From a9152dc2ee1e70eceb3f9e9975bb8b528cf197b5 Mon Sep 17 00:00:00 2001 From: Terry Li Date: Thu, 25 Jan 2024 09:59:08 -0800 Subject: [PATCH] Update README.md --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 9166181..3dc6aa1 100644 --- a/README.md +++ b/README.md @@ -124,14 +124,14 @@ EHR_TYPES: - $t_s$ : time point marking the date of the scan. - $t_a$ : time point marking the ```DAYS AFTER``` a scan (e.g., window) - $t_h$ : time point marking the last date of record in a patient's history. -> Note that $t_a$ - $t_s$, which is the window in which we're identifying events specified for our experimental design, may be longer than $t_h$ - $t_0$, which is the time period a patient has data in the EHR for. This is crucial! +> Note that $t_a$ - $t_s$, which is the window in which we're identifying events specified for our experimental design, maybe longer than $t_h$ - $t_0$, which is the time period a patient has data in the EHR for. This is crucial! #### Output Label Interpretation - **Class 0** → Patient not diagnosed with the specified disease before or after the CT Scan within the requested time window or any time in the patient's history. - - IF a patient develops disease, then $t_d > t_a$. + - IF a patient develops a disease, then $t_d > t_a$. - **Class 1** → Patient diagnosed with specified disease during the time window between days before and days after. -- Commontly, only patients from Class 0 and 1 are included in the studies as controls/positive classes. +- Commonly, only patients from Class 0 and 1 are included in the studies as controls/positive classes. - $t_b ≤ t_d ≤ t_a$ -- **Class 2** → Patient diagnosed with specified disease earlier than the 'days before' window (e.g. patient is already "diseased" entering the cohort). +- **Class 2** → Patient diagnosed with the specified disease earlier than the 'days before' window (e.g. patient is already "diseased" entering the cohort). - $t_d < t_b$ - **Class 3** → Patient has not been monitored long enough to definitively rule-out disease. - $t_h < t_a$