Analysis and design of algorithms for the manufacturing process of integrated circuits حسب Sonia Fleytas (16856403)

Default and optimized parameters for each predictive model. حسب Emily S. Nichols (8740029)

Table 1_Multidimensional dietary assessment and interpretable machine learning models predict the risk of prediabetes/diabetes and osteoporosis comorbidity in older adults.docx حسب Yuwen ShangGuan (22633190)

"…Background<p>The health burden of diabetes mellitus and osteoporosis (DM-OP) comorbidity in the aging population is increasing, and dietary factors are modifiable risk determinants. …"

Data Sheet 5_Multidimensional dietary assessment and interpretable machine learning models predict the risk of prediabetes/diabetes and osteoporosis comorbidity in older adults.pdf حسب Yuwen ShangGuan (22633190)

"…Background<p>The health burden of diabetes mellitus and osteoporosis (DM-OP) comorbidity in the aging population is increasing, and dietary factors are modifiable risk determinants. …"

Data Sheet 7_Multidimensional dietary assessment and interpretable machine learning models predict the risk of prediabetes/diabetes and osteoporosis comorbidity in older adults.pdf حسب Yuwen ShangGuan (22633190)

"…Background<p>The health burden of diabetes mellitus and osteoporosis (DM-OP) comorbidity in the aging population is increasing, and dietary factors are modifiable risk determinants. …"

Data Sheet 6_Multidimensional dietary assessment and interpretable machine learning models predict the risk of prediabetes/diabetes and osteoporosis comorbidity in older adults.pdf حسب Yuwen ShangGuan (22633190)

"…Background<p>The health burden of diabetes mellitus and osteoporosis (DM-OP) comorbidity in the aging population is increasing, and dietary factors are modifiable risk determinants. …"

Data Sheet 3_Multidimensional dietary assessment and interpretable machine learning models predict the risk of prediabetes/diabetes and osteoporosis comorbidity in older adults.pdf حسب Yuwen ShangGuan (22633190)

"…Background<p>The health burden of diabetes mellitus and osteoporosis (DM-OP) comorbidity in the aging population is increasing, and dietary factors are modifiable risk determinants. …"

Data Sheet 1_Multidimensional dietary assessment and interpretable machine learning models predict the risk of prediabetes/diabetes and osteoporosis comorbidity in older adults.pdf حسب Yuwen ShangGuan (22633190)

"…Background<p>The health burden of diabetes mellitus and osteoporosis (DM-OP) comorbidity in the aging population is increasing, and dietary factors are modifiable risk determinants. …"

Data Sheet 2_Multidimensional dietary assessment and interpretable machine learning models predict the risk of prediabetes/diabetes and osteoporosis comorbidity in older adults.pdf حسب Yuwen ShangGuan (22633190)

"…Background<p>The health burden of diabetes mellitus and osteoporosis (DM-OP) comorbidity in the aging population is increasing, and dietary factors are modifiable risk determinants. …"

Data Sheet 4_Multidimensional dietary assessment and interpretable machine learning models predict the risk of prediabetes/diabetes and osteoporosis comorbidity in older adults.pdf حسب Yuwen ShangGuan (22633190)

"…Background<p>The health burden of diabetes mellitus and osteoporosis (DM-OP) comorbidity in the aging population is increasing, and dietary factors are modifiable risk determinants. …"

Table 1_Association between pro-inflammatory diet and fecal incontinence: a large population-based study.pdf حسب Haiyang Wang (22389)

"…Background<p>It is widely acknowledged that dietary habits play a pivotal role in maintaining optimal intestinal health. …"

Image 1_Association between pro-inflammatory diet and fecal incontinence: a large population-based study.pdf حسب Haiyang Wang (22389)

"…Background<p>It is widely acknowledged that dietary habits play a pivotal role in maintaining optimal intestinal health. …"

Personal details that are used as predictors. حسب Jari Turkia (17912475)

"…These findings highlight the potential for personalized dietary modifications to optimize nutritional status, enhance patient outcomes, and mitigate the risk of malnutrition in the ESRD population.…"

Nutrient predictors of the model. حسب Jari Turkia (17912475)

"…These findings highlight the potential for personalized dietary modifications to optimize nutritional status, enhance patient outcomes, and mitigate the risk of malnutrition in the ESRD population.…"

Supplementary Material for: Development of an explainable machine learning model for cardiovascular-kidney-metabolic syndrome prediction based on dietary antioxidants in a national... حسب figshare admin karger (2628495)

"…Five machine learning algorithms were trained with rigorous hyperparameter optimization and evaluated comprehensively. …"

Nutritional strategies in the rehabilitation of musculoskeletal injuries in athletes: a systematic integrative review - PROTOCOL حسب Diego A. Bonilla (9086201)

"…The overall assessment of the risk of bias for each outcome was presented as: "low risk", "some concerns" or "high risk" of bias. …"

Construction of reduced chemical mechanisms orientated toward specific applications: a case study of primary reference fuel حسب Bo Niu (102579)

"…And then, the genetic algorithm with binary variables is applied to further reduce the pathways of the small-molecule reactions targeted at ignition delay times in shock tubes, major species (fuel, O₂, CO, and CO₂) profiles in jet-stirred reactors, and laminar flame speeds, respectively. …"

Image_1_Evaluation of nutritional status and clinical depression classification using an explainable machine learning method.JPEG حسب Payam Hosseinzadeh Kasani (13280397)

"…It contributes significantly to an increased risk of diseases associated with multiple risk factors. …"

Image_2_Evaluation of nutritional status and clinical depression classification using an explainable machine learning method.JPEG حسب Payam Hosseinzadeh Kasani (13280397)

"…It contributes significantly to an increased risk of diseases associated with multiple risk factors. …"

Data_Sheet_1_Evaluation of nutritional status and clinical depression classification using an explainable machine learning method.docx حسب Payam Hosseinzadeh Kasani (13280397)

"…It contributes significantly to an increased risk of diseases associated with multiple risk factors. …"