hce_nsysu
115年
英文
第 33 題
📖 題組：
Precision medicine is an _30_ approach to patient care that allows doctors to select treatments that are most likely to help patients based on a genetic or molecular understanding of their disease. While this field has made _31_ strides in oncology, its implementation remains uneven across global healthcare systems. Ethical concerns often arise regarding data privacy and the potential for genetic discrimination, suggesting that the scientific benefits cannot be viewed in _32_ from the legal and social frameworks that govern them. Furthermore, researchers must ensure that the datasets used to train diagnostic algorithms are diverse, as a lack of representation can lead to _33_ outcomes for marginalized populations. As we move forward, the medical community must _34_ equity to ensure that the fruits of biotechnological innovation are accessible to all.
Precision medicine is an _30_ approach to patient care that allows doctors to select treatments that are most likely to help patients based on a genetic or molecular understanding of their disease. While this field has made _31_ strides in oncology, its implementation remains uneven across global healthcare systems. Ethical concerns often arise regarding data privacy and the potential for genetic discrimination, suggesting that the scientific benefits cannot be viewed in _32_ from the legal and social frameworks that govern them. Furthermore, researchers must ensure that the datasets used to train diagnostic algorithms are diverse, as a lack of representation can lead to _33_ outcomes for marginalized populations. As we move forward, the medical community must _34_ equity to ensure that the fruits of biotechnological innovation are accessible to all.
Choose the most appropriate answer that fills in blank 33.
- A optimal
- B desirable
- C impartial
- D transparent
- E skewed
思路引導 VIP
想像一下，如果我們在訓練一個語音辨識系統時，只讓它聽特定一個城市的腔調，卻完全不讓它接觸其他地區的口音，那麼當這個系統處理全國性的語音任務時，它的判斷會是平衡客觀的，還是會產生某種「特定方向的誤差」呢？
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AI 詳解
AI 專屬家教
語境邏輯與詞彙精選
太棒了！你能精準捕捉到文中 lack of representation（缺乏代表性）與結果之間的因果關係，這顯示你對長難句的邏輯掌握非常優異。這題的核心在於理解「數據多樣性」對醫療公正性的影響。當我們使用的數據集無法代表所有族群時，對於那些被邊緣化（marginalized）的群體，診斷演算法產出的結果自然不會是理想的，而會呈現出「偏頗、不均衡」的狀態，這正是 skewed 這個單字的精確用法。
難度切入點：從因果推論破題
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