Senna build的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列線上看、影評和彩蛋懶人包

McLaren MP4/4: 1988 (All Models): Owners’ Workshop Manual

為了解決Senna build的問題，作者Rendle, Steve 這樣論述：

The McLaren MP4/4 is the iconic Honda V6 turbo-powered F1 car built by McLaren for the 1988 grand prix season, driven by Ayrton Senna and Alain Prost. Remarkably, the car won all but one race during 1988, and took McLaren's then-new recruit Senna to his first Drivers' World Championship after a seas

on-long battle with team-mate Prost. McLaren achieved an astonishing 10 one-two finishes with the car, and suffered only two car-related retirements during the season. The MP4/4 is still statistically the most dominant F1 car ever built. Ironically, the fact that McLaren was already an enormously su

ccessful and well-resourced team prior to 1988 has led to the assumption that producing another winning car in the form of the MP4/4 was simply business as usual. The truth is rather different, with many challenges along the way, mistakes to resolve and, as ever in motor racing, an element of luck,

all playing a part in the MP4/4's extraordinary success. A wealth of previously unpublished archive material, including original technical drawings and team documentation, provides fascinating new insight into the design and build of the MP4/4. Produced with the full cooperation of McLaren, and uniq

ue access to a race-winning MP4/4 chassis, this manual tells for the first time the accurate story of the design, engineering and operation of one of F1's most iconic cars, featuring extensive and often candid input from the designers, engineers and drivers involved.The McLaren story: Brief history

of McLaren prior to the MP4/4 and subsequent history to the present day.Design and build of the MP4/4: The full story of how a completely new car, along with a one-off Honda engine, were designed and built for the 1988 season.The MP4/4 in action: A race-by-race account of the MP4/4's performance i

n the 1988 World Championship.The anatomy of the MP4/4: Chassis, aerodynamics, suspension, steering, brakes, Honda engine, transmission, wheels and tyres, cockpit and electrics.The drivers: Insight from Alain Prost and test-driver Emanuele Pirro, plus a profile of Ayrton Senna with thoughts from hi

s former teammates.Appendices: Specifications, race results and statistics and full chassis histories. Steve Rendle is an experienced author and editor, who has written over 15 books about cars. He has a passion for F1, and if he could have any car in the world it would be a McLaren Senna.

Senna build進入發燒排行的影片

運用電子病歷與資料探勘技術建構腦中風病人心房顫動預測模型

為了解決Senna build的問題，作者詹昕瑜 這樣論述：

突發性的腦血管疾病，也稱作中風，是造成全世界人類死亡的第二大原因，也是導致失能的第三大原因。心房顫動為缺血性中風的潛在因素，並且與缺血性中風有著極大的關聯，但心房顫動不易檢測，時常有陣發性發作卻被誤判成無症狀，以致無法被妥善治療的情形發生。當一個缺血性中風病人若偵測到有心房顫動，其中風次級預防之策略通常就會隨之改變，因為在這樣的狀況下，口服抗凝血劑的效果基本上會優於口服抗血小板藥物的治療，口服抗凝血劑可將中風病人復發的風險降低三分之二。本研究主要目的為使用非結構化的文字資料，藉由機器學習的演算法，於已發生缺血性中風之病人，建立中風後心房顫動的早期預測模型，並實際以電子病歷中的資料進行驗證。次

要目的則為比較結構化資料與非結構化資料所建立之預測模型的預測效能有無不同，希望本研究所建立之模型可以輔助醫生的醫療決策，更能妥善運用醫療資源。在預測心房顫動之實驗中，實驗1可發現邏輯迴歸技術在不同特徵之資料中皆有最好的指標效果，其中又以合併特徵搭配邏輯迴歸分類器最佳(AUC=0.8324)；在實驗2中以兩家醫院之資料互相建立模型並交互驗證，從結果得知使用不同醫院之非結構化資料建立心房顫動預測模型，評估指標的效果並不如預期。因此本研究證明結構特徵加上文字特徵，比起只單純使用結構特徵，可助於提升模型之性能。