AIMC Topic:
Bayes Theorem

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Improved pig behavior analysis by optimizing window sizes for individual behaviors on acceleration and angular velocity data.

Journal of animal science Nov 1, 2022
This paper presents the application of machine learning algorithms to identify pigs' behaviors from data collected using the wireless sensor nodes mounted on pigs. The sensor node attached to a pig's back senses the acceleration and angular velocity ...
Algorithms Animals Machine Learning Bayes Theorem Acceleration Swine Support Vector Machine
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Lessons in machine learning model deployment learned from sepsis.

Med (New York, N.Y.) Sep 9, 2022
In three recent and related publications, researchers from Johns Hopkins University and Bayesian Health report results from implementing and prospectively evaluating the Targeted Real-time Early Warning System (TREWS) for sepsis at five hospitals..
Bayes Theorem Humans Machine Learning Sepsis Universities
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On the Use of Bayesian Artificial Intelligence for Hypothesis Generation in Psychiatry.

Psychiatria Danubina Sep 1, 2022
In this study, I introduce the use of Bayesian Artificial Intelligence, namely through the probabilistic and structure learning of Bayesian Network models, for hypothesis generation in psychiatry. Bayesian Networks are directed acyclic graphical mode...
Humans Artificial Intelligence Bayes Theorem Knowledge Psychiatry
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Bayesian network analysis of long-term oncologic outcomes of open, laparoscopic, and robot-assisted radical cystectomy for bladder cancer.

Medicine Aug 26, 2022
BACKGROUND: To understand the long-term oncologic outcomes of open radical cystectomy (ORC) versus laparoscopic radical cystectomy (LRC) versus robot-assisted radical cystectomy (RARC) for bladder cancer (BCa). Therefore, we performed the conventiona...
Bayes Theorem Laparoscopy Robotics Robotic Surgical Procedures Cystectomy Humans Postoperative Complications Treatment Outcome Urinary Bladder Neoplasms
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BayeshERG: a robust, reliable and interpretable deep learning model for predicting hERG channel blockers.

Briefings in bioinformatics Jul 18, 2022
Unintended inhibition of the human ether-à-go-go-related gene (hERG) ion channel by small molecules leads to severe cardiotoxicity. Thus, hERG channel blockage is a significant concern in the development of new drugs. Several computational models hav...
Ether-A-Go-Go Potassium Channels Potassium Channel Blockers Bayes Theorem Humans Reproducibility of Results Deep Learning
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Normal and Abnormal Classification of Electrocardiogram: A Primary Screening Tool Kit.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Cardiovascular diseases (CVDs) are one of the principal causes of death. Cardiac arrhythmia, a critical CVD, can be easily detected from an electrocardiogram (ECG) recording. Automated ECG analysis can help clinicians to identify arrhythmia and preve...
Electrocardiography Mass Screening Support Vector Machine Bayes Theorem Humans Arrhythmias, Cardiac Algorithms
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Quantifying the influence of stimulation protocols on neural network connectivity inference to optimize rapid network measurements.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Connectivity is key to understanding neural circuit computations. However, estimating in vivo connectivity using recording of activity alone is challenging. Issues include common input and bias errors in inference, and limited temporal resolution due...
Linear Models Bayes Theorem Neural Networks, Computer Neurons
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Early Diabetes Prediction: A Comparative Study Using Machine Learning Techniques.

Studies in health technology and informatics Jun 29, 2022
Most screening tests for Diabetes Mellitus (DM) in use today were developed using electronically collected data from Electronic Health Record (EHR). However, developing and under-developing countries are still struggling to build EHR in their hospita...
Bayes Theorem Humans Machine Learning Diabetes Mellitus Algorithms Support Vector Machine Logistic Models
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Pelvic Injury Discriminative Model Based on Data Mining Algorithm.

Fa yi xue za zhi Jun 25, 2022
OBJECTIVES: To reduce the dimension of characteristic information extracted from pelvic CT images by using principal component analysis (PCA) and partial least squares (PLS) methods. To establish a support vector machine (SVM) classification and iden...
Data Mining Algorithms Bayes Theorem Support Vector Machine Least-Squares Analysis
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PercolationDF: A percolation-based medical diagnosis framework.

Mathematical biosciences and engineering : MBE Apr 6, 2022
With the continuing shortage and unequal distribution of medical resources, our objective is to develop a general diagnosis framework that utilizes a smaller amount of electronic medical records (EMRs) to alleviate the problem that the data volume r...
Electronic Health Records Neural Networks, Computer Bayes Theorem
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