Clustering Mutual Outline for Multi Assessment Temporal Data and cancer Data

2018 ◽  
Vol 6 (1) ◽  
pp. 71-79
Author(s):  
Sathishkumar. K ◽  
◽  
V. Thiagarasu ◽  
E. Balamurugan ◽  
David Otto Arthur ◽  
...  
Keyword(s):  
Temporal Data ◽  
Cancer Data

464: Is Obesity Associated with more Aggressive Prostate Cancer? (Data from Capsure)

2004 ◽  
Vol 171 (4S) ◽  
pp. 124-124 ◽  
Author(s):  
Christopher J. Kane ◽  
William W. Bassett ◽  
Natalia Sadetsky ◽  
Stephanie J. Silva ◽  
David J. Pasta ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Aggressive Prostate Cancer ◽  
Cancer Data

HER2 Expression in Gastric Cancer and Gastroesophageal Junction Cancer

2020 ◽  
Vol 22 (2) ◽  
pp. 79-82
Author(s):  
Md Azizur Rahman ◽  
Abdullah Md Abu Ayub Ansari ◽  
Kazi Mazharul Islam ◽  
Md Aminur Rahman ◽  
ABM Abdul Matin ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Gastric Carcinoma ◽  
Social Impact ◽  
Gastroesophageal Junction ◽  
Treatment Protocol ◽  
Armed Forces ◽  
Her2 Expression ◽  
Her2 Positive ◽  
Cancer Data ◽  
Her2 Positivity

Background: Carcinoma of the stomach is a major cause of cancer mortality worldwide. Due to social impact of gastric carcinoma (GC), there is a need to stratify patients into appropriate screening, surveillance and treatment programs. Although histopathology remains the most reliable and less expensive method, numerous efforts have been made to identify and validate novel biomarkers to accomplish the goals. In recent years, several molecules have been identified and tested for their clinical relevace in GC management. Among the biomarkers with the exception of HER2, none of the biomarkers is currently used in clinical practice, and some of them were described in single studies. Materials and Methods: This prospective type of observational study was performed in the Department of Surgery, Dhaka Medical College Hospital, Dhaka, 6 months from approval of protocol. Total 45 consecutive patients aged 18 years and above without consideration of gender were selected purposefully. Every patient was evaluated by clinical examination, appropriate investigations and after a confirm diagnosis of the tissue from the cancer. All patients have undergone operative intervention and Gastrectomy specimens were subtotal (including cardiac and pylorus), subtotal (including the pylorus), total radical gastrectomy and oesophago-gastrectomy sample. All specimens obtained were immersed in 10% formalin. Samples of whom were sent to the department of pathology, DMCH for histopathology examination. Portion of representative tissue/block was sent to AFIP (Armed Forces Institute of Pathology, Dhaka) for immunohistochemistry to find out the HER2 expression in gastric cancer and gastro-oesophageal cancer. Data was collected in a pre-designed questionnaire by face to face interview. Result and observation: In this study when 45 cases were categorized according to WHO grading system it was observed that majority (30) patients were found in grade II, among them 3(10%) were HER2 positive. But with grade III tumour the HER2 positivity were found more i,e; 37.5% (3/8). Grade- I tumor show HER2 neu expression 28.57% (2/7) and according to location most of the cases with HER2 positive expression was located in the gastro-esophageal junction which is 27.27% (3/11) than gastric carcinoma which is 14.70% (5/34). Conclusion: Most of the patients of gastric and gastrooesophageal junction adenocarcinoma are diagnosed at a very late stage, so they require special attention in treatment protocol, including chemotherapy and immunotherapy for increasing their survivability. The study showed with poorly differentiated (high grade) tumour, the HER2 positivity were found more. Journal of Surgical Sciences (2018) Vol. 22 (2) : 79-82

Bayesian Frailty Model for Time to Event Breast Cancer Data

2011 ◽  
Vol 4 (2) ◽  
pp. 8-12
Author(s):  
Leo Alexander T Leo Alexander T ◽  
◽  
Pari Dayal L Pari Dayal L ◽  
Valarmathi S Valarmathi S ◽  
Ponnuraja C Ponnuraja C ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Frailty Model ◽  
Breast Cancer Data ◽  
Time To Event ◽  
Cancer Data

Perbandingan CART dan Random Forest untuk Deteksi Kanker berbasis Klasifikasi Data Microarray

2020 ◽  
Vol 4 (5) ◽  
pp. 805-812
Author(s):  
Riska Chairunisa ◽  
Adiwijaya ◽  
Widi Astuti
Keyword(s):  
Breast Cancer ◽  
Lung Cancer ◽  
Ovarian Cancer ◽  
Random Forest ◽  
Classification And Regression Tree ◽  
Classification Method ◽  
Discrete Wavelet ◽  
Prostate Tumors ◽  
Cancer Data ◽  
Colon Tumors

Cancer is one of the deadliest diseases in the world with a mortality rate of 57,3% in 2018 in Asia. Therefore, early diagnosis is needed to avoid an increase in mortality caused by cancer. As machine learning develops, cancer gene data can be processed using microarrays for early detection of cancer outbreaks. But the problem that microarray has is the number of attributes that are so numerous that it is necessary to do dimensional reduction. To overcome these problems, this study used dimensions reduction Discrete Wavelet Transform (DWT) with Classification and Regression Tree (CART) and Random Forest (RF) as classification method. The purpose of using these two classification methods is to find out which classification method produces the best performance when combined with the DWT dimension reduction. This research use five microarray data, namely Colon Tumors, Breast Cancer, Lung Cancer, Prostate Tumors and Ovarian Cancer from Kent-Ridge Biomedical Dataset. The best accuracy obtained in this study for breast cancer data were 76,92% with CART-DWT, Colon Tumors 90,1% with RF-DWT, lung cancer 100% with RF-DWT, prostate tumors 95,49% with RF-DWT, and ovarian cancer 100% with RF-DWT. From these results it can be concluded that RF-DWT is better than CART-DWT.  

Giscience in the Mountain Geography

2010 ◽  
Vol 27 (1-2) ◽  
pp. 81-90
Author(s):  
Krishna Poudel
Keyword(s):  
Spatial Data ◽  
Environmental Data ◽  
Temporal Data ◽  
Observation Systems ◽  
Research Findings ◽  
Temporal And Spatial ◽  
Temporal And Spatial Characteristics ◽  
Mountain Geography ◽  
Different Sources

Mountains have distinct geography and are dynamic in nature compared to the plains. 'Verticality' and 'variation' are two fundamental specificities of the mountain geography. They possess distinct temporal and spatial characteristics in a unique socio-cultural setting. There is an ever increasing need for spatial and temporal data for planning and management activities; and Geo Information (GI) Science (including Geographic Information and Earth Observation Systems). This is being recognized more and more as a common platform for integrating spatial data with social, economic and environmental data and information from different sources. This paper investigates the applicability and challenges of GISscience in the context of mountain geography with ample evidences and observations from the mountain specific publications, empirical research findings and reports. The contextual explanation of mountain geography, mountain specific problems, scientific concerns about the mountain geography, advances in GIScience, the role of GIScience for sustainable development, challenges on application of GIScience in the contexts of mountains are the points of discussion. Finally, conclusion has been made with some specific action oriented recommendations.

Cancer treatment decisions for people living with dementia: experiences of family carers

2020 ◽  
Vol 70 (suppl 1) ◽  
pp. bjgp20X711545
Author(s):  
Catherine Hynes ◽  
Caroline Mitchell ◽  
Lynda Wyld
Keyword(s):  
Cancer Treatment ◽  
Healthcare Professionals ◽  
Cancer Recurrence ◽  
Treatment Decisions ◽  
Support Needs ◽  
Family Carers ◽  
Structured Interviews ◽  
Power Of Attorney ◽  
Cancer Data ◽  
People With Dementia

BackgroundDementia and cancer are both diseases associated with older age. The National Cancer Data Audit in England found that 4.4% of people diagnosed with cancer also had cognitive impairment. Decisions about cancer treatment can be very complex when someone already has dementia. Often someone’s closest relative may be asked to make decisions on their behalf. Little is known about the psychosocial impact that this has on carers, or what their support needs are during this time.AimTo explore the experiences of family carers who have been involved in making cancer treatment decisions on behalf of a relative with dementia, in particular identifying challenges and support needs.MethodThe authors are conducting semi-structured interviews with carers of people with dementia who have been involved in making decisions about cancer treatment on their behalf. Data is being thematically analysed using an inductive approach. Two researchers will independently verify themes.ResultsThe authors expect to have completed 14–18 interviews and will report their preliminary findings. Family carers experience many difficulties in the context of cancer and dementia, including lack of support when coping with the aftereffects of cancer treatment, lack of awareness among healthcare professionals regarding the authority granted by a lasting power of attorney and the anxiety created by feeling responsible for identifying cancer recurrence.ConclusionThis study will highlight that supporting someone with dementia through cancer treatment, and having to make decisions about it on their behalf, creates unique challenges for carers. Currently there is a significant lack of support for those facing this distressing experience.

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