzi, P. et al. Immune response to one dose of BNT162b2 mRNA covid-19 vaccine followed by SARS-CoV-2 infection: an Italian prospective observational study. Vaccine. 40, 1805–1809 (2022).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 

Kreps, S. E. & Kriner, D. L. Model uncertainty, political contestation, and public trust in science: evidence from the COVID-19 pandemic. Sci. Adv. 6, eabd4563 (2020).

Article 
ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 

Akgün, Ö. et al. Exploring the attitudes, concerns, and knowledge regarding COVID-19 vaccine by the parents of children with rheumatic disease: cross-sectional online survey. Vaccine. 40, 1829–1836 (2022).

Article 
PubMed 
PubMed Central 

Google Scholar 

Lebedev, G. Artificial intelligence in healthcare: directions of standardization. Handb. Artif. Intell. Healthc.: 2: Pract. Prospect. 231–257 (2022).

MacKay, M. et al. A review and analysis of the literature on public health emergency communication practices. J. Community Health. 47, 150–162 (2022).

Dalum Hansen, N., Lioma, C. & Mølbak, K. in Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. 1953–1956.

Yang, C. C. Explainable artificial intelligence for predictive modeling in healthcare. J. Healthc. Inf. Res. 6, 228–239 (2022).

Article 

Google Scholar 

Sabri, S. Q., Arif, J. Y. & Çınar, A. A. Comparative study of Chest Radiographs and Detection of The Covid 19 Virus Using Machine Learning Algorithm. Mesop. J. Comput. Sci. 34–43 (2024).

Raza, A. et al. AIPs-SnTCN: Predicting anti-inflammatory peptides using fastText and transformer encoder-based hybrid word embedding with self-normalized temporal convolutional networks. J. Chem. Inf. Model. 63, 6537–6554 (2023).

Article 
CAS 
PubMed 

Google Scholar 

Akbar, S. et al. Prediction of amyloid proteins using embedded evolutionary & ensemble feature selection based descriptors with eXtreme gradient boosting model. IEEE Access. 11, 39024–39036 (2023).

Article 

Google Scholar 

Akbar, S., Zou, Q., Raza, A. & Alarfaj, F. K. iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks. Artif. Intell. Med. 151, 102860 (2024).

Article 
PubMed 

Google Scholar 

Akbar, S., Raza, A. & Zou, Q. Deepstacked-AVPs: predicting antiviral peptides using tri-segment evolutionary profile and word embedding based multi-perspective features with deep stacking model. BMC Bioinform. 25, 102 (2024).

Article 
CAS 

Google Scholar 

Raza, A., Alam, W., Khan, S., Tahir, M. & Chong, K. T. iPro-TCN: prediction of DNA promoters recognition and their strength using temporal convolutional network. IEEE Access. 11, 66113–66121 (2023).

Article 

Google Scholar 

Ullah, M., Akbar, S., Raza, A. & Zou, Q. DeepAVP-TPPred: identification of antiviral peptides using transformed image-based localized descriptors and binary tree growth algorithm. Bioinformatics. 40, btae305 (2024).

Article 
PubMed 
PubMed Central 

Google Scholar 

Raza, A. et al. Comprehensive analysis of computational methods for Predicting anti-inflammatory peptides. Arch. Comput. Methods Eng. 31, 3211–3229 (2024).

Akbar, S., Hayat, M., Kabir, M. & Iqbal, M. iAFP-gap-SMOTE: an efficient feature extraction scheme gapped dipeptide composition is coupled with an oversampling technique for identification of antifreeze proteins. Lett. Org. Chem. 16, 294–302 (2019).

Article 
CAS 

Google Scholar 

Akbar, S., Rahman, A. U., Hayat, M., Sohail, M. & cACP Classifying anticancer peptides using discriminative intelligent model via Chou’s 5-step rules and general pseudo components. Chemometr. Intell. Lab. Syst. 196, 103912 (2020).

Article 
CAS 

Google Scholar 

Ali, F. et al. AFP-CMBPred: computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information. Comput. Biol. Med. 139, 105006 (2021).

