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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1359551603
Titel AI-Based Nutritional Intervention in Polycystic Ovary Syndrome (PCOS) / edited by Rakesh Kumar, Meenu Gupta, Anand Nayyar
Person(en) Kumar, Rakesh (Herausgeber)
Gupta, Meenu (Herausgeber)
Nayyar, Anand (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2025
Verlag Singapore : Springer Nature Singapore, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2025
Umfang/Format Online-Ressource, XIII, 330 p. 61 illus., 55 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-981-9621-19-4
Printed edition:: ISBN: 978-981-9621-21-7
Printed edition:: ISBN: 978-981-9621-22-4
Inhalt -- Introduction to Polycystic Ovary Syndrome (PCOS) and Nutritional Challenges. -- Traditional Dietary Approaches for PCOS: A Review of Conventional Dietary Recommendations for PCOS and their Limitations. -- The Role of Nutrients in PCOS: An Exploration Of Key Nutrients and their Impact on PCOS Symptoms. -- AI powered Personalized Nutrition: How AI can customize Nutritional Plans based on Individual PCOS Profiles. -- Unlocking Gender-Based Health Insights with Predictive Analytics. -- Tacking Nutrient intake with AI: How AI can help Monitor and Optimize Nutrient Consumption. -- Glycemic Control and Insulin Management: The Role of AI in Glycemic Index Control and Insulin Regulation. -- Hormone Balancing Through Nutrition: Nutritional Strategies and AI Tools to balance Hormones Associated with PCOS. -- Micronutrient Optimization: An in-depth look at Vitamins and Minerals critical for PCOS Management and AI’s Role in ensuring adequate intake. -- Supplements and Herbal Remedies: An Exploration of Nutritional Supplements and Herbal Remedies for PCOS and AI’s Role in Personalized Recommendations. -- Ethical Aspects of AI Nutrition: Discussion of Ethical Considerations related to AI-based Nutritional Guidance in terms of Privacy, Data Security and Potential Biases. -- Mobile Applications and Wearable in PCOS Nutrition: mHealth Solutions and Personalized Health Monitoring. -- Human-Artificial Intelligence Collaborations in Polycystic Ovary Syndrome (PCOS) Clinical Trials and Research
Persistent Identifier URN: urn:nbn:de:101:1-2503120306572.442322503636
DOI: 10.1007/978-981-96-2120-0
URL https://doi.org/10.1007/978-981-96-2120-0
ISBN/Einband/Preis 978-981-96-2120-0
Sprache(n) Englisch (eng)
DDC-Notation 618.1 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 610 Medizin, Gesundheit

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