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Predicting self-harm within six months after initial presentation to youth mental health services: A machine learning study.
In PloS one ; h5-index 176.0
Iorfino Frank, Ho Nicholas, Carpenter Joanne S, Cross Shane P, Davenport Tracey A, Hermens Daniel F, Yee Hannah, Nichles Alissa, Zmicerevska Natalia, Guastella Adam, Scott Elizabeth, Hickie Ian B
In IEEE transactions on cybernetics
Chen Ke, Xue Bing, Zhang Mengjie, Zhou Fengyu
Direct Kinetic Fingerprinting for High-Accuracy Single-Molecule Counting of Diverse Disease Biomarkers.
In Accounts of chemical research ; h5-index 162.0
Mandal Shankar, Li Zi, Chatterjee Tanmay, Khanna Kunal, Montoya Karen, Dai Liuhan, Petersen Chandler, Li Lidan, Tewari Muneesh, Johnson-Buck Alexander, Walter Nils G
Detecting MLC modeling errors using radiomics-based machine learning in patient-specific QA with an EPID for intensity-modulated radiation therapy.
In Medical physics ; h5-index 59.0
Sakai Madoka, Nakano Hisashi, Kawahara Daisuke, Tanabe Satoshi, Takizawa Takeshi, Narita Akihiro, Yamada Takumi, Sakai Hironori, Ueda Masataka, Sasamoto Ryuta, Kaidu Motoki, Aoyama Hidefumi, Ishikawa Hiroyuki, Utsunomiya Satoru
IMRT QA, machine learning, quality assurance, radiomics
In Journal of neurology
Sidoroff Victoria, Raccagni Cecilia, Kaindlstorfer Christine, Eschlboeck Sabine, Fanciulli Alessandra, Granata Roberta, Eskofier Björn, Seppi Klaus, Poewe Werner, Willeit Johann, Kiechl Stefan, Mahlknecht Philipp, Stockner Heike, Marini Kathrin, Schorr Oliver, Rungger Gregorio, Klucken Jochen, Wenning Gregor, Gaßner Heiko
Gait analysis, Gait variability, Multiple system atrophy, Parkinson’s disease, Wearable sensors
Automatically Explaining Machine Learning Prediction Results on Asthma Hospital Visits in Patients With Asthma: Secondary Analysis.
In JMIR medical informatics ; h5-index 23.0
Luo Gang, Johnson Michael D, Nkoy Flory L, He Shan, Stone Bryan L
asthma, forecasting, machine learning, patient care management