Applications of artificial neural networks in health care organizational decision-making: A scoping review
Health care organizations are leveraging machine-learning techniques, such as artificial
neural networks (ANN), to improve delivery of care at a reduced cost. Applications of ANN to …
neural networks (ANN), to improve delivery of care at a reduced cost. Applications of ANN to …
Predictive time‐series modeling using artificial neural networks for Linac beam symmetry: an empirical study
Over half of cancer patients receive radiotherapy (RT) as partial or full cancer treatment.
Daily quality assurance (QA) of RT in cancer treatment closely monitors the performance of …
Daily quality assurance (QA) of RT in cancer treatment closely monitors the performance of …
Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting
The proliferation of classification-capable artificial intelligence (AI) across a wide range of
domains (eg, agriculture, construction, etc.) has been allowed to optimize and complement …
domains (eg, agriculture, construction, etc.) has been allowed to optimize and complement …
Synergic deep learning based preoperative metric prediction and patient oriented payment model for total hip arthroplasty
In recent days, total hip arthroplasty (THP) become a very victorious process which relieve
the pain and enhances its functioning. The main motive of the paper is to design and assess …
the pain and enhances its functioning. The main motive of the paper is to design and assess …
Room-temperature and temperature-dependent QSRR modelling for predicting the nitrate radical reaction rate constants of organic chemicals using ensemble …
Experimental determinations of the rate constants of the reaction of NO3 with a large number
of organic chemicals are tedious, and time and resource intensive; and the development of …
of organic chemicals are tedious, and time and resource intensive; and the development of …
The development of methodology and techniques for crop disease identification
NS Tiwari, JW Richmond - bioRxiv, 2019 - biorxiv.org
Abstract In India, an estimated 15-25% of potential crop production is lost due pest and
diseases. The country needs not only to raise production but also ensure food security for its …
diseases. The country needs not only to raise production but also ensure food security for its …
[引用][C] How to describe the trend, accuracy and uncertainty of predictions in Artificial Neural Networks?
CPDAC FILHO, SDC COSTA, VF ROFATTO…