"Bana sen diye hitap edemezsin. Okuduğunuz fakültelerde yıllarca eğitim verdim, bana sen diye hitap etmenizi kabul etmiyorum. 64 yaşındayım. İnsanlık onuruna aykırı şekilde Ankara’dan buraya kelepçeyle getirildim. Benim üst seviyede fıtığım var. Beş buçuk saat boyunca kelepçeliydim. Ben elinde silah olan birisi değilim, benim tek silahım kalemim, beynim.Ben de bu suçlamaların üzerimdeki etkisini bilemiyorum ama kim olduğumu da unutmadım.Mesleğimi, kimliğinden bağımsız tüm insanları görünür kılma çabasıyla sürdürdüm. Takdir edersiniz ki yıllarımı verdiğim adli tıbba, iddianameyi yazan ve adli tıbbı bildiğini iddia eden savcıdan daha çok hakimim. Videodaki belirtiler üzerine yaptığım tıbbi değerlendirme bir ön tanıdır. Tanıya erişebilmek için de etkili ve bağımsız bir soruşturma ve belgeleme gerekmektedir. Neyse ki Milli Savunma Bakanlığı, Mecliste soruşturma yapacağını söyledi. Ama bağımsız mıydı? Hayır. Bir insan hakları savunucusu olarak ifade özgürlüğü ve toplumun haber alma hakkını savunma sorumluluğum vardır. Bir kamusal entelektüel olarak soru sorma, kamuya hakikat bildirme talebim bilim insanı sorumluluğunun yanı sıra yurttaş olmamın sorumluluğundandır. Hekimlik insana dair, insanlığa karşı suçların karşısında durmaktan, zeytinimize, arımıza sahip çıkmaya, savaşlardan iklim değişikliğine kadar her türden halk sağlığına zarar veren unsurun karşısında durmaktır. Nazım Hikmet’in de dediği gibi 'yaşamak ciddi iştir'.”
Şebnem Korur Fincancı
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Understanding IHD with Data Science
Ischemic Heart Disease (IHD), more commonly recognized as coronary artery disease, is a profound health concern that stems from a decreased blood supply to the heart. Such a decrease is typically due to fatty deposits or plaques narrowing the coronary arteries. These arteries, as vital conduits delivering oxygen-rich blood to the heart, play a paramount role in ensuring the heart's efficient functioning. An obstruction or reduced flow within these arteries can usher in adverse outcomes, with heart attacks being the most dire. Given the gravity of IHD, the global medical community emphasizes the essence of early detection and prompt intervention to manage its repercussions effectively.
A New Age in Healthcare: Embracing Data Science
As we stand on the cusp of the fourth industrial revolution, technology's intertwining with every domain is evident. The healthcare sector is no exception. The integration of data science in healthcare is not merely an augmentation; it's a paradigm shift. Data science, with its vast array of tools and methodologies, is fostering new avenues to understand, diagnose, and even predict various health conditions long before they manifest pronounced symptoms.
Machine Learning: The Vanguard of Modern Medical Research
Among the myriad of tools under the vast umbrella of data science, Machine Learning (ML) shines exceptionally bright. An essential offshoot of artificial intelligence, ML capitalizes on algorithms and statistical models, granting computers the capability to process vast amounts of data and discern patterns without being explicitly programmed.
In the healthcare realm, the applications of ML are manifold. From predicting potential disease outbreaks based on global health data trends to optimizing patient flow in bustling hospitals, ML is progressively becoming a linchpin in medical operations. One of its most lauded applications, however, is its prowess in early disease prediction, and IHD detection stands as a testament to this.
Drawn to the immense potential ML holds, I ventured into a research project aimed at harnessing the RandomForestClassifier model's capabilities. Within the medical research sphere, this model is celebrated for its robustness and adaptability, making it a prime choice for my endeavor.
Deep Dive into the Findings
The results from the ML model were heartening. With an accuracy rate of 90%, the model’s prowess in discerning the presence of IHD based on an array of parameters was evident. Such a high accuracy rate is pivotal, considering the stakes at hand – the very health of a human heart. 9 times out of 10 the model is correct at its predictions.
Breaking down the data, some correlations with IHD stood out prominently:
Moderate COPD (Chronic Obstructive Pulmonary Disease) – 15%: COPD's inclusion is noteworthy. While primarily a lung condition, its linkage with heart health has been a topic of numerous studies. A compromised respiratory system can inadvertently strain the heart, underscoring the interconnectedness of our bodily systems.
Diabetes – 18%: The correlation between diabetes and heart health isn't novel. Elevated blood sugar levels over extended periods can damage blood vessels, including the coronary arteries.
Age (segmented in quarterlies) – 15%: Age, as an immutable factor, plays a significant role. With age, several bodily systems gradually wear down, rendering individuals more susceptible to a plethora of conditions, IHD included.
Smoking habits – 14%: The deleterious effects of smoking on lung health are well-documented. However, its impact extends to the cardiovascular system, with nicotine and other chemicals adversely affecting heart functions.
