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ORCIDPrecision Health and Medicine, 2020
- Arash Shaban-Nejad
, Martin Michalowski:
Precision Health and Medicine - A Digital Revolution in Healthcare. Studies in Computational Intelligence 843, Springer 2020, ISBN 978-3-030-24408-8 - Arash Shaban-Nejad, Martin Michalowski:
From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention. 1-7 - Ashlynn R. Daughton, Michael J. Paul:
Constructing Accurate Confidence Intervals When Aggregating Social Media Data for Public Health Monitoring. 9-17 - Qingzhu Gao, Humberto González, Parvez Ahammad:
MCA-Based Rule Mining Enables Interpretable Inference in Clinical Psychiatry. 19-31 - Victor Mendiola, Abnob Doss, Will Adams, Jose Ramos, Matthew Bruns, Josh Cherian, Puneet Kohli, Daniel W. Goldberg, Tracy Hammond:
Automatic Exercise Recognition with Machine Learning. 33-44 - Keyuan Jiang, Shichao Feng, Ricardo A. Calix, Gordon R. Bernard:
Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses. 45-55 - Daniel Vente, Ognjen Arandjelovic, Vincent O. Baron, Evelin Dombay, Stephen H. Gillespie:
Using Machine Learning for Automatic Estimation of M. Smegmatis Cell Count from Fluorescence Microscopy Images. 57-68 - Parminder Bhatia, Kristjan Arumae, E. Busra Celikkaya:
Dynamic Transfer Learning for Named Entity Recognition. 69-81 - Masahito Sakishita, Chihiro Ogawa, Kenji J. Tsuchiya, Toshiki Iwabuchi, Taishiro Kishimoto, Yoshinobu Kano:
Autism Spectrum Disorder's Severity Prediction Model Using Utterance Features for Automatic Diagnosis Support. 83-95 - Cecilia Panigutti, Riccardo Guidotti, Anna Monreale, Dino Pedreschi:
Explaining Multi-label Black-Box Classifiers for Health Applications. 97-110 - Masahito Sakishita, Taishiro Kishimoto, Akiho Takinami, Yoko Eguchi, Yoshinobu Kano:
Large-Scale Dialog Corpus Towards Automatic Mental Disease Diagnosis. 111-118 - Joan Zheng, Raymond L. Finzel, Serguei Pakhomov, Maria L. Gini:
Spoken Dialogue Systems for Medication Management. 119-127 - Juan Lorenzo Hagad, Ken-ichi Fukui, Masayuki Numao:
Deep Visual Models for EEG of Mindfulness Meditation in a Workplace Setting. 129-137 - Parminder Bhatia, E. Busra Celikkaya, Mohammed Khalilia:
End-to-End Joint Entity Extraction and Negation Detection for Clinical Text. 139-148 - Siyan Tao, Yao Guo, Chuang Zhu, Huang Chen, Yue Zhang, Jie Yang, Jun Liu:
Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image. 149-157 - Takumi Saito, Masaki Onishi, Ikushi Yoda, Satomi Kuroshima, Michie Kawashima, Koutaro Uchida, Jun Oda, Shiro Mishima, Tetsuo Yukioka:
Analysis of Team Medical Care Using Integrated Information from the Trajectories of and Conversations Among Medical Personnel. 159-168 - Xing Han Lu, Hiroshi Mamiya, Joseph Vybihal, Yu Ma, David L. Buckeridge:
Guiding Public Health Policy by Using Grocery Transaction Data to Predict Demand for Unhealthy Beverages. 169-176 - Hirokazu Narui, Rui Shu, Félix F. González-Navarro, Stefano Ermon:
Domain Adaptation for Human Fall Detection Using WiFi Channel State Information. 177-181 - Ke Yan, Huijuan Lu:
Evaluating Ensemble Learning Impact on Gene Selection for Automated Cancer Diagnosis. 183-186 - Kexin Huang, Rodrigo Frassetto Nogueira:
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection. 187-191 - WenJia Feng, Zekun Yu, Mingon Kang, Haijun Gong, Tae-Hyuk Ahn:
Practical Evaluation of Different Omics Data Integration Methods. 193-197
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