AI Medical Compendium Journal:
International journal of clinical practice

Showing 11 to 15 of 15 articles

In vitro and in vivo performance modelling and optimisation of different dry powder inhalers: A complementary study of neural networks, genetic algorithms and decision trees.

International journal of clinical practice Nov 11, 2020
INTRODUCTION: Aerosol delivery from DPIs could be affected by different factors. This study aimed to evaluate and predict the effects of different factors on drug delivery from DPIs.
Humans Neural Networks, Computer Algorithms Decision Trees Administration, Inhalation Dry Powder Inhalers Bronchodilator Agents
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Long-term outcomes of minimally invasive surgeries in partial nephrectomy. Robot or laparoscopy?

International journal of clinical practice Nov 5, 2020
BACKGROUND: To compare long-term oncological and renal functional outcomes of laparoscopic and robotic partial nephrectomy for small renal masses.
Humans Retrospective Studies Treatment Outcome Robotics Minimally Invasive Surgical Procedures Laparoscopy Kidney Neoplasms Nephrectomy
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Prognostic machine learning models for COVID-19 to facilitate decision making.

International journal of clinical practice Sep 29, 2020
An increasing number of COVID-19 cases worldwide has overwhelmed the healthcare system. Physicians are struggling to allocate resources and to focus their attention on high-risk patients, partly because early identification of high-risk individuals i...
Humans Machine Learning Pandemics COVID-19 Algorithms Prognosis Clinical Decision-Making
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Importance of general adiposity, visceral adiposity and vital signs in predicting blood biomarkers using machine learning.

International journal of clinical practice Aug 26, 2020
INTRODUCTION: Blood biomarkers are measured for their ability to characterise physiological and disease states. Much is known about linear relations between blood biomarker concentrations and individual vital signs or adiposity indexes (eg, BMI). Com...
Machine Learning Biomarkers Risk Factors Cross-Sectional Studies Body Mass Index Blood Pressure Waist Circumference Adiposity
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Machine learning to predict cardiovascular risk.

International journal of clinical practice Aug 4, 2019
AIMS: To analyse the predictive capacity of 15 machine learning methods for estimating cardiovascular risk in a cohort and to compare them with other risk scales.
Humans Machine Learning Algorithms Female Risk Factors Male Cardiovascular Diseases Middle Aged Cohort Studies Follow-Up Studies Predictive Value of Tests Area Under Curve Bayes Theorem Spain
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