The Journal of Health Sustainable Development (JHSD) is an online, peer-reviewed, academic journal that adheres to the highest standards of scholarly publishing. JHSD invites submissions from researchers worldwide, focusing on theoretical and practical advancements in the field of machine learning and its interdisciplinary applications.

 

 Manuscript Preparation

 

Authors should prepare their manuscripts using the JHSD Word Template or LaTeX Template. Submissions must follow the JHSD format to proceed with the peer-review process.

 

 Originality

 

Submissions to JHSD must be original and not previously published or under review elsewhere. Authors are required to ensure the novelty of their work and adhere to ethical standards in research and publishing.

 

 Review Process

 

All submissions are rigorously peer-reviewed by experts. The review process assesses originality, clarity of presentation, and significance to the field of machine learning. JHSD aims to complete the review process within four weeks. For delays, authors may contact the editorial office.

 

The review process considers:

 

Originality: Novel contributions to machine learning.

Clarity: High-quality presentation and articulation.

Significance: Relevance and impact on the field.

 Open Access

 

JHSD is an open-access journal, ensuring that all accepted manuscripts are freely accessible to the global research community. There are no fees for submission or publication.