MWT1 and MWT2 (indicators of physical endurance) – 13% and 14% respectively: Physical endurance and heart health share an intimate bond. These metrics, gauging one's physical stamina, can be precursors to potential heart-related anomalies.
Redefining Patient Care in the Machine Learning Era
Armed with these insights, healthcare can transcend its conventional boundaries. A deeper understanding of IHD's contributors empowers medical professionals to devise comprehensive care strategies that are both preventive and curative.
Moreover, the revelations from this study underscore the potential for proactive medical interventions. Instead of being reactive, waiting for symptoms to manifest, healthcare providers can now adopt a preventive stance. Patients exhibiting the highlighted risk factors can be placed under more meticulous observation, ensuring that potential IHD developments are nipped in the bud.
With the infusion of machine learning, healthcare is on the cusp of a personalized revolution. Gone are the days of one-size-fits-all medical approaches. Recognizing the uniqueness of each patient's health profile, machine learning models like the one employed in this study can pave the way for hyper-personalized care regimens.
As machine learning continues to entrench itself in healthcare, a future where disease predictions are accurate, interventions are timely, and patient care is unparalleled isn't merely a vision; it's an impending reality.
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Covered Call ETFs as Defensive Assets
Back in May 2023, I spoke about three new covered call ETFs released on the ASX by Global X (AYLD, UYLD, and QYLD). In my opinion, as someone gets older, their should transition their portfolio towards income-producing assets, and high dividend ETFs are a great way to easily gain exposure to high dividend ETFs. One type of high dividend ETF that tends to generate very high income yield is covered…
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I'm pleased to announce that my paper, “The Develes Engynnes: Technological Textures of Life on Earth and in Space” is now available in the fall 2023 Journal of Space Philosophy. The above link is directly to the paper; the link below is to the issue:
Here's the abstract:
“ The failure of a multiplicity of spacecraft designs in a variety of ways highlights some of the challenges for human beings utterly dependent upon technology for survival in space. A thought experiment is formulated to explore human dependency on technology in extraterrestrial space, in contrast to human survival on Earth. Don Ihde’s conception of the technological texture of contemporary life is employed to examine the nature of human dependency upon technology in space. Technologies are shown to embody scientific presuppositions, and some scientific presuppositions are discussed. The consequences of human life shaped by technologies, in turn shaped by scientific presuppositions are examined, with their significance for human societies in space considered.”
The paper discusses many issues germane to philosophy of technology. Among other ideas, in this paper I introduce the concept of techno-dysphoria, which I define as follows: “…the use of a counterintuitive technology accompanied by depression, anxiety, and agitation.”
I think this is a potentially useful concept as most of us have experienced this at one time or another, but for which we have not, to date, had a term to explicitly identify the experience.
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13 détenus décédés dans les prisons turques depuis le début de l'année
Selon l’IHD, 13 détenus ont perdu la vie dans les prisons turques depuis le début de l’année 2023. Six d’entre eux sont morts dans des circonstances suspectes.
La Commission des prisons de l’Association des droits de l’homme (IHD) a tenu une conférence de presse au siège de l’association, à Ankara, concernant les décès dans les prisons. La conférence de presse a eu lieu en présence de la…
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Monster trio: their reactions if you won against him on a fight
Luffy
If it's a friendly fight, Luffy always fights to win, but he won't get mad or hold a grudge against you for beating him. He'll probably be excited to have the opportunity to fight you again and try to beat you the second time. He's always looking for a good fight and he's always looking for ways to get stronger, so he won't be mad at you at all for beating him.
"Y/n you are really a good fighter!" He say happy somehow "you really should join my crew! I will absolutely need you!" And now you got a begging stray hat guy annoying you to joing him...
Zoro
If you were to fight Zoro, I believe that he would be very surprised at first, He would not expect you to want to fight him. At first, he would joke and tease you. He would make jokes about how weak you are, or that you don't stand a chance. He would not take you seriously at first, but once he saw how strong you were and the damage you were causing him, he would begin to get serious. He would become more aggressive and would fight with everything he had. He would not want to lose to you, but he would definitely respect you after the fight was over.
"WTF? why didn't you told me you could fight like this?!" He would be extremely offended but something light inside him that day. He is eyeing you more in the middle of fights now... almost like a secret admirer...
Sanji
Well, Sanji doesn't really like fighting pretty ladies! But, if you really want to fight him, he'd never back down from a challenge!Ihd didn't think you'll beat him though...And if you won, he'd probably be all blushing and embarrassed! he'd probably be impressed that you were strong! Sanji loves a good fight, after all! .
"Mademoiselle..." he say with the most lovesick look you ever saw "you are stuning my lady. Your moves are so perfect..." he keeps complementing you. You got yourself a following puppy for each time you go training now...
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Indian Hotel Directory, is your definitive guide to luxury accommodations and hospitality across the diverse landscapes of India. Since our inception, we have been committed to showcasing the finest hotels, resorts, and guesthouses that embody the rich cultural heritage and warm hospitality of India. Whether you seek a serene retreat in the Himalayas, a beachside escape in Goa, or a bustling urban oasis in Mumbai or Delhi, the Indian Hotel Directory is your trusted companion.
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