Article 
CAS 
PubMed 

Google Scholar 

Ali, F., Ahmed, S., Swati, Z. N. K. & Akbar, S. DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information. J. Comput. Aided Mol. Des. 33, 645–658 (2019).

Article 
ADS 
CAS 
PubMed 

Google Scholar 

Akbar, S. et al. Identifying neuropeptides via evolutionary and sequential based multi-perspective descriptors by incorporation with ensemble classification strategy. IEEE Access. 11, 49024–49034 (2023).

Article 

Google Scholar 

Akbar, S. et al. iAtbP-Hyb-EnC: prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model. Comput. Biol. Med. 137, 104778 (2021).

Article 
PubMed 

Google Scholar 

Wang, D., Willis, D. R. & Yih, Y. The pneumonia severity index: Assessment and comparison to popular machine learning classifiers. Int. J. Med. Informatics. 163, 104778. https://doi.org/10.1016/j.ijmedinf.2022.104778 (2022).

Article 

Google Scholar 

Akbar, S. et al. Prediction of antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy. Chemometr. Intell. Lab. Syst. 230, 104682 (2022).

Article 
CAS 

Google Scholar 

Ahmad, A., Akbar, S., Tahir, M., Hayat, M. & Ali, F. iAFPs-EnC-GA: identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach. Chemometr. Intell. Lab. Syst. 222, 104516 (2022).

Article 
CAS 

Google Scholar 

Rukh, G., Akbar, S., Rehman, G., Alarfaj, F. K. & Zou, Q. StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning. BMC Bioinform. 25, 256. https://doi.org/10.1186/s12859-024-05884-6 (2024).

Article 
CAS 

Google Scholar 

Lee, S., Riley-Behringer, M., Rose, J. C., Meropol, S. B. & Lazebnik, R. Parental vaccine acceptance: a logistic regression model using previsit decisions. Clin. Pediatr. 56, 716–722 (2017).

Article 

Google Scholar 



Source link

Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
admin
  • Website

Related Posts

VA benefits families and caregivers

June 23, 2025

Expanding Home Health Services and Benefits of Home Health Care | AMA Update Video

June 23, 2025

Shore HomeCare Services continues to provide home care for dementia

June 23, 2025
Leave A Reply Cancel Reply

Top Posts

Means offset pressure in the CVS healthcare delivery segment

August 1, 2025

How To Unlock A Windows PC Without The Password?

January 14, 2021
7.2

Best Chanel Perfume of 2024 – Top Chanel Fragrance Worth Buying

January 15, 2021

Is It Safe to Use an Old or Used Phone? Report Card

January 14, 2021
Don't Miss

Fears of nurse leadership cuts rise as ICB scraps chief nurse role

By adminAugust 1, 2025

A London integrated care board (ICB) has axed its chief nursing officer role from its…

Nurse-led gender clinic wins legal battle to treat trans teens

August 1, 2025

Global nurse academic honoured for international training work

July 31, 2025

Nurse strike threats as RCN rejects Agenda for Change pay offer

July 31, 2025

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

About Us
About Us

Welcome to HomeCareNews.us, your trusted source for comprehensive information on home healthcare services. Our mission is to empower individuals and families by providing accurate, up-to-date, and insightful information about essential home care services in USA.

Facebook X (Twitter) Pinterest YouTube WhatsApp
Our Picks

Means offset pressure in the CVS healthcare delivery segment

August 1, 2025

Fears of nurse leadership cuts rise as ICB scraps chief nurse role

August 1, 2025

Nurse-led gender clinic wins legal battle to treat trans teens

August 1, 2025
Most Popular

Means offset pressure in the CVS healthcare delivery segment

August 1, 2025

How To Unlock A Windows PC Without The Password?

January 14, 2021
7.2

Best Chanel Perfume of 2024 – Top Chanel Fragrance Worth Buying

January 15, 2021
  • Home
  • About Us
  • Advertise with Us
  • Contact us
  • DMCA Policy
  • Privacy Policy
  • Terms & Conditions
© 2025 HomecareNews.US

Type above and press Enter to search. Press Esc to cancel.