AIMC Topic: Probability
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A multimodal deep learning-based drug repurposing approach for treatment of COVID-19.
Molecular diversity
Sep 30, 2020
Recently, various computational methods have been proposed to find new therapeutic applications of the existing drugs. The Multimodal Restricted Boltzmann Machine approach (MM-RBM), which has the capability to connect the information about the multip...
Comparison of Scaling Methods to Obtain Calibrated Probabilities of Activity for Protein-Ligand Predictions.
Journal of chemical information and modeling
Sep 21, 2020
In the context of bioactivity prediction, the question of how to calibrate a score produced by a machine learning method into a probability of binding to a protein target is not yet satisfactorily addressed. In this study, we compared the performance...
Fuzzy logic programming and adaptable design of medical products for the COVID-19 anti-epidemic normalization.
Computer methods and programs in biomedicine
Sep 16, 2020
BACKGROUND: The COVID-19 prevention and control constantly affects lives worldwide. In this paper, household medical products were analyzed using fuzzy logic. Considering the household anti-epidemic status, economic and environmental benefits, the ad...
Receiver operating characteristic curves and confidence bands for support vector machines.
Biometrics
Sep 12, 2020
Many problems that appear in biomedical decision-making, such as diagnosing disease and predicting response to treatment, can be expressed as binary classification problems. The support vector machine (SVM) is a popular classification technique that ...
Predicting the frequencies of drug side effects.
Nature communications
Sep 11, 2020
A central issue in drug risk-benefit assessment is identifying frequencies of side effects in humans. Currently, frequencies are experimentally determined in randomised controlled clinical trials. We present a machine learning framework for computati...
Personalized prediction of daily eczema severity scores using a mechanistic machine learning model.
Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology
Sep 9, 2020
BACKGROUND: Atopic dermatitis (AD) is a chronic inflammatory skin disease with periods of flares and remission. Designing personalized treatment strategies for AD is challenging, given the apparent unpredictability and large variation in AD symptoms ...
Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: A gain-scheduled approach.
Neural networks : the official journal of the International Neural Network Society
Sep 4, 2020
This study is concerned with the state estimation issue for a kind of delayed artificial neural networks with multiplicative noises. The occurrence of the time delay is in a random way that is modeled by a Bernoulli distributed stochastic variable wh...
The Probability of Ischaemic Stroke Prediction with a Multi-Neural-Network Model.
Sensors (Basel, Switzerland)
Sep 3, 2020
As is known, cerebral stroke has become one of the main diseases endangering people's health; ischaemic strokes accounts for approximately 85% of cerebral strokes. According to research, early prediction and prevention can effectively reduce the inci...
Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning.
Artificial intelligence in medicine
Aug 9, 2020
Frozen sections provide a basis for rapid intraoperative diagnosis that can guide surgery, but the diagnoses often challenge pathologists. Here we propose a rule-based system to differentiate thyroid nodules from intraoperative frozen sections using ...
Dr. Answer AI for prostate cancer: Clinical outcome prediction model and service.
PloS one
Aug 5, 2020
OBJECTIVES: The importance of clinical outcome prediction models using artificial intelligence (AI) is being emphasized owing to the increasing necessity of developing a clinical decision support system (CDSS) employing AI. Therefore, in this study, ...
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