Primary Care

Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

12,905 articles

Evaluation and Identification of the Neuroprotective Compounds of Xiaoxuming Decoction by Machine Learning: A Novel Mode to Explore the Combination Rules in Traditional Chinese Medicine Prescription.

Xiaoxuming decoction (XXMD), a classic traditional Chinese medicine (TCM) prescription, has been use...

Jul 2019 31360720

Utilizing hybrid functional fuzzy wavelet neural networks with a teaching learning-based optimization algorithm for medical disease diagnosis.

Accurate medical disease diagnosis is considered to be an important classification problem. The main...

Jul 2019 31356992

Fibroblast growth factor 23 and tubular sodium handling in young patients with incipient chronic kidney disease.

BACKGROUND: Experimental studies have shown fibroblast growth factor 23 FGF23)-mediated upregulation...

Jul 2019 32699619

AGL-Score: Algebraic Graph Learning Score for Protein-Ligand Binding Scoring, Ranking, Docking, and Screening.

Although algebraic graph theory-based models have been widely applied in physical modeling and molec...

Jul 2019 31257871

[Maturity Onset Diabetes of the Young: case report].

BACKGROUND: Maturity Onset Diabetes of the Young (MODY) is a type of diabetes that results from muta...

Jul 2019 32242650

A Ligand-Based Virtual Screening Method Using Direct Quantification of Generalization Ability.

Machine learning plays an important role in ligand-based virtual screening. However, conventional ma...

Jun 2019 31262005

Scale-space approximated convolutional neural networks for retinal vessel segmentation.

BACKGROUND AND OBJECTIVE: Retinal fundus images are widely used to diagnose retinal diseases and can...

Jun 2019 31416552

Screening and Assessment of Bone Health in Indian Women Using an Indigenous ELISA of Human Osteocalcin a Bone Turnover Marker.

Osteoporosis a major public health problem of the elderly, is associated with substantial morbidity ...

Jun 2019 33013013

Healthcare uses of artificial intelligence: Challenges and opportunities for growth.

Forms of Artificial Intelligence (AI), like deep learning algorithms and neural networks, are being ...

Jun 2019 31234654

Identifying pre-disease signals before metabolic syndrome in mice by dynamical network biomarkers.

The establishment of new therapeutic strategies for metabolic syndrome is urgently needed because me...

Jun 2019 31235708

Data-Driven Automated Cardiac Health Management with Robust Edge Analytics and De-Risking.

Remote and automated healthcare management has shown the prospective to significantly impact the fut...

Jun 2019 31216659

Conservation region finding for influenza A viruses by machine learning methods of N-linked glycosylation sites and B-cell epitopes.

Influenza type A, a serious infectious disease of the human respiratory tract, poses an enormous thr...

Jun 2019 31220511

Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography.

BACKGROUND AND OBJECTIVES: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric ima...

Jun 2019 31416547

Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model.

The use of artificial intelligence in medicine is currently an issue of great interest, especially w...

Jun 2019 31197490

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Evaluation and Identification of the Neuroprotective Compounds of Xiaoxuming Decoction by Machine Learning: A Novel Mode to Explore the Combination Rules in Traditional Chinese Medicine Prescription.

Utilizing hybrid functional fuzzy wavelet neural networks with a teaching learning-based optimization algorithm for medical disease diagnosis.

Fibroblast growth factor 23 and tubular sodium handling in young patients with incipient chronic kidney disease.

AGL-Score: Algebraic Graph Learning Score for Protein-Ligand Binding Scoring, Ranking, Docking, and Screening.

[Maturity Onset Diabetes of the Young: case report].

A Ligand-Based Virtual Screening Method Using Direct Quantification of Generalization Ability.

Scale-space approximated convolutional neural networks for retinal vessel segmentation.

Screening and Assessment of Bone Health in Indian Women Using an Indigenous ELISA of Human Osteocalcin a Bone Turnover Marker.

Healthcare uses of artificial intelligence: Challenges and opportunities for growth.

Identifying pre-disease signals before metabolic syndrome in mice by dynamical network biomarkers.

Data-Driven Automated Cardiac Health Management with Robust Edge Analytics and De-Risking.

Conservation region finding for influenza A viruses by machine learning methods of N-linked glycosylation sites and B-cell epitopes.

Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography.

Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model.

Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics.

A Review of Machine Learning Techniques for Keratoconus Detection and Refractive Surgery Screening.

Prediction of Nephropathy in Type 2 Diabetes: An Analysis of the ACCORD Trial Applying Machine Learning Techniques.

Promising Artificial Intelligence-Machine Learning-Deep Learning Algorithms in Ophthalmology.

A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models.

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.

Predicting nationwide obesity from food sales using machine learning.

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