AIMC Topic: Case-Control Studies

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Finding Barrett's oesophagus: is there a machine learning approach in our future?

The Lancet. Digital health Dec 23, 2019
Adenocarcinoma Humans Esophageal Neoplasms Machine Learning Barrett Esophagus Case-Control Studies
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Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach.

The Lancet. Digital health Dec 5, 2019
BACKGROUND: Screening for Barrett's Oesophagus (BE) relies on endoscopy which is invasive and has a low yield. This study aimed to develop and externally validate a simple symptom and risk-factor questionnaire to screen for patients with BE.
Case-Control Studies United Kingdom Barrett Esophagus Aged Male Middle Aged Risk Assessment Machine Learning Forecasting Prospective Studies Humans Female
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Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease.

Sensors (Basel, Switzerland) Dec 5, 2019
Early diagnosis of Parkinson's diseases (PD) is challenging; applying machine learning (ML) models to gait characteristics may support the classification process. Comparing performance of ML models used in various studies can be problematic due to di...
Wearable Electronic Devices ROC Curve Parkinson Disease Area Under Curve Walking Gait Accelerometry Aged Male Middle Aged Case-Control Studies Humans Machine Learning Female
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Machine learning distilled metabolite biomarkers for early stage renal injury.

Metabolomics : Official journal of the Metabolomic Society Dec 5, 2019
INTRODUCTION: With chronic kidney disease (CKD), kidney becomes damaged overtime and fails to clean blood. Around 15% of US adults have CKD and nine in ten adults with CKD do not know they have it.
Humans Machine Learning Renal Insufficiency, Chronic Glomerular Filtration Rate Mass Spectrometry Creatinine Chromatography, High Pressure Liquid Biomarkers Female Aged Adult Male Middle Aged Severity of Illness Index Case-Control Studies
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Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features.

Sensors (Basel, Switzerland) Dec 3, 2019
The purpose of this paper is to evaluate the feasibility of diagnosing multiple sclerosis (MS) using optical coherence tomography (OCT) data and a support vector machine (SVM) as an automatic classifier. Forty-eight MS patients without symptoms of op...
Case-Control Studies Diagnosis, Computer-Assisted Support Vector Machine Area Under Curve Machine Learning Female Adult Male Normal Distribution Optic Neuritis Tomography, Optical Coherence Retina Sex Factors Multiple Sclerosis Humans
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Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches.

BMC medical informatics and decision making Dec 2, 2019
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ultimately receive a formal diagnosis in United Kingdom health systems and many receive it late in the...
Aged Male Risk Assessment Case-Control Studies Algorithms Retrospective Studies Electronic Health Records Female Support Vector Machine Bayes Theorem United Kingdom State Medicine Humans Dementia Primary Health Care Computational Biology Neural Networks, Computer Logistic Models Machine Learning
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Usefulness of presepsin as diagnostic and prognostic marker of sepsis in daily clinical practice.

Journal of infection in developing countries Nov 30, 2019
INTRODUCTION: Sepsis represents a major cause of morbidity and mortality in critically ill patients. Early diagnosis and appropriate treatment have a crucial influence on survival. The aim of this study was to evaluate the diagnostic and prognostic r...
Humans Biomarkers Prognosis Female Male Case-Control Studies Sepsis APACHE Area Under Curve Lactic Acid Peptide Fragments Lipopolysaccharide Receptors
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A comparison of machine learning techniques for classification of HIV patients with antiretroviral therapy-induced mitochondrial toxicity from those without mitochondrial toxicity.

BMC medical research methodology Nov 27, 2019
BACKGROUND: Antiretroviral therapy (ART) has significantly reduced HIV-related morbidity and mortality. However, therapeutic benefit of ART is often limited by delayed drug-associated toxicity. Nucleoside reverse transcriptase inhibitors (NRTIs) are ...
Dideoxynucleotides Machine Learning Algorithms Biomarkers Case-Control Studies Humans HIV Infections Anti-Retroviral Agents Deoxyribonucleotides Ribonucleotides
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Different spexin level in obese vs normal weight children and its relationship with obesity related risk factors.

Nutrition, metabolism, and cardiovascular diseases : NMCD Nov 23, 2019
BACKGROUND AND AIMS: Spexin (SPX) is a novel peptide recently discovered as an important regulatory adipokine in obesity and related metabolic diseases. The aim of the current study was to determine the potential role of Circulating levels of SPX in ...
Male Case-Control Studies Adolescent Child Humans Biomarkers Female Risk Factors Insulin Resistance Down-Regulation Pediatric Obesity Peptide Hormones Age Factors Weight Gain Adiposity
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[Expression of plasma microRNA in patients with acromegaly].

Problemy endokrinologii Nov 23, 2019
BACKGROUND: microRNA is a class of small non-coding RNA molecules involved in posttranscriptional regulation of gene expression. MicroRNAs are detectable in blood in stable concentrations, which makes them promising biomarkers for various diseases.
Biomarkers Female Case-Control Studies Humans Adult Computational Biology Male MicroRNAs Acromegaly
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