AIMC Topic: Bayes Theorem

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Identifying self-disclosed anxiety on Twitter: A natural language processing approach.

Psychiatry research Nov 3, 2023
BACKGROUND: Text analyses of social media posts are a promising source of mental health information. This study used natural language processing to explore distinct language patterns on Twitter related to self-reported anxiety diagnosis.
Social Media Natural Language Processing Bayes Theorem Anxiety Anxiety Disorders Humans
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Design and implementation of adolescent health Latin dance teaching system under artificial intelligence technology.

PloS one Nov 2, 2023
Since various dance teaching systems have attracted much attention with the development of Artificial Intelligence (AI) technology, this paper improves the recognition performance of Latin dance teaching systems by optimizing the action recognition m...
Adolescent Artificial Intelligence Adolescent Health Humans Bayes Theorem Algorithms Dancing
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In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study.

BMC medical informatics and decision making Nov 1, 2023
BACKGROUND: Falls are one of the most common accidents in medical institutions, which can threaten the safety of inpatients and negatively affect their prognosis. Herein, we developed a machine learning (ML) model for fall prediction in patients with...
Algorithms Retrospective Studies Humans Bayes Theorem Machine Learning Hospitals Stroke Case-Control Studies
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Coherent Blending of Biophysics-Based Knowledge with Bayesian Neural Networks for Robust Protein Property Prediction.

ACS synthetic biology Oct 27, 2023
Predicting properties of proteins is of interest for basic biological understanding and protein engineering alike. Increasingly, machine learning (ML) approaches are being used for this task. However, the accuracy of such ML models typically degrades...
Bayes Theorem Machine Learning Proteins Neural Networks, Computer
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Bayesian parametric models for survival prediction in medical applications.

BMC medical research methodology Oct 26, 2023
BACKGROUND: Evidence-based treatment decisions in medicine are made founded on population-level evidence obtained during randomized clinical trials. In an era of personalized medicine, these decisions should be based on the predicted benefit of a tre...
Neural Networks, Computer Uncertainty Bayes Theorem Humans
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Application of statistical machine learning in biomarker selection.

Scientific reports Oct 26, 2023
In the recent JAVELIN Bladder 100 phase 3 trial, avelumab plus best supportive care significantly prolonged overall survival relative to best supportive care alone as first-line maintenance therapy following first-line platinum-based chemotherapy in ...
Clinical Trials, Phase III as Topic Machine Learning Biomarkers Prognosis Humans Computer Simulation Bayes Theorem
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Artificial intelligence extracts key insights from legal documents to predict intimate partner femicide.

Scientific reports Oct 24, 2023
Legal documents serve as valuable repositories of information pertaining to crimes, encompassing not only legal aspects but also relevant details about criminal behaviors. To date and the best of our knowledge, no studies in the field examine legal d...
Artificial Intelligence Bayes Theorem Violence Homicide
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A decoupled Bayesian method for snake robot control in unstructured environment.

Bioinspiration & biomimetics Oct 24, 2023
This paper presents a method which avoids the common practice of using a complex coupled snake robot model and performing kinematic analysis for control in cluttered environments. Instead, we introduce a completely decoupled dynamical Bayesian formul...
Biomechanical Phenomena Robotics Bayes Theorem
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Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning.

BMC medical imaging Oct 19, 2023
BACKGROUND: The deterministic deep learning models have achieved state-of-the-art performance in various medical image analysis tasks, including nuclei segmentation from histopathology images. The deterministic models focus on improving the model pre...
Deep Learning Image Processing, Computer-Assisted Bayes Theorem Cell Nucleus Humans Neural Networks, Computer
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Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study.

Surgical endoscopy Oct 14, 2023
BACKGROUND: With Surgomics, we aim for personalized prediction of the patient's surgical outcome using machine-learning (ML) on multimodal intraoperative data to extract surgomic features as surgical process characteristics. As high-quality annotatio...
Machine Learning Prospective Studies Humans Bayes Theorem Esophagectomy Robotics Minimally Invasive Surgical Procedures
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