AIMC Topic:
Bayes Theorem

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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...
Humans Machine Learning Algorithms Logistic Models Diabetes Mellitus Support Vector Machine Bayes Theorem
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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...
Least-Squares Analysis Data Mining Algorithms Support Vector Machine Bayes Theorem
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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...
Bayes Theorem Neural Networks, Computer Electronic Health Records
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Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction.

BMJ health & care informatics Apr 1, 2022
OBJECTIVES: The Indian Liver Patient Dataset (ILPD) is used extensively to create algorithms that predict liver disease. Given the existing research describing demographic inequities in liver disease diagnosis and management, these algorithms require...
Male Bias Delivery of Health Care Female Liver Diseases Bayes Theorem Supervised Machine Learning Humans Artificial Intelligence Algorithms
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Resampling to address inequities in predictive modeling of suicide deaths.

BMJ health & care informatics Apr 1, 2022
OBJECTIVE: Improve methodology for equitable suicide death prediction when using sensitive predictors, such as race/ethnicity, for machine learning and statistical methods.
Humans Bayes Theorem Suicide Area Under Curve Machine Learning Delivery of Health Care
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Zero Sales Resistance: The Dark Side of Big Data and Artificial Intelligence.

Cyberpsychology, behavior and social networking Mar 1, 2022
Big data (BD) is the hue and cry of modern science and society. The impact of such data deluge is huge and far reaching for both science and society. Moreover, given the effort required for collecting and analyzing these data, artificial intelligence...
Bayes Theorem Artificial Intelligence Big Data Humans
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Editorial Commentary: Big Data and Machine Learning in Medicine.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Mar 1, 2022
Recent research using machine learning and data mining to determine predictors of prolonged opioid use after arthroscopic surgery showed that Artificial Neural Networks showed superior discrimination and calibration. Other machine learning algorithms...
Big Data Bayes Theorem Humans Neural Networks, Computer Artificial Intelligence Machine Learning
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An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel: Development and usability study.

Medicine Jan 28, 2022
BACKGROUND: Breast cancer (BC) is the most common malignant cancer in women. A predictive model is required to predict the 5-year survival in patients with BC (5YSPBC) and improve the treatment quality by increasing their survival rate. However, no r...
Female Aged Aged, 80 and over Breast Neoplasms Adult Artificial Intelligence Prognosis Bayes Theorem Survival Rate Middle Aged Humans Sensitivity and Specificity Neural Networks, Computer ROC Curve Mobile Applications
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Electrophysiological Signatures of Hierarchical Learning.

Cerebral cortex (New York, N.Y. : 1991) Jan 22, 2022
Human perception and learning is thought to rely on a hierarchical generative model that is continuously updated via precision-weighted prediction errors (pwPEs). However, the neural basis of such cognitive process and how it unfolds during decision-...
Brain Deep Learning Bayes Theorem Electroencephalography Humans Reversal Learning
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A general optimization protocol for molecular property prediction using a deep learning network.

Briefings in bioinformatics Jan 17, 2022
The key to generating the best deep learning model for predicting molecular property is to test and apply various optimization methods. While individual optimization methods from different past works outside the pharmaceutical domain each succeeded i...
Solubility Deep Learning Bayes Theorem Neural Networks, Computer
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