Cancer prediction for industrial Iot 4.0 : a machine learning perspective / edited by Dr. Meenu Gupta, Dr. Rachna Jain, Dr. Arun Solanki, Dr. Fadi Al-Turjman
1. Investigation of IOMT based Cancer Detection and PredictionMeet Shah, Harsh Patel, Jai Prakash Verma, Rachna Jain2. Histopathological Cancer Detection using CNNSoham Taneja, Rishika Garg, Preeti Nagrath, Bhawna Gupta 3. Role of Histone Methyltransferase In Breast CancerSurekha Manhas and Zaved Ahmed Khan4. Breast Cancer Detection Using Machine Learning and Its ClassificationAshish Kumar, Ruchir Ahluwalia 5. Diagnosis & Prediction of Type- 2 Chronic Kidney Disease Using Machine Learning ApproachesRitu Aggarwal, Prateek Thakral6. Behavioural Prediction of Cancer using Machine LearningAshish Kumar, Rishit Jain 7. Prediction of cervical cancer using machine learningAshish Kumar, Revant Singh Rai, Mehdi Gheisari8. Applications of Machine Learning in Cancer prediction and PrognosisGeetika Sharma, Dr. Chander Prabha9. Significant advancements in cancer diagnosis using machine learningGurmanik Kaur, Ajat Shatru Arora10. Human papillomavirus and cervical cancerSurekha Manhas and Zaved Ahmed Khan, Shakeel Ahmed11. Case Studies/ Success Stories on Machine Learning and Data Mining for Cancer PredictionDr. Chander Prabha, Geetika Sharma.
| Medienart: |
E-Book |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
Place of publication not identified: Chapman and Hall/CRC, ; 2022 |
| Ausgabe: |
First edition. |
| Reihe: |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Gupta, Meenu [HerausgeberIn] |
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| Links: |
www.taylorfrancis.com [lizenzpflichtig] |
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| ISBN: |
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| Themen: |
COMPUTERS / Database Management / Data Mining |
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| Umfang: |
1 online resource (xiv, 204 pages). |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
1815776862 |
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| 245 | 1 | 0 | |a Cancer prediction for industrial Iot 4.0 |b a machine learning perspective |c edited by Dr. Meenu Gupta, Dr. Rachna Jain, Dr. Arun Solanki, Dr. Fadi Al-Turjman |
| 250 | |a First edition. | ||
| 264 | 1 | |a [Place of publication not identified] |b Chapman and Hall/CRC, |c 2022 | |
| 300 | |a 1 online resource (xiv, 204 pages). | ||
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| 520 | |a 1. Investigation of IOMT based Cancer Detection and PredictionMeet Shah, Harsh Patel, Jai Prakash Verma, Rachna Jain2. Histopathological Cancer Detection using CNNSoham Taneja, Rishika Garg, Preeti Nagrath, Bhawna Gupta 3. Role of Histone Methyltransferase In Breast CancerSurekha Manhas and Zaved Ahmed Khan4. Breast Cancer Detection Using Machine Learning and Its ClassificationAshish Kumar, Ruchir Ahluwalia 5. Diagnosis & Prediction of Type- 2 Chronic Kidney Disease Using Machine Learning ApproachesRitu Aggarwal, Prateek Thakral6. Behavioural Prediction of Cancer using Machine LearningAshish Kumar, Rishit Jain 7. Prediction of cervical cancer using machine learningAshish Kumar, Revant Singh Rai, Mehdi Gheisari8. Applications of Machine Learning in Cancer prediction and PrognosisGeetika Sharma, Dr. Chander Prabha9. Significant advancements in cancer diagnosis using machine learningGurmanik Kaur, Ajat Shatru Arora10. Human papillomavirus and cervical cancerSurekha Manhas and Zaved Ahmed Khan, Shakeel Ahmed11. Case Studies/ Success Stories on Machine Learning and Data Mining for Cancer PredictionDr. Chander Prabha, Geetika Sharma | ||
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| 700 | 1 | |a Al-Turjman, Fadi |e herausgeberin |4 edt | |
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