AIMC Journal:
Scientific reports

Showing 1861 to 1870 of 5371 articles

Random survival forest for predicting the combined effects of multiple physiological risk factors on all-cause mortality.

Scientific reports Jul 6, 2024
Understanding the combined effects of risk factors on all-cause mortality is crucial for implementing effective risk stratification and designing targeted interventions, but such combined effects are understudied. We aim to use survival-tree based ma...
Mortality Leukocyte Count Glomerular Filtration Rate Humans Cotinine Female Cause of Death Adult Risk Factors Machine Learning Risk Assessment Male Aged Biomarkers Blood Glucose Nutrition Surveys Middle Aged
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Functional data geometric morphometrics with machine learning for craniodental shape classification in shrews.

Scientific reports Jul 6, 2024
This work proposes a functional data analysis approach for morphometrics in classifying three shrew species (S. murinus, C. monticola, and C. malayana) from Peninsular Malaysia. Functional data geometric morphometrics (FDGM) for 2D landmark data is i...
Shrews Principal Component Analysis Discriminant Analysis Skull Machine Learning Animals Support Vector Machine Malaysia
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Clinical efficacy of pre-trained large language models through the lens of aphasia.

Scientific reports Jul 6, 2024
The rapid development of large language models (LLMs) motivates us to explore how such state-of-the-art natural language processing systems can inform aphasia research. What kind of language indices can we derive from a pre-trained LLM? How do they d...
Models, Theoretical Natural Language Processing Aphasia Humans Language
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Positive public attitudes towards agricultural robots.

Scientific reports Jul 6, 2024
Robot technologies could lead to radical changes in farming. But what does the public know and think about agricultural robots? Recent experience with other agricultural technologies-such as plant genetic engineering-shows that public perceptions can...
Humans Female Germany Aged Agriculture Attitude Young Adult Robotics Public Opinion Middle Aged Adult Crops, Agricultural Surveys and Questionnaires Male Adolescent
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A privacy-preserving platform oriented medical healthcare and its application in identifying patients with candidemia.

Scientific reports Jul 6, 2024
Federated learning (FL) has emerged as a significant method for developing machine learning models across multiple devices without centralized data collection. Candidemia, a critical but rare disease in ICUs, poses challenges in early detection and t...
China Antifungal Agents Candidemia Intensive Care Units Female Male Humans Machine Learning Delivery of Health Care
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Artificial intelligence detects awareness of functional relation with the environment in 3 month old babies.

Scientific reports Jul 6, 2024
A recent experiment probed how purposeful action emerges in early life by manipulating infants' functional connection to an object in the environment (i.e., tethering an infant's foot to a colorful mobile). Vicon motion capture data from multiple inf...
Environment Deep Learning Awareness Movement Humans Neural Networks, Computer Artificial Intelligence Female Male Infant
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Identification and validation of potential common biomarkers for papillary thyroid carcinoma and Hashimoto's thyroiditis through bioinformatics analysis and machine learning.

Scientific reports Jul 6, 2024
There is a growing body of evidence suggesting that Hashimoto's thyroiditis (HT) may contribute to an increased risk of papillary thyroid carcinoma (PTC). However, the exact relationship between HT and PTC is still not fully understood. The objective...
Humans Neural Networks, Computer Thyroid Neoplasms Protein Interaction Maps Gene Regulatory Networks Machine Learning Biomarkers, Tumor Gene Expression Profiling Thyroid Cancer, Papillary Computational Biology Gene Expression Regulation, Neoplastic Hashimoto Disease
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PND-Net: plant nutrition deficiency and disease classification using graph convolutional network.

Scientific reports Jul 5, 2024
Crop yield production could be enhanced for agricultural growth if various plant nutrition deficiencies, and diseases are identified and detected at early stages. Hence, continuous health monitoring of plant is very crucial for handling plant stress....
Deep Learning Plant Leaves Plant Diseases Humans Neural Networks, Computer
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An appearance quality classification method for Auricularia auricula based on deep learning.

Scientific reports Jul 5, 2024
The intelligent appearance quality classification method for Auricularia auricula is of great significance to promote this industry. This paper proposes an appearance quality classification method for Auricularia auricula based on the improved Faster...
Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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AI driven analysis of MRI to measure health and disease progression in FSHD.

Scientific reports Jul 5, 2024
Facioscapulohumeral muscular dystrophy (FSHD) affects roughly 1 in 7500 individuals. While at the population level there is a general pattern of affected muscles, there is substantial heterogeneity in muscle expression across- and within-patients. Th...
Artificial Intelligence Female Adult Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Muscle, Skeletal Muscular Dystrophy, Facioscapulohumeral Male Middle Aged Disease Progression
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