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6761.
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6763.
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6764.
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6765.
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Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score. [electronic resource] by
- Segar, Matthew W
- Vaduganathan, Muthiah
- Patel, Kershaw V
- McGuire, Darren K
- Butler, Javed
- Fonarow, Gregg C
- Basit, Mujeeb
- Kannan, Vaishnavi
- Grodin, Justin L
- Everett, Brendan
- Willett, Duwayne
- Berry, Jarett
- Pandey, Ambarish
Producer: 20200727
In:
Diabetes care vol. 42
Availability: No items available.
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6766.
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6767.
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Risk stratification of cervical lesions using capture sequencing and machine learning method based on HPV and human integrated genomic profiles. [electronic resource] by
- Tian, Rui
- Cui, Zifeng
- He, Dan
- Tian, Xun
- Gao, Qinglei
- Ma, Xin
- Yang, Jian-Rong
- Wu, Jun
- Das, Bhudev C
- Severinov, Konstantin
- Hitzeroth, Inga Isabel
- Debata, Priya Ranjan
- Xu, Wei
- Zhong, Haolin
- Fan, Weiwen
- Chen, Yili
- Jin, Zhuang
- Cao, Chen
- Yu, Miao
- Xie, Weiling
- Huang, Zhaoyue
- Bao, Yuxian
- Xie, Hongxian
- Yao, Shuzhong
- Hu, Zheng
Producer: 20200527
In:
Carcinogenesis vol. 40
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Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction Without Volume Measurements Using a Machine Learning Algorithm Mimicking a Human Expert. [electronic resource] by
- Asch, Federico M
- Poilvert, Nicolas
- Abraham, Theodore
- Jankowski, Madeline
- Cleve, Jayne
- Adams, Michael
- Romano, Nathanael
- Hong, Ha
- Mor-Avi, Victor
- Martin, Randolph P
- Lang, Roberto M
Producer: 20200608
In:
Circulation. Cardiovascular imaging vol. 12
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6773.
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6774.
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6775.
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Lipidome-based rapid diagnosis with machine learning for detection of TGF-β signalling activated area in head and neck cancer. [electronic resource] by
- Ishii, Hiroki
- Saitoh, Masao
- Sakamoto, Kaname
- Sakamoto, Kei
- Saigusa, Daisuke
- Kasai, Hirotake
- Ashizawa, Kei
- Miyazawa, Keiji
- Takeda, Sen
- Masuyama, Keisuke
- Yoshimura, Kentaro
Producer: 20210115
In:
British journal of cancer vol. 122
Availability: No items available.
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6777.
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Borderline Personality Features in Inpatients with Bipolar Disorder: Impact on Course and Machine Learning Model Use to Predict Rapid Readmission. [electronic resource] by
- Salem, Haitham
- Ruiz, Ana
- Hernandez, Sarah
- Wahid, Kareem
- Cao, Fei
- Karnes, Brandi
- Beasley, Sarah
- Sanches, Marsal
- Ashtari, Elaheh
- Pigott, Teresa
Producer: 20200619
In:
Journal of psychiatric practice vol. 25
Availability: No items available.
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