AIMC Topic: Cohort Studies

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Machine learning approach to investigate pregnancy and childbirth risk factors of sleep problems in early adolescence: Evidence from two cohort studies.

Computer methods and programs in biomedicine Aug 28, 2024
BACKGROUND: This study aimed to predict early adolescent sleep problems using pregnancy and childbirth risk factors through machine learning algorithms, and to evaluate model performance internally and externally.
Adolescent Humans Cohort Studies Pregnancy Machine Learning ROC Curve Female Algorithms Bayes Theorem Risk Factors China Parturition Sleep Wake Disorders
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Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study.

Journal of medical Internet research Aug 26, 2024
BACKGROUND: Diagnostic errors are an underappreciated cause of preventable mortality in hospitals and pose a risk for severe patient harm and increase hospital length of stay.
Female Aged Diagnostic Errors Male Patient Safety Retrospective Studies Electronic Health Records Middle Aged Cohort Studies United States Natural Language Processing Humans Machine Learning
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Advancing toward precision migraine treatment: Predicting responses to preventive medications with machine learning models based on patient and migraine features.

Headache Aug 23, 2024
OBJECTIVE: To develop machine learning models using patient and migraine features that can predict treatment responses to commonly used migraine preventive medications.
Adrenergic beta-Antagonists Antidepressive Agents, Tricyclic Cohort Studies Treatment Outcome Migraine Disorders Topiramate Adult Male Middle Aged Humans Machine Learning Precision Medicine Female
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Finding the Needle in the Haystack: Can Natural Language Processing of Students' Evaluations of Teachers Identify Teaching Concerns?

Journal of general internal medicine Aug 21, 2024
BACKGROUND: Institutions rely on student evaluations of teaching (SET) to ascertain teaching quality. Manual review of narrative comments can identify faculty with teaching concerns but can be resource and time-intensive.
Cohort Studies Natural Language Processing Faculty, Medical Humans Teaching Retrospective Studies Students, Medical
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Machine learning-based reproducible prediction of type 2 diabetes subtypes.

Diabetologia Aug 21, 2024
AIMS/HYPOTHESIS: Clustering-based subclassification of type 2 diabetes, which reflects pathophysiology and genetic predisposition, is a promising approach for providing personalised and effective therapeutic strategies. Ahlqvist's classification is c...
Humans Machine Learning Female Aged Male Middle Aged Glycated Hemoglobin Cohort Studies Diabetes Mellitus, Type 2 Insulin Resistance
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Trajectory on postpartum depression of Chinese women and the risk prediction models: A machine-learning based three-wave follow-up research.

Journal of affective disorders Aug 16, 2024
BACKGROUND: Our study delves into postpartum depression (PPD) extending observation up to six months postpartum, addressing the gap in long-term follow-ups and uncover critical intervention points.
East Asian People Depression, Postpartum Humans Prevalence Machine Learning China Pregnancy Cohort Studies Female Follow-Up Studies Risk Factors Young Adult Adult
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Tree-based ensemble machine learning models in the prediction of acute respiratory distress syndrome following cardiac surgery: a multicenter cohort study.

Journal of translational medicine Aug 15, 2024
BACKGROUND: Acute respiratory distress syndrome (ARDS) after cardiac surgery is a severe respiratory complication with high mortality and morbidity. Traditional clinical approaches may lead to under recognition of this heterogeneous syndrome, potenti...
Area Under Curve Cardiac Surgical Procedures Cohort Studies ROC Curve Respiratory Distress Syndrome Humans Machine Learning Female Aged Male Middle Aged
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Admission blood tests predicting survival of SARS-CoV-2 infected patients: a practical implementation of graph convolution network in imbalance dataset.

BMC infectious diseases Aug 9, 2024
BACKGROUND: Predicting an individual's risk of death from COVID-19 is essential for planning and optimising resources. However, since the real-world mortality rate is relatively low, particularly in places like Hong Kong, this makes building an accur...
Humans Neural Networks, Computer Aged Adult Male Middle Aged Machine Learning COVID-19 Female SARS-CoV-2 Hematologic Tests Cohort Studies Hong Kong Proportional Hazards Models
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Significance of plasma p-tau217 in predicting long-term dementia risk in older community residents: Insights from machine learning approaches.

Alzheimer's & dementia : the journal of the Alzheimer's Association Aug 8, 2024
INTRODUCTION: Whether plasma biomarkers play roles in predicting incident dementia among the general population is worth exploring.
Female Risk Factors Aged Aged, 80 and over Male Independent Living Dementia Humans Cohort Studies Machine Learning tau Proteins Biomarkers
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Exploring the accuracy of tooth loss prediction between a clinical periodontal prognostic system and a machine learning prognostic model.

Journal of clinical periodontology Aug 7, 2024
AIM: The aim of this analysis was to compare a clinical periodontal prognostic system and a developed and externally validated artificial intelligence (AI)-based model for the prediction of tooth loss in periodontitis patients under supportive period...
Prognosis Female Aged Adult Humans Neural Networks, Computer Machine Learning Logistic Models Predictive Value of Tests Periodontitis Tooth Loss Sensitivity and Specificity Male Middle Aged Cohort Studies
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