Advance genome disorder prediction model empowered with deep learning
A major and essential issue in biomedical research is to predict genome disorder. Genome
disorders cause multivariate diseases like cancer, dementia, diabetes, cystic fibrosis, leigh …
disorders cause multivariate diseases like cancer, dementia, diabetes, cystic fibrosis, leigh …
[PDF][PDF] Single and mitochondrial gene inheritance disorder prediction using machine learning
One of the most difficult jobs in the post-genomic age is identifying a genetic disease from a
massive amount of genetic data. Furthermore, the complicated genetic disease has a very …
massive amount of genetic data. Furthermore, the complicated genetic disease has a very …
A comprehensive analysis of artificial intelligence techniques for the prediction and prognosis of genetic disorders using various gene disorders
A medical analysis of diagnosing rare genetic diseases has rapidly become the most
expensive and time-consuming component for doctors. By combining predictive methods …
expensive and time-consuming component for doctors. By combining predictive methods …
Hybrid CNN-LSTM and modified wild horse herd Model-based prediction of genome sequences for genetic disorders
K Nandhini, G Tamilpavai - Biomedical Signal Processing and Control, 2022 - Elsevier
Structural genomic rearrangements are a major source of genetic disorders. The main
objective of the proposed work is the detection of changes or mutations that occur in a single …
objective of the proposed work is the detection of changes or mutations that occur in a single …
[HTML][HTML] Explainable deep transfer learning model for disease risk prediction using high-dimensional genomic data
L Liu, Q Meng, C Weng, Q Lu, T Wang… - PLOS Computational …, 2022 - journals.plos.org
Building an accurate disease risk prediction model is an essential step in the modern quest
for precision medicine. While high-dimensional genomic data provides valuable data …
for precision medicine. While high-dimensional genomic data provides valuable data …
Extensive review on the role of machine learning for multifactorial genetic disorders prediction
The culture of employing machine learning driven assistance and decision making is
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …
A novel hybrid machine learning approach using deep learning for the prediction of alzheimer disease using genome data
Genome-wide association studies are aimed at identifying associations between commonly
occurring variations in a group of individuals and a phonotype, in which the …
occurring variations in a group of individuals and a phonotype, in which the …
IoMT‐Based Mitochondrial and Multifactorial Genetic Inheritance Disorder Prediction Using Machine Learning
A genetic disorder is a serious disease that affects a large number of individuals around the
world. There are various types of genetic illnesses, however, we focus on mitochondrial and …
world. There are various types of genetic illnesses, however, we focus on mitochondrial and …
Supervised machine learning empowered multifactorial genetic inheritance disorder prediction
Fatal diseases like cancer, dementia, and diabetes are very dangerous. This leads to fear of
death if these are not diagnosed at early stages. Computer science uses biomedical studies …
death if these are not diagnosed at early stages. Computer science uses biomedical studies …
[HTML][HTML] Deep learning methods for predicting disease status using genomic data
Predicting disease status for a complex human disease using genomic data is an important,
yet challenging, step in personalized medicine. Among many challenges, the so-called …
yet challenging, step in personalized medicine. Among many challenges, the so-called …