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Author response for "Combining machine‐learning algorithms for prediction of antidepressant treatment response"
Mapping Intimacies
◽
10.1111/acps.13250/v2/response1
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2020
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Author(s):
A Kautzky
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HJ Möller
◽
M Dold
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L Bartova
◽
F Seemüller
◽
...
Keyword(s):
Machine Learning
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Treatment Response
◽
Antidepressant Treatment
◽
Learning Algorithms
◽
Machine Learning Algorithms
◽
Author Response
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Decision letter for "Combining machine‐learning algorithms for prediction of antidepressant treatment response"
10.1111/acps.13250/v2/decision1
◽
2020
◽
Keyword(s):
Machine Learning
◽
Treatment Response
◽
Antidepressant Treatment
◽
Learning Algorithms
◽
Machine Learning Algorithms
Start Chat
Download Full-text
Review for "Combining machine‐learning algorithms for prediction of antidepressant treatment response"
10.1111/acps.13250/v1/review2
◽
2020
◽
Keyword(s):
Machine Learning
◽
Treatment Response
◽
Antidepressant Treatment
◽
Learning Algorithms
◽
Machine Learning Algorithms
Start Chat
Download Full-text
Decision letter for "Combining machine‐learning algorithms for prediction of antidepressant treatment response"
10.1111/acps.13250/v1/decision1
◽
2020
◽
Keyword(s):
Machine Learning
◽
Treatment Response
◽
Antidepressant Treatment
◽
Learning Algorithms
◽
Machine Learning Algorithms
Start Chat
Download Full-text
Combining machine learning algorithms for prediction of antidepressant treatment response
Acta Psychiatrica Scandinavica
◽
10.1111/acps.13250
◽
2020
◽
Author(s):
Alexander Kautzky
◽
Hans‐Juergen Möller
◽
Markus Dold
◽
Lucie Bartova
◽
Florian Seemüller
◽
...
Keyword(s):
Machine Learning
◽
Treatment Response
◽
Antidepressant Treatment
◽
Learning Algorithms
◽
Machine Learning Algorithms
Start Chat
Download Full-text
Review for "Combining machine‐learning algorithms for prediction of antidepressant treatment response"
10.1111/acps.13250/v1/review1
◽
2020
◽
Keyword(s):
Machine Learning
◽
Treatment Response
◽
Antidepressant Treatment
◽
Learning Algorithms
◽
Machine Learning Algorithms
Start Chat
Download Full-text
FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms
Cancer Medicine
◽
10.1002/cam4.2786
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2020
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Vol 9
(4)
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pp. 1419-1429
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Cited By ~ 3
Author(s):
Wei Lu
◽
Dongliang Fu
◽
Xiangxing Kong
◽
Zhiheng Huang
◽
Maxwell Hwang
◽
...
Keyword(s):
Colorectal Cancer
◽
Machine Learning
◽
Treatment Response
◽
Cancer Patients
◽
Learning Algorithms
◽
Response Prediction
◽
Machine Learning Algorithms
◽
Recurrent Colorectal Cancer
◽
Colorectal Cancer Patients
◽
Treatment Response Prediction
Start Chat
Download Full-text
Treatment Response Prediction using MRI‐based Pre‐, Post‐ and Delta‐Radiomic Features and Machine Learning Algorithms in Colorectal Cancer
Medical Physics
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10.1002/mp.14896
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2021
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Author(s):
Sajad P. Shayesteh
◽
Mostafa Nazari
◽
Ali Salahshour
◽
Saleh Sandoughdaran
◽
Ghasem Hajianfar
◽
...
Keyword(s):
Colorectal Cancer
◽
Machine Learning
◽
Treatment Response
◽
Learning Algorithms
◽
Response Prediction
◽
Machine Learning Algorithms
◽
Treatment Response Prediction
Start Chat
Download Full-text
Author response for "Prediction of coastal flooding risk under climate change impacts in South Korea using machine learning algorithms"
10.1088/1748-9326/aba5b3/v3/response1
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2020
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Author(s):
Sang-Jin Park
◽
Dong-kun Lee
Keyword(s):
Climate Change
◽
Machine Learning
◽
South Korea
◽
Learning Algorithms
◽
Climate Change Impacts
◽
Coastal Flooding
◽
Machine Learning Algorithms
◽
Author Response
◽
Flooding Risk
Start Chat
Download Full-text
Author response for "Prediction of coastal flooding risk under climate change impacts in South Korea using machine learning algorithms"
10.1088/1748-9326/aba5b3/v2/response1
◽
2020
◽
Author(s):
Sang-Jin Park
◽
Dong-kun Lee
Keyword(s):
Climate Change
◽
Machine Learning
◽
South Korea
◽
Learning Algorithms
◽
Climate Change Impacts
◽
Coastal Flooding
◽
Machine Learning Algorithms
◽
Author Response
◽
Flooding Risk
Start Chat
Download Full-text
Author response for "Comparison of machine learning algorithms for the prediction of five‐year survival in oral squamous cell carcinoma"
10.1111/jop.13135/v2/response1
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2020
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Author(s):
Huda Alkhadar
◽
Michaelina Macluskey
◽
Sharon White
◽
Ian Ellis
◽
Alexander Gardner
Keyword(s):
Machine Learning
◽
Squamous Cell Carcinoma
◽
Oral Squamous Cell Carcinoma
◽
Cell Carcinoma
◽
Squamous Cell
◽
Learning Algorithms
◽
Machine Learning Algorithms
◽
Author Response
Start Chat
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