Development of Personalized Diet and Exercise Recommender System Based on Clinical
Data
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Bester Preis: Fr. 26.85 (€ 28.35)¹ (vom 28.01.2023)1
Development of Personalized Diet and Exercise Recommender System Based on Clinical Data (2022)search
EN PB NWISBN: 9789342244785search bzw. 9342244785, in Englisch, Taschenbuch, neu.
Lieferung aus: Niederlande, zzgl. Versandkosten.
The present health scenario indicates that thyroid diseases are a common challenge experienced by most individuals. According to the statistics in India, one out of eight women suffer from thyroid-related conditions. Hyperthyroid, hypothyroid, or thyroid cancer are categories of thyroid disorder. It is imperative to maintain optimum levels of secretion of the thyroid hormones as the imbalance could lead to thyroid diseases. Therefore, thyroid patients must be vigilant regarding their iodine intake and follow a customized daily diet and exercise plan. The diet plan, along with balanced iodine levels, must also be able to meet the patient's nutritional needs. A personalized diet plan could help thyroid patients to be more aware and focused on their body metabolism. Existing recommender systems usually provide generic diet recommendations, and unfortunately, it may not be beneficial to patients suffering from a specific disease. Content-based Neighborhood-Conditional RBM (CB-NCRBM) model has posited to recommend Top-3 diet and exercise plans for thyroid patients. The proposed model considers the joint probability distribution of different scores using the user profile. Similarly, preference and health scores are estimated based on content features. The model feeds these scores as visible units to conditional RBM. The proposed model also integrates several content-based features such as users' physiological profiles, thyroid disease information, food, and exercise preferences. The proposed recommender model validates the experimental results using recommendation error and classification accuracy metrics. The proposed hybrid model outperforms several popularly used recommendation models, such as collaborative filtering, content-based, and pure RBM models. The system also provides a feedback loop to enhance the quality of the recommended diet and exercise plans based on user experience. Body & mind, Alle body & mind, Engelse Boeken > Body & mind > Alle body & mind.
The present health scenario indicates that thyroid diseases are a common challenge experienced by most individuals. According to the statistics in India, one out of eight women suffer from thyroid-related conditions. Hyperthyroid, hypothyroid, or thyroid cancer are categories of thyroid disorder. It is imperative to maintain optimum levels of secretion of the thyroid hormones as the imbalance could lead to thyroid diseases. Therefore, thyroid patients must be vigilant regarding their iodine intake and follow a customized daily diet and exercise plan. The diet plan, along with balanced iodine levels, must also be able to meet the patient's nutritional needs. A personalized diet plan could help thyroid patients to be more aware and focused on their body metabolism. Existing recommender systems usually provide generic diet recommendations, and unfortunately, it may not be beneficial to patients suffering from a specific disease. Content-based Neighborhood-Conditional RBM (CB-NCRBM) model has posited to recommend Top-3 diet and exercise plans for thyroid patients. The proposed model considers the joint probability distribution of different scores using the user profile. Similarly, preference and health scores are estimated based on content features. The model feeds these scores as visible units to conditional RBM. The proposed model also integrates several content-based features such as users' physiological profiles, thyroid disease information, food, and exercise preferences. The proposed recommender model validates the experimental results using recommendation error and classification accuracy metrics. The proposed hybrid model outperforms several popularly used recommendation models, such as collaborative filtering, content-based, and pure RBM models. The system also provides a feedback loop to enhance the quality of the recommended diet and exercise plans based on user experience. Body & mind, Alle body & mind, Engelse Boeken > Body & mind > Alle body & mind.
2
Sheshrao Vairale Vaishalisearch
Development of Personalized Diet and Exercise Recommender System Based on Clinical Datasearch
DE PB NWISBN: 9789342244785search bzw. 9342244785, in Deutsch, ASMTM, Taschenbuch, neu.
Lieferung aus: Deutschland, zzgl. Versandkosten, Shipping in 3 days.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
3
Development of Personalized Diet and Exercise Recommender System Based on Clinical Data Paperback | Indigo Chapterssearch
~EN PB NWISBN: 9789342244785search bzw. 9342244785, vermutlich in Englisch, Taschenbuch, neu.
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Development of Personalized Diet and Exercise Recommender System Based on Clinical Data Paperback | Indigo Chapters.
Development of Personalized Diet and Exercise Recommender System Based on Clinical Data Paperback | Indigo Chapters.
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