Computational Intelligence in Healthcare 1st Edition

Computational Intelligence in Healthcare 1st Edition by Meenu Gupta offers a compelling gateway into the intersection of artificial intelligence and modern medicine. Whether you’re a clinician, data scientist, healthcare administrator, or student, this book captures attention with clear explanations of how computational intelligence transforms diagnosis, prognosis, and patient care.

Dive into practical, well-structured chapters that build interest by blending foundational theory with real-world applications. Topics include machine learning and deep learning for medical imaging, fuzzy logic and evolutionary algorithms for decision support, wearable-sensor analytics, and predictive modeling for electronic health records. Each section emphasizes actionable techniques, performance evaluation, and interpretation—making complex algorithms accessible to healthcare professionals and researchers alike.

Feel the desire to apply these tools: the text highlights case studies and implementation strategies that bridge laboratory research and clinical practice. Ethical considerations, data privacy, and regulatory challenges are treated with the seriousness practitioners need in today’s landscape, ensuring that technological adoption remains patient-centered and compliant across regions—from hospitals in India and Asia to clinics in Europe and North America.

Practical, contemporary, and globally relevant, Computational Intelligence in Healthcare equips you to lead innovation in your organization. Its 1st Edition by Meenu Gupta is written in a concise, engaging style that accelerates learning and empowers decision-making.

Ready to transform healthcare with intelligent solutions? Add this essential resource to your collection today and start applying advanced computational techniques to real clinical problems—order your copy now.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.