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Shyamala, N.
- A Survey on Microarray Gene Expression Cancer Diagnosis
Authors
1 Department of Computer Science, NGM College, Pollachi, IN
Source
Biometrics and Bioinformatics, Vol 6, No 7 (2014), Pagination: 192-195Abstract
A cancer diagnosis by using the DNA microarray data faces many challenges the most serious one being the presence of thousands of genes and only several dozens of patient's samples. The classification of different tumor types is of great importance in cancer diagnosis and drug discovery. Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery)or for assigning tumors to known classes (class prediction). The recent advent of DNA microarray technique has made simultaneous monitoring of thousands of gene expressions possible. The results demonstrate the feasibility of cancer classification based solely on gene expression monitoring and suggest a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge.
Keywords
Cancer Diagnosis, Microarray Gene Expression, ANOVA, Modified Extreme Learning Machine.
- Microarray Gene Expression Cancer Diagnosis Using Modified Extreme Learning Machine Classification
Authors
1 Department of Computer Science, NGM College, Pollachi, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 6, No 8 (2014), Pagination: 293-296Abstract
Cancer classification is one of the major research areas in the medical fields. The primary objective is to propose efficient cancer classification techniques which provide reliable and significant classification accuracy. To achieve this primary research goal is to find the smallest set of genes that can ensure better performance in classification using machine learning algorithms. Gene expression of microarray data requires the selection of subsets of relevant genes in order to achieve good classification. Modified Extreme Learning Machine (MELM) is used for direct multicategory classification problems in the cancer diagnosis area. Modified ELM avoids problems like local minima, improper learning rate and overfitting commonly faced by iterative learning methods and completes the training very fast. Experimental result shows that the Modified Extreme Learning Machine (MELM) classifier is used for increasing the classification accuracy over ELM by using three benchmarks microarray datasets for cancer diagnosis namely, Leukemia, Lymphoma and SRBCT.
Keywords
Microarray Gene Expression, Extreme Learning Machine, Cancer Diagnosis, Modified ELM.- Acute Arsenic Suicidal Poisoning – A Rare Case
Authors
1 Critical Care Medicine, Manipal Hospital Whitefield, Bangalore - 560066, Karnataka, IN
2 Critical Care Medicine, Sakra World Hospital, Bangalore - 560101, Karnataka, IN
3 Department of Anesthesiology, NIMHANS, Bangalore - 560029, Karnataka, IN
Source
International Journal of Medical and Dental Sciences, Vol 10, No 1 (2021), Pagination: 1961-1965Abstract
Arsenic is a naturally occurring element in the earth's crust. Chronic arsenic poisoning has been regularly reported predominantly due to occupational exposure in the literature. Acute arsenic poisoning is very rare. A 27-year-old gentleman was brought to the hospital with a history of suicide attempt by consumption of arsenic trioxide diluted in water. He initially manifested with gastrointestinal manifestations along with tachycardia. The patient was treated with fluid resuscitation, antidote-Dimercaprol, dialysis, and other supportive treatment. The patient continued to deteriorate with deranged liver and renal function, coagulopathy, and neurological symptoms. The presence of coagulopathy further complicated the scenario, as the antidote which is administered as an intramuscular injection could not be given. The patient continued to deteriorate and eventually succumbed. Acute arsenic poisoning is very rare, and very few reports of suicide are reported. It initially presents with acute gastroenteritis symptoms followed by multi organ involvement. Fatal doses will invariably result in death irrespective of treatment modality. Rapid administration of antidote and supportive treatment might increase the chances of survival. Difficulty in the availability of oral antidote and unavailability of any Intravenous preparations further complicates the scenario.Keywords
Arsenic, Gastroenteritis, Liver Failure, Poisoning, SuicidalFull Text
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