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Abdominal Pain

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Diagnostic Machine Learning Models for Acute Abdominal Pain: Towards an e-Learning Tool for Medical Students.

Studies in health technology and informatics
Computer-aided learning systems (e-learning systems) can help medical students gain more experience with diagnostic reasoning and decision making. Within this context, providing feedback that matches students' needs (i.e. personalised feedback) is bo...

Does she have adnexal torsion? Prediction of adnexal torsion in reproductive age women.

Archives of gynecology and obstetrics
PURPOSE: The aim of this study was to investigate the association of clinical, laboratory and ultrasound findings with the surgical diagnosis of adnexal torsion in a retrospective cohort of women operated for suspected torsion.

[A Case of Eosinophilic Enteritis Needed to Distinguish from a Tumor of the Small Intestine].

Gan to kagaku ryoho. Cancer & chemotherapy
A 75-year-old woman was diagnosed with aplastic anemia 6 months ago and was under follow-up at our hospital. She had originallypresented to our hospital because of ongoing diarrhea and abdominal pain. Her blood tests showed a rise in inflammatorymark...

[Serous cystadenoma in supernumerary ovary. Case report and literature review].

Ginecologia y obstetricia de Mexico
BACKGROUND: The ovaries accessories, ectopic and supernumerary represent a rare gynecological disorder; incidence ranges from 129,000 to 1:700,000 cases.

Clinical features of mesenteric lymphatic malformation in children.

Journal of pediatric surgery
BACKGROUND: Mesenteric lymphatic malformations (MLs) are a heterogeneous group of benign diseases of the lymphatic system that present with cystic dilated lymphatics of the mesentery. MLs are rare and represent less than 5% of all lymphatic malformat...

DrKnow: A Diagnostic Learning Tool with Feedback from Automated Clinical Decision Support.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Providing medical trainees with effective feedback is critical to the successful development of their diagnostic reasoning skills. We present the design of DrKnow, a web-based learning application that utilises a clinical decision support system (CDS...

Diagnosis of pain in the right iliac fossa. A new diagnostic score based on Decision-Tree and Artificial Neural Network Methods.

Cirugia espanola
INTRODUCTION: Pain in the right iliac fossa (RIF) continues to pose diagnostic challenges. The objective of this study is the development of a RIF pain diagnosis model based on classification trees of type CHAID (Chi-Square Automatic Interaction Dete...

Characterization of clinical patterns of dengue patients using an unsupervised machine learning approach.

BMC infectious diseases
BACKGROUND: Despite the greater sensitivity of the new dengue clinical classification proposed by the World Health Organization (WHO) in 2009, there is a need for a better definition of warning signs and clinical progression of dengue cases. Classic ...

Defining and distinguishing infant behavioral states using acoustic cry analysis: is colic painful?

Pediatric research
BACKGROUND: To characterize acoustic features of an infant's cry and use machine learning to provide an objective measurement of behavioral state in a cry-translator. To apply the cry-translation algorithm to colic hypothesizing that these cries soun...

Study on intelligent syndrome differentiation neural network model of stomachache in traditional Chinese medicine based on the real world.

Medicine
Stomachache is not only disease name of Traditional Chinese medicine (TCM) but also the clinical symptom. It is a common and multiple diseases. TCM has its particular advantage in clinical treatment of stomachache. Syndrome differentiation is an impo...