• 제목/요약/키워드: Dietary Algorithm

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정밀영양: 개인 간 대사 다양성을 이해하기 위한 접근 (Precision nutrition: approach for understanding intra-individual biological variation)

  • 김양하
    • Journal of Nutrition and Health
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    • 제55권1호
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    • pp.1-9
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    • 2022
  • In the past few decades, great progress has been made on understanding the interaction between nutrition and health status. But despite this wealth of knowledge, health problems related to nutrition continue to increase. This leads us to postulate that the continuing trend may result from a lack of consideration for intra-individual biological variation on dietary responses. Precision nutrition utilizes personal information such as age, gender, lifestyle, diet intake, environmental exposure, genetic variants, microbiome, and epigenetics to provide better dietary advices and interventions. Recent technological advances in the artificial intelligence, big data analytics, cloud computing, and machine learning, have made it possible to process data on a scale and in ways that were previously impossible. A big data platform is built by collecting numerous parameters such as meal features, medical metadata, lifestyle variation, genome diversity and microbiome composition. Sophisticated techniques based on machine learning algorithm can be used to integrate and interpret multiple factors and provide dietary guidance at a personalized or stratified level. The development of a suitable machine learning algorithm would make it possible to suggest a personalized diet or functional food based on analysis of intra-individual metabolic variation. This novel precision nutrition might become one of the most exciting and promising approaches of improving health conditions, especially in the context of non-communicable disease prevention.

건강기능식품 부작용 원인분석을 위한 알고리즘 (Algorithms for Causality Evaluation of Adverse Events from Health/Functional Foods)

  • 이경진;박경식;김정훈;이영주;윤태형;노기미;박미선;임동길;윤창용;정자영
    • 한국식품위생안전성학회지
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    • 제26권4호
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    • pp.302-307
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    • 2011
  • One of the most important objectives of post-marketing monitoring of dietary supplements is the early detection of unknown and unexpected adverse events (AEs). Several causality algorithms, such as the Naranjo scale, the RUCAM scale, and the M & V scale are available for the estimation of the likelihood of causation between a product and an AE. Based on the existing algorithms, the Korea Food & Drug Administration has developed a new algorithm tool to reflect the characteristics of dietary supplements in the causality analysis. However, additional work will be required to confirm if the newly developed algorithm tool has reasonable sensitivity and not to generate an unacceptable number of false positives signals.

DNN 기반 혈당 관리 식이요법 알고리즘 구현 (Algorithm Implementation of DNN-based Blood Glucose Management Dietary)

  • 최승환;박기조;김경석
    • 한국인터넷방송통신학회논문지
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    • 제23권4호
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    • pp.73-78
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    • 2023
  • 당뇨병은 전 세계적으로 유병률이 빠르게 증가하고 있는 만성 질환으로, 합병증으로 인한 사망률도 지속적으로 증가하고 있다. 이로 인해 혈당 관리는 현대 사회에서 매우 중요한 과제로 대두되고 있다. 혈당 관리에는 식이요법, 운동요법, 약물요법 등이 있다. 그 중 식이요법은 고혈당을 유발하는 식품을 피하며 혈당 변동을 최소화하는 방법으로, 혈당 관리에 있어서 가장 근본이 되는 기초공사이며, 당뇨병 환자 뿐만 아니라 일반인들도 보다 쉽게 접근할 수 있다. 현재 국내·외 여러 플랫폼에서는 식이요법과 관련하여 식단 구성 서비스를 제공하고 있지만, 이는 주로 사용자나 전문 코치에 의해 수행되고 있다. 이에 따라 본 논문에서는 DNN을 기반으로 한 정확한 Kcal 산출 모델을 구현하고, 이를 기반으로 혈당 관리를 위한 일련의 식이요법 알고리즘을 제시한다.

