AIMC Topic: Constipation

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An application of deep learning model InceptionTime to predict nausea, vomiting, diarrhoea, and constipation using the gastro-intestinal pacemaker activity drug database (GIPADD).

Scientific reports Apr 16, 2025
The accurate preclinical prediction of adverse drug reactions (ADRs), such as nausea and vomiting, remains a challenge. The Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD) ( http://www.gutrhythm.com/public_database ) is a new source of el...
Area Under Curve Feasibility Studies Drug-Related Side Effects and Adverse Reactions Gastrointestinal Tract Big Data Diarrhea ROC Curve Biological Clocks Electrodiagnosis Humans Digestive System Diseases Reproducibility of Results Predictive Learning Models Deep Learning Constipation Nausea Vomiting Databases, Pharmaceutical
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Analysis of factors that indicated surgery in 400 patients submitted to a complete diagnostic workup for obstructed defecation syndrome and rectal prolapse using a supervised machine learning algorithm.

Techniques in coloproctology Jun 25, 2024
BACKGROUND: Patient selection is extremely important in obstructed defecation syndrome (ODS) and rectal prolapse (RP) surgery. This study assessed factors that guided the indications for ODS and RP surgery and their specific role in our decision-maki...
Humans Algorithms Prospective Studies Retrospective Studies Patient Selection Clinical Decision-Making Adult Constipation Defecography Female Middle Aged Defecation Aged Syndrome Rectal Prolapse Supervised Machine Learning
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Prediction of quality markers in Maren Runchang pill for constipation using machine learning and network pharmacology.

Molecular omics May 7, 2024
Maren Runchang pill (MRRCP) is a Chinese patent medicine used to treat constipation in clinics. It has multi-component and multi-target characteristics, and there is an urgent need to screen markers to ensure its quality. The aim of this study was to...
Machine Learning Biomarkers Molecular Docking Simulation Medicine, Chinese Traditional Humans Drugs, Chinese Herbal Tandem Mass Spectrometry Constipation Network Pharmacology
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Robotic surgery for bowel endometriosis: a multidisciplinary management of a complex entity.

Techniques in coloproctology Feb 8, 2024
BACKGROUND: Bowel endometriosis impacts quality of life. Treatment requires complex surgical procedures with associated morbidity. Precision approach with robotic surgery leads to organ preservation. Bowel endometriosis requires a multidisciplinary m...
Endometriosis Constipation Humans Female Adult Quality of Life Robotics Robotic Surgical Procedures
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Video-Based Deep Learning to Detect Dyssynergic Defecation with 3D High-Definition Anorectal Manometry.

Digestive diseases and sciences Nov 19, 2022
BACKGROUND: We developed a deep learning algorithm to evaluate defecatory patterns to identify dyssynergic defecation using 3-dimensional high definition anal manometry (3D-HDAM).
Defecation Ataxia Deep Learning Constipation Anal Canal Female Manometry Male Middle Aged Humans
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Deep learning-based classification of rectal fecal retention and analysis of fecal properties using ultrasound images in older adult patients.

Japan journal of nursing science : JJNS May 11, 2020
AIM: The present study aimed to analyze the use of machine learning in ultrasound (US)-based fecal retention assessment.
Feces Rectum Constipation Humans Aged Deep Learning
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Constipation and risk of death and cardiovascular events.

Atherosclerosis Dec 23, 2018
BACKGROUND AND AIMS: Constipation is one of the most frequent symptoms encountered in daily clinical practice and is implicated in the development of atherosclerosis, potentially through altered gut microbiota. However, little is known about its asso...
Laxatives Brain Ischemia Coronary Disease Constipation Humans Time Factors Middle Aged Female United States Risk Factors Risk Assessment Cause of Death Aged Prognosis Incidence Stroke Male Retrospective Studies
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Nutritional and lifestyle predictors of rectal bleeding in functional constipation: A machine learning approach.

International journal of medical informatics Sep 1, 2025
BACKGROUND: Rectal bleeding among young adults is an increasingly common clinical concern often linked with chronic constipation and unhealthy lifestyle habits. Early identification of at-risk individuals through machine learning models-based approac...
Life Style Dietary Fiber Constipation Gastrointestinal Hemorrhage Humans Surveys and Questionnaires Machine Learning Adolescent Risk Factors Female ROC Curve Young Adult Body Mass Index Adult Male
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Identifying Symptom Information in Clinical Notes Using Natural Language Processing.

Nursing research May 13, 2025
BACKGROUND: Symptoms are a core concept of nursing interest. Large-scale secondary data reuse of notes in electronic health records (EHRs) has the potential to increase the quantity and quality of symptom research. However, the symptom language used ...
Humans Electronic Health Records Depression Natural Language Processing Pattern Recognition, Automated Constipation Vocabulary, Controlled Fatigue Symptom Assessment Sleep Wake Disorders Tachycardia
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Megarrectosigmoides por constipación crónica idiopática, sigmoidectomía con robot en el paciente pediátrico. Primer caso en México.

Cirugia y cirujanos Jan 1, 2022
We present the first pediatric case of Da Vinci Xi robot-assisted video sigmoidectomy in a 9-year-old male with chronic idiopathic constipation refractory to medical treatment and megarectosigmoid. He underwent sigmoidectomy with primary anastomosis ...
Retrospective Studies Male Child Humans Mexico Robotics Anastomosis, Surgical Constipation
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