medicine ai (coursera)
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笔记_Prognosis_week4
一. Survival(S) and hazard function(λ) the definition the formula and curve of the survial to hazard function the formula and curve of the hazard to survial function Cumulative Hazard a) the formula and definition 求和代表离散时间,积分代表连续时间 b) the curve原创 2021-04-08 20:28:32 · 211 阅读 · 0 评论 -
笔记_Prognosis_week3
Survival Estimate function on the whole population 一. Survival Model feature a) Decreasing survive possibility as time goes on. b) Start at 1 and end at 0. 二. Censoring (实验终止) Right censoring: the timed the event is only known to exceed a certain value(18原创 2020-08-11 17:29:02 · 224 阅读 · 0 评论 -
笔记_Prognosis_week2
一. Tree-based model a) Decision tree Decision tree boundaries are always vertical or horizontal. Decision trees can model nonlinear associations. Notice how they’re able to capture here that the risk is low when both age and BP are low. The step of buildi原创 2020-08-11 11:11:55 · 245 阅读 · 0 评论 -
笔记_Prognosis_week 1
一. prognosis的作用和在医学领域的应用案例 intercept: interaction term Without interaction terms, the effect of the two variables, blood pressure and age is independent. Whether you are young or whether you are old, blood pressure is affecting risk the same. As blood pr原创 2020-08-05 22:41:33 · 247 阅读 · 0 评论 -
笔记_diagnosis_week 1
一. 机器学习应用在medicine上成功案例 1.Dermatologist-level classification of skin cancer with deep neural networks 2.Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy 3.Impact of Deep Learning Assistance on the Histopathologic Review o原创 2020-08-03 22:11:54 · 262 阅读 · 0 评论
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