Development of Big Data-based Cardiovascular Disease Prediction Analysis Algorithm

  • Kyung-A KIM;Dong-Hun HAN;Myung-Ae CHUNG
    • 한국인공지능학회지
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    • 제11권3호
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    • pp.29-34
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    • 2023
  • Recently, the rapid development of artificial intelligence technology, many studies are being conducted to predict the risk of heart disease in order to lower the mortality rate of cardiovascular diseases worldwide. This study presents exercise or dietary improvement contents in the form of a software app or web to patients with cardiovascular disease, and cardiovascular disease through digital devices such as mobile phones and PCs. LR, LDA, SVM, XGBoost for the purpose of developing "Life style Improvement Contents (Digital Therapy)" for cardiovascular disease care to help with management or treatment We compared and analyzed cardiovascular disease prediction models using machine learning algorithms. Research Results XGBoost. The algorithm model showed the best predictive model performance with overall accuracy of 80% before and after. Overall, accuracy was 80.0%, F1 Score was 0.77~0.79, and ROC-AUC was 80%~84%, resulting in predictive model performance. Therefore, it was found that the algorithm used in this study can be used as a reference model necessary to verify the validity and accuracy of cardiovascular disease prediction. A cardiovascular disease prediction analysis algorithm that can enter accurate biometric data collected in future clinical trials, add lifestyle management (exercise, eating habits, etc.) elements, and verify the effect and efficacy on cardiovascular-related bio-signals and disease risk. development, ultimately suggesting that it is possible to develop lifestyle improvement contents (Digital Therapy).

Diet-Right: A Smart Food Recommendation System

  • Rehman, Faisal;Khalid, Osman;Haq, Nuhman ul;Khan, Atta ur Rehman;Bilal, Kashif;Madani, Sajjad A.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권6호
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    • pp.2910-2925
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    • 2017
  • Inadequate and inappropriate intake of food is known to cause various health issues and diseases. Due to lack of concise information about healthy diet, people have to rely on medicines instead of taking preventive measures in food intake. Due to diversity in food components and large number of dietary sources, it is challenging to perform real-time selection of diet patterns that must fulfill one's nutrition needs. Particularly, selection of proper diet is critical for patients suffering from various diseases. In this article, we highlight the issue of selection of proper diet that must fulfill patients' nutrition requirements. To address this issue, we present a cloud based food recommendation system, called Diet-Right, for dietary recommendations based on users' pathological reports. The model uses ant colony algorithm to generate optimal food list and recommends suitable foods according to the values of pathological reports. Diet-Right can play a vital role in controlling various diseases. The experimental results show that compared to single node execution, the convergence time of parallel execution on cloud is approximately 12 times lower. Moreover, adequate accuracy is attainable by increasing the number of ants.

경기 일부지역 대학생의 섬유소 섭취 행동단계에 따른 영양소 섭취상태 비교 (Comparison of Nutrient Intakes Regarding Stages of Change in Dietary Fiber Increasing for College Students in Kyunggi-Do)

  • 정은정
    • 대한지역사회영양학회지
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    • 제10권5호
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    • pp.592-602
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    • 2005
  • This study was conducted to compare nutrient intakes regarding stages of change in dietary fiber increasing behavior. Subjects were consisted of healthy 383 college students (2S0 females and 133 males) in Kyunggi-Do. Stages of change classified by an algorithm based on 6 items were designed each subjects into one of the 5 stages: precontemplation (PC), contemplation (CO), preparation (PR), action (AC), maintenance (MA). Nutrient intakes were assessed by 24-hr recall method. Regarding the S stages of changes, PR stage comprised the largest group $(39.4\%)$, followed by AC $(33.7\%)$, MA$(14.6\%)$, PC$(7.6\%)$, CO$(34.7\%)$. Female were more belong to either AC or MA. The higher stage of change in dietary fiber increasing behavior, the higher self-efficacy. In all male and female, there were no differences in energy, protein, monounsaturated fatty acids, polyunsaturated fatty acids and cholesterol intakes across the 5 stages. But, fiber, postassuim (K), vitamin A and vitamin C intakes of AC or MA were higer than those of PC, CO and PR $Energy\%$ from fat of $PR(25.4\~26.5\%)$ was higher than $20\%$, and those of AC and MA was lower than the other groups. Dietary P/S and ${\varepsilon}6/{\varepsilon}$ 3 ratios of AC and MA were similar to the recommended ratio. Female of PR had the most total saturated fat and palmitic acid and those of MA had the least. Male of PR had the least $\alpha-LNA\;({\varepsilon}3)$ and total ${\varepsilon}3$ fatty acids and those of MA had the most. In male and female in AC or MA, fiber and K intakes from breakfast, dinner and snack and vitamin C intakes from all meals were higher than those of the other stages. These results of our study confirm differences in stages of change in fiber intake in terms of nutritional status. To have lower $energy\%$ from fat, higher intakes of K, fiber and vitamins, desirable ratio of dietary fatty acids, it needs consistent nutritional education leading to the AC or MA of fiber increasing behavior.

Development of tailored nutrition information messages based on the transtheoretical model for smartphone application of an obesity prevention and management program for elementary-school students

  • Lee, Ji Eun;Lee, Da Eun;Kim, Kirang;Shim, Jae Eun;Sung, Eunju;Kang, Jae-Heon;Hwang, Ji-Yun
    • Nutrition Research and Practice
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    • 제11권3호
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    • pp.247-256
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    • 2017
  • BACKGROUND/OBJECTIVES: Easy access to intervention and support for certain behaviors is important for obesity prevention and management. The available technology such as smartphone applications can be used for intervention regarding healthy food choices for obesity prevention and management in elementary-school students. The transtheoretical model (TTM) is comprised of stages and processes of change and can be adopted to tailored education for behavioral change. This study aims to develop TTM-based nutrition contents for mobile applications intended to change eating behaviors related to weight gain in young children. SUBJECTS/METHODS: A synthesized algorithm for tailored nutrition messages was developed according to the intake status of six food groups (vegetables, fruits, sugar-sweetened beverages, fast food and instant food, snacks, and late-night snacks), decision to make dietary behavioral changes, and self-confidence in dietary behavioral changes. The messages in this study were developed from December 2014 to April 2015. After the validity evaluation of the contents through expert consultation, tailored nutrition information messages and educational contents were developed based on the TTM. RESULTS: Based on the TTM, stages of subjects are determined by their current intake status, decision to make dietary behavioral changes, and self-confidence in dietary behavioral changes. Three versions of tailored nutrition messages at each TTM stage were developed so as to not send the same messages for three weeks at most, and visual materials such as figures and tables were developed to provide additional nutritional information. Finally, 3,276 tailored nutrition messages and 60 nutrition contents for applications were developed. CONCLUSIONS: Smartphone applications may be an innovative medium to deliver interventions for eating behavior changes directly to individuals with favorable cost-effectiveness. In addition, using the TTM for tailored nutrition education for healthy eating is an effective approach.

이차성 비만의 진단 (Evaluation of Secondary Obesity)

  • 김보연
    • 비만대사연구학술지
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    • 제1권2호
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    • pp.53-58
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    • 2022
  • While the rising epidemic of obesity is primarily attributed to a sedentary lifestyle, poor dietary habits, and the aging of the population, secondary causes of obesity generally go undetected and untreated. These include endocrinological disorders, such as Cushing's syndrome, polycystic ovary syndrome, hypothalamic obesity, hypogonadism, and hypothyroidism, as well as genetic, syndromic, and drug-related obesity. We present an overview of the major disorders associated with obesity, highlighting the pathophysiologic mechanisms and discussing the diagnostic and treatment strategies that are most helpful to practicing physicians in recognizing and treating these generally under-detected and undertreated disorders.

경기지역 일부 대학생의 지방제한 섭취 행동단계에 따른 영양소 섭취상태 비교 (Comparison of Nutrient Intakes Regarding Stages of Change in Dietary Fat Reduction for College Students in Gyeonggi-Do)

  • 정은정
    • 한국식품영양과학회지
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    • 제33권8호
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    • pp.1327-1336
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    • 2004
  • 경기지역 일부 대학생의 지방제한식에 대한 행동단계 분포는 연구대상자의 19.3%가 자각이전, 13.8%는 자각, 31.1%는 준비, 28.7%는 실시, 7.1%는 유지단계로, 성인보다 실시 및 유지 단계 비율이 낮아 대학생의 지방질을 선호하는 식생활을 엿볼 수 있었다. 행동변화 단계별로 BMI, 자신의 건강평가, 음주, 흡연 등은 차이가 없었으나 성별에 의한 차이는 뚜렷하여 남학생은 자각이전 및 자각단계가, 여학생은 준비, 실행 및 유지단계의 비율이 많았다. 식행동 단계의 주요 예측인자인 자아효능감은 자각이전에서 유지단계로 갈수록 증가하였다. 열량, 지방질, 포화지방산, linoleic acid($\omega$6), 콜레스테롤 섭취량은 남여 모두 자각이전과 준비단계에서 많고, 실행과 유지단계에서 적었다. 섭취열량중 지방질의 비율은 자각이전과 준비단계에는 권장수준인 20%를 크게 상회하였으나, 실행과 유지단계에서는 권장수준을 섭취하는 양호한 식습관을 갖고 있었다. 섭취 지방산의 P/S 비율은 모두 권장비율에 속하였으며, $\omega$6/$\omega$3 비율은 여학생은 권장범위에 속하였으나(자각이전단계 예외), 남학생은 모든 단계에서 권장범위 이상으로, 지방질의 질적 영양문제가 지적되었다. 행동단계별 영양소 섭취량의 차이는 여학생에게서 더 뚜렷하였으며 , 남학생은 실행단계보다 유지단계에서 열량, 포화지방산, 콜레스테롤 섭취량, $\omega$6/$\omega$3 비율 등이 오히려 증가하는 경향을 보여, 행동변화 모형 에 의한 대상자의 구분은 여학생에서 더 유용한 도구였다. 남학생의 열량, 지방질, 단백질 섭취량은 저녁식사에서만 행동단계별로 차이를 보였으나, 여학생은 저녁을 포함한 다른 끼니에서도 차이를 보여, 남학생보다 단계별 식행동의 차이가 뚜렷하였다. 이상의 결과에서와 같이 아주 간단한 과정을 통해 식행동 단계를 구분지어 주는 행동변화단계 모형은 대상자의 특성과 지방질 영양의 문제점을 파악할 수 있게 되어 각 개인별 맞춤 영양교육의 한 도구가 되어질 수 있음을 알 수 있었다. 따라서 본 행동변화단계 모형에서 자각이전, 자각, 준비 단계로 분류된 대상자들에게는 양적, 질적으로 모두 양호한 지방질의 섭취 패턴을 보이는 실행과 유지 단계가 되도록, 자아효능감 등을 증가시키는 영양교육이 이루어져야 할 것이다. 또한 남학생의 경우 여학생보다 지방제한식을 실시하는 비율이 적었으며, 행동변화 단계에 따라 영양소 섭취량의 차이도 뚜렷하지 않아, 이들을 위한 영양교육의 필요성이 지적되었다. 따라서 이들에게 구체적인 내용의 영양교육을 실시하기 위해, 열량과 지방질, 포화지방, 콜레스테롤 섭취량의 주요 급원식품에 대한 후속 연구가 이루어져야 할 것으로 생각된다.

식품 단백질 유발성 장염 증후군: 임상적 접근과 병태생리의 최신 지견 (Food Protein-induced Enterocolitis Syndrome: an Update on Clinical Approaches and Its Pathophysiology)

  • 황진복
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • 제10권2호
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    • pp.117-128
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    • 2007
  • Food protein-induced enterocolitis syndrome (FPIES) is a non-IgE mediated hypersensitivity disorder, which is associated with mainly gastrointestinal symptoms and has a delayed onset. The vomiting and/or diarrheal symptoms of FPIES typically begin in the first month of life in association with a failure to thrive, metabolic acidosis, and shock. Therefore, the differential diagnosis of FPIES and neonatal or infantile sepsis-like illnesses or gastroenteritis is difficult. The early recognition of indexes of suspicion for FPIES may help in the diagnosis and treatment of this disorder. The diagnosis of FPIES is generally made through clinical practice and food-specific IgE test findings are typically negative in this condition. Therefore, oral cow's milk challenge (OCC) remains the valid diagnostic standard for FPIES. An investigation of positive OCC outcomes helps to find out a diagnostic algorithm of criteria of a positive challenge in FPIES. Moreover, it has not been clearly determined in infantile FPIES when $1^{st}$ follow up-oral food challenge (FU-OFC) should be performed, with what kind of food protein (e.g., cow's milk, soy), and how much protein should be administered. Hence, to prevent the risk of inappropriate FU-OFC or accidental exposure and achieve appropriate dietary management, it is necessary to identify tolerance rates to major foods under the careful follow up of infantile FPIES patients. On the other hand, small intestinal enteropathy with villous atrophy is observed in FPIES and this enteropathy seems to be in part induced by both of epithelial apoptosis and intercellular junctional complex breakdown. The purpose of this report is to introduce an update on diagnostic and therapeutic approaches in FPIES and suggest the possible histopathological evidences in this disorder.

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