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 …
[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 …
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 …
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 …
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 …
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 …
[PDF][PDF] Advancement in the diagnosis of mitochondrial diseases
SA Sulaiman, ZM Rani, FZM Radin… - J. Transl. Genet …, 2020 - pdfs.semanticscholar.org
Mitochondrial diseases are multi-systemic, heterogeneous groups of diseases that are
associated with various neuromuscular problems, cardiovascular disorders, metabolic …
associated with various neuromuscular problems, cardiovascular disorders, metabolic …
IoT-based disease prediction using machine learning
SA Siddiqui, A Ahmad, N Fatima - Computers and Electrical Engineering, 2023 - Elsevier
COVID-19 disrupted lives and livelihoods and affected various sectors of the economy. One
such domain was the already overburdened healthcare sector, which faced fresh challenges …
such domain was the already overburdened healthcare sector, which faced fresh challenges …
MmisAT and MmisP: an efficient and accurate suite of variant analysis toolkit for primary mitochondrial diseases
S Huang, Z Wu, T Wang, R Yu, Z Song, H Wang - Human Genomics, 2023 - Springer
Recent advances in next-generation sequencing (NGS) technology have greatly
accelerated the need for efficient annotation to accurately interpret clinically relevant genetic …
accelerated the need for efficient annotation to accurately interpret clinically relevant genetic …
Mapping gene associations in human mitochondria using clinical disease phenotypes
Nuclear genes encode most mitochondrial proteins, and their mutations cause diverse and
debilitating clinical disorders. To date, 1,200 of these mitochondrial genes have been …
debilitating clinical disorders. To date, 1,200 of these mitochondrial genes have been …