AIMC Topic: Cohort Studies

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Data Science-Based Analysis of Patient Subgroup Structures Suggest Effects of Rhinitis on All Chemosensory Perceptions in the Upper Airways.

Chemical senses Jan 1, 2021
Viral rhinitis contributes significantly to olfactory dysfunction, but it is unclear how many patients have other chemosensory symptoms in addition to olfactory loss. This was addressed in the present reanalysis of data previously published in Pelleg...
Respiratory System Olfaction Disorders Male Middle Aged Data Science Adolescent Cohort Studies Rhinitis Acute Disease Perception Female Aged Young Adult Adult Humans Machine Learning Prospective Studies
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Constipation Predominant Irritable Bowel Syndrome and Functional Constipation Are Not Discrete Disorders: A Machine Learning Approach.

The American journal of gastroenterology Jan 1, 2021
INTRODUCTION: Chronic constipation is classified into 2 main syndromes, irritable bowel syndrome with constipation (IBS-C) and functional constipation (FC), on the assumption that they differ along multiple clinical characteristics and are plausibly ...
Female Adult Male Middle Aged Humans Supervised Machine Learning Constipation Cost of Illness Irritable Bowel Syndrome Cohort Studies Chronic Disease Principal Component Analysis Abdominal Pain
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Impact of Confounding Thoracic Tubes and Pleural Dehiscence Extent on Artificial Intelligence Pneumothorax Detection in Chest Radiographs.

Investigative radiology Dec 1, 2020
OBJECTIVES: We hypothesized that published performances of algorithms for artificial intelligence (AI) pneumothorax (PTX) detection in chest radiographs (CXRs) do not sufficiently consider the influence of PTX size and confounding effects caused by t...
Humans Artificial Intelligence Retrospective Studies Image Processing, Computer-Assisted Radiography, Thoracic Pleural Cavity Pneumothorax Female Case-Control Studies Cohort Studies ROC Curve
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Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients With Cancer.

JAMA oncology Nov 1, 2020
IMPORTANCE: Machine learning (ML) algorithms can identify patients with cancer at risk of short-term mortality to inform treatment and advance care planning. However, no ML mortality risk prediction algorithm has been prospectively validated in oncol...
Life Expectancy Neoplasms Cohort Studies Outpatients Machine Learning Prospective Studies Prognosis Retrospective Studies Female Aged Middle Aged Humans
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Portable Automated Surveillance of Surgical Site Infections Using Natural Language Processing: Development and Validation.

Annals of surgery Oct 1, 2020
OBJECTIVES: We present the development and validation of a portable NLP approach for automated surveillance of SSIs.
Surgical Wound Infection Quality Improvement Surgical Procedures, Operative Mobile Applications Population Surveillance Natural Language Processing Humans Female Aged Adult Male Middle Aged Cohort Studies
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Commentary: Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort.

Neurosurgery Sep 15, 2020
Cohort Studies Patient Readmission Humans Machine Learning
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Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort.

Neurosurgery Sep 15, 2020
BACKGROUND: Unplanned hospital readmissions constitute a significant cost burden in healthcare. Identifying factors contributing to readmission risk presents opportunities for actionable change to reduce readmission rates.
Humans Machine Learning Retrospective Studies Female Risk Factors Spinal Diseases Middle Aged Cohort Studies Patient Discharge Patient Readmission Aged Adult Male
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Prediction of survival rate and effect of drugs on cancer patients with somatic mutations of genes: An AI-based approach.

Chemical biology & drug design Sep 1, 2020
The causal role of somatic mutation and its interrelationship with gene expression profile during tumor development has already been observed, which plays a major role to decide the cancer grades and overall survival. Accurate and robust prediction o...
Polymorphism, Single Nucleotide Humans Neoplasms Machine Learning Mutation Antineoplastic Agents Survival Rate Transcriptome Cohort Studies
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Metabolic activity of human blastocysts correlates with their morphokinetics, morphological grade, KIDScore and artificial intelligence ranking.

Human reproduction (Oxford, England) Sep 1, 2020
STUDY QUESTION: Is there a relationship between blastocyst metabolism and biomarkers of embryo viability?
Embryo, Mammalian Humans Artificial Intelligence Embryo Culture Techniques Retrospective Studies Aged Pregnancy Female Cohort Studies Blastocyst
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Gut Microbiota in T1DM-Onset Pediatric Patients: Machine-Learning Algorithms to Classify Microorganisms as Disease Linked.

The Journal of clinical endocrinology and metabolism Sep 1, 2020
AIMS: The purpose of this work is to find the gut microbial fingerprinting of pediatric patients with type 1 diabetes.
Humans Age of Onset Machine Learning Metagenome Feces Algorithms Adolescent Cohort Studies Diabetes Mellitus, Type 1 Female Child, Preschool Gastrointestinal Microbiome Risk Factors Child Male
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