TAILIEUCHUNG - Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors

Do the cancer cells have hormone receptors? Hormone receptors are like ears on and in breast cells that listen to signals from hormones. These hormone signals tell breast cells that have the receptors to grow. A cancer is called eR-positive if it has receptors for the hormone estrogen. It’s called PR-positive if it has receptors for the hormone progesterone. Breast cells that do not have receptors are negative for these hormones. Breast cancers that are ER-positive, PR-positive, or both tend to respond to hormonal therapy. Hormonal therapy is medicine that reduces the amount of estrogen in your body or that blocks estrogen. | Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors Chun-Nam Yu Russell Greiner Hsiu-Chin Lin Department of Computing Science University of Alberta Edmonton AB T6G 2E8 chunnam rgreiner hsiuchin @ Vickie Baracos Department of Oncology University of Alberta Edmonton AB T6G 1Z2 Abstract An accurate model of patient survival time can help in the treatment and care of cancer patients. The common practice of providing survival time estimates based only on population averages for the site and stage of cancer ignores many important individual differences among patients. In this paper we propose a local regression method for learning patient-specific survival time distribution based on patient attributes such as blood tests and clinical assessments. When tested on a cohort of more than 2000 cancer patients our method gives survival time predictions that are much more accurate than popular survival analysis models such as the Cox and Aalen regression models. Our results also show that using patient-specific attributes can reduce the prediction error on survival time by as much as 20 when compared to using cancer site and stage only. 1 Introduction When diagnosed with cancer most patients ask about their prognosis how long will I live and what is the success rate of each treatment option . Many doctors provide patients with statistics on cancer survival based only on the site and stage of the tumor. Commonly used statistics include the 5-year survival rate and median survival time . a doctor can tell a specific patient with early stage lung cancer that s he has a 50 5-year survival rate. In general today s cancer survival rates and median survival times are estimated from a large group of cancer patients while these estimates do apply to the population in general they are not particularly accurate for individual patients as they do not include patient-specific information such as age and .

• Y học thường thức
• misbehaving
• Forest Management
• Ecoefficient Timber
• Owner Cooperative
• Economic Feasibility
• Agroforestry System
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Ranga variety
• Based agroforestry system
• Performance of turmeric
• Bamboo based agroforestry system
• Water productivity
• Turmeric equivalent agroforestry
• Dynamics of water productivity
• Agriculture and agroforestry land
• Agroforestry land use system in jabalpur
• Evaluation of agroforestry system
• Institutional environments
• Marketing agroforest outputs
• Economic evaluation
• AgriSilvi Horticulture
• Different agri silvi horticulture combination
• During all the month of growth
• Nutrient cycling
• Substrate quality
• Agroforestry system of Central India
• Litter fractions in agroforestry system
• Decomposition of different litter fractions
• Height growth
• Collar diameter
• Number of culms
• Organic manure
• Characteristics of soil
• Greengram plum based agroforestry system
• Green gram plum based agroforestry
• Green gram
• Farmers’ category
• Socio economic
• Socio economic assessment
• Existing agroforestry systems
• Agroforestry development
• Agroforest markets
• Cultivation system
• Terrace system
• Composite swidden system
• Traditional home garde
• Integrated nutrient management
• Agri silviculture system
• Poplar based agroforestry system
• Tree spacing on production potential
• Production potential of maize
• Monthly income
• Land holding
• Existing farming system
• Agroforestry practices
• Survey of existing farming system
• Land equivalent ratio performance
• Herbal medicinal crops
• Three tier agroforestry system
• Economic and land equivalent ratio performance
• Kalmegh recorded higher LER
• Jatropha curcas
• Intercropping on the growth
• Availability of light
• Spacing and intercropping
• Biomass production
• Vegetation carbon pool
• SM based agroforestry system
• Eucalyptus tereticornis SM
• Fertilizer doses
• Different fertilizer doses
• Turmeric varieties
• Populus deltoids
• Fertilizer dose
• Fertilizer doses on growth
• Yield in elephant footyam (Amorphophallus campanulatus)
• Poplar (Populus deltoids)
• Morgan Mercer Flodin (MMF)
• Rational etc
• Yield of field crop
• Statistical models to predict
• Teak (Tectona grandis L )
• Different levels of phosphorus
• Nutrient uptake of green gram
• Green gram (Vigna radiata L )
• Species diversity
• Mushroom cultivation
• Species diversity in coconut
• Coconut based agroforestry system
• Perennial species were associated
• Acacia nilotica
• Soil fertility
• Wheat based agroforestry system
• Varying soil depths
• Acacia nilotica on soil fertility status
• Canopy of acacia nilotica
• Aegle marmelos
• Essential oil
• Essential oil yield
• Aegle marmelos leaves
• Agroforestry system in villages
• Vigna mungo
• Crown spread
• Tree trunk
• Grewia optiva
• Traditional agroforestry system
• Pigeonpea [Cajanus cajan (L
• ) Millsp
• Neem (Azadirachta indica A
• Juss
• Rainfed condition
• Economical benefits of pigeonpea
• Baby corn
• Spacing on the growth
• Yield performance of baby corn
• Canopy management
• Organic manures
• Soil properties
• Edaphic processes etc
• Morus maize based agroforestry system