Summary of ML techniques applied in medical field
| ML technique | Medical field applied | Illustrative reference |
|---|---|---|
| Supervised learning | Unrecognized diabetes detection | Johanson and Huang (2022) |
| Ischemic heart disease detection | Hani and Ahmad (2022) | |
| Mortality risk estimation in intensive care units | Bouvarel and Carrat (2022) | |
| Unsupervised learning | Text mining, literature retrieval | Ahmed, Mohamed, Zeeshan, and Dong (2020) |
| Development of EMRs | Shinozaki (2019) | |
| Reinforcement learning | Pandemic control and management | van der Schaar et al. (2020) |
| Ensemble learning | Nosocomial infection prediction | Wiens et al. (2016) |
| Neural networks | Breast cancer treatment suggestions | Zachariah et al. (2022) |
| Surgery, endoscope manipulation, radiography diagnosis | Char, Shah, and Magnus (2018) | |
| Microsurgery, laparoscopic quality evaluation | Porpiglia et al. (2020) | |
| ML in postoperative process planning | Crowson et al. (2020) | |
| Generative pre-trained transformer 3 (GPT-3) | Language translation, chatbots, text completion | Ali et al. (2023) |
| AlphaFold | Protein structure prediction, targeted treatment development | Nussinov, Zhang, Liu, and Jang (2022) |
| Reinforcement learning | Robotics, game-playing AI, autonomous systems | Bangui and Buhnova (2021) |
| Generative adversarial networks (GANs) | Image, video and music generation | Sharma et al. (2022) |
| Transformer networks | Language translation, question answering, text classification | Caldarini, Jaf, and McGarry (2022) |
| Federated learning | Privacy-preserving machine learning on decentralized data sources | Zhang et al. (2023) |
| ML technique | Medical field applied | Illustrative reference |
|---|---|---|
| Supervised learning | Unrecognized diabetes detection | |
| Ischemic heart disease detection | ||
| Mortality risk estimation in intensive care units | ||
| Unsupervised learning | Text mining, literature retrieval | |
| Development of EMRs | ||
| Reinforcement learning | Pandemic control and management | |
| Ensemble learning | Nosocomial infection prediction | |
| Neural networks | Breast cancer treatment suggestions | |
| Surgery, endoscope manipulation, radiography diagnosis | ||
| Microsurgery, laparoscopic quality evaluation | ||
| ML in postoperative process planning | ||
| Generative pre-trained transformer 3 (GPT-3) | Language translation, chatbots, text completion | |
| AlphaFold | Protein structure prediction, targeted treatment development | |
| Reinforcement learning | Robotics, game-playing AI, autonomous systems | |
| Generative adversarial networks (GANs) | Image, video and music generation | |
| Transformer networks | Language translation, question answering, text classification | |
| Federated learning | Privacy-preserving machine learning on decentralized data sources |
Source(s): Authors’ elaboration
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