Family Medicine at IgMin Research | General Science Group
Our mission is to promote a culture of collaborative thinking that drives faster advancements.
について
Family medicine is a comprehensive medical specialty that focuses on providing primary care and healthcare services to individuals and families across all ages. Family medicine practitioners, often referred to as family physicians or general practitioners, offer continuous and personalized care, addressing a wide range of health concerns from preventive measures to chronic disease management. Their holistic approach fosters strong doctor-patient relationships and promotes wellness in the context of patients' lives.
The study of family medicine encompasses various medical disciplines, enabling family physicians to diagnose and treat a diverse array of medical conditions. They emphasize preventive care, health education, and wellness promotion, and they play an integral role in coordinating specialized care when necessary. By serving as the primary point of contact for healthcare, family medicine practitioners contribute to lifelong health and well-being.
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
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研究論文
- Wishful Thinking or Valuable Forecasts? The Value of Policy Rate Predictions in Sweden
- Use of Augmented Reality as a Radiation-free Alternative in Pain Management Spinal Surgeries
- Clinical MLOps: A Framework for Responsible Deployment and Observability of AI Systems in Cloud-Native Healthcare
- Assessing Bee (Hymenoptera, Apoidea, Anthophila) Diversity and Floral Preference in Two Habitats in the Iberian Peninsula
- Clustering of Three-dimensional (3-D) Objects by Means of Phase- only Digital Holographic Information using Machine Learning
- The Examination of Game Skills of Children Aged 5-6 Years Participating in Movement Education
