Primary Care

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

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Pulse Wave Velocity and Machine Learning to Predict Cardiovascular Outcomes in Prediabetic and Diabetic Populations.

Few studies have addressed the predictive value of arterial stiffness determined by pulse wave veloc...

Dec 2019 31820120
Developing algorithms to predict adult onset internalizing disorders: An ensemble learning approach.

A growing literature is utilizing machine learning methods to develop psychopathology risk algorithm...

Dec 2019 31864158
A novel computer-aided diagnosis system for the early detection of hypertension based on cerebrovascular alterations.

Hypertension is a leading cause of mortality in the USA. While simple tools such as the sphygmomanom...

Dec 2019 31830715
Building an Otoscopic screening prototype tool using deep learning.

BACKGROUND: Otologic diseases are often difficult to diagnose accurately for primary care providers....

Nov 2019 31771647
Point-of-care cervical cancer screening using deep learning-based microholography.

Most deaths (80%) from cervical cancer occur in regions lacking adequate screening infrastructures o...

Nov 2019 31879529
DualWMDR: Detecting epistatic interaction with dual screening and multifactor dimensionality reduction.

Detecting epistatic interaction is a typical way of identifying the genetic susceptibility of comple...

Nov 2019 31705708
Different spexin level in obese vs normal weight children and its relationship with obesity related risk factors.

BACKGROUND AND AIMS: Spexin (SPX) is a novel peptide recently discovered as an important regulatory ...

Nov 2019 32139252
Identification of repurposable drugs with beneficial effects on glucose control in type 2 diabetes using machine learning.

Despite effective medications, rates of uncontrolled glucose levels in type 2 diabetes remain high. ...

Nov 2019 31763043
Electrophysiological assessment of plant status outside a Faraday cage using supervised machine learning.

Living organisms have evolved complex signaling networks to drive appropriate physiological processe...

Nov 2019 31745185
Detecting liver fibrosis using a machine learning-based approach to the quantification of the heart-induced deformation in tagged MR images.

Liver disease causes millions of deaths per year worldwide, and approximately half of these cases ar...

Nov 2019 31730265
Assessing the accuracy of machine-assisted abstract screening with DistillerAI: a user study.

BACKGROUND: Web applications that employ natural language processing technologies to support systema...

Nov 2019 31727159
Liver disease screening based on densely connected deep neural networks.

Liver disease is an important public health problem. Liver Function Tests (LFT) is the most achievab...

Nov 2019 31891840
A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.

BACKGROUND: Diabetes and cardiovascular disease are two of the main causes of death in the United St...

Nov 2019 31694707
Statistical and machine learning methodology for abdominal aortic aneurysm prediction from ultrasound screenings.

A method of analysis of a database of patients (n = 10 329) screened for an abdominal aortic aneurys...

Nov 2019 31682022
Synthesis, Type II diabetes inhibitory activity, antimicrobial evaluation and docking studies of indeno[1,2-]pyrazol-4(1)-ones.

We report a convenient and efficient synthesis of indeno[1,2-]pyrazol-4(1)-ones () by the reaction o...

Oct 2019 32435124
A machine learning approach for the prediction of pulmonary hypertension.

BACKGROUND: Machine learning (ML) is a powerful tool for identifying and structuring several informa...

Oct 2019 31652290
Development and validation of deep learning algorithms for scoliosis screening using back images.

Adolescent idiopathic scoliosis is the most common spinal disorder in adolescents with a prevalence ...

Oct 2019 31667364
Is obesity a contraindication for kidney donation?

INTRODUCTION: To enlarge the donor pool, kidney donors with obesity have been considered. We hypothe...

Oct 2019 31637602
Machine learning of human plasma lipidomes for obesity estimation in a large population cohort.

Obesity is associated with changes in the plasma lipids. Although simple lipid quantification is rou...

Oct 2019 31626